How AMRs Can Empower Employees and Create New Jobs
Identity-first AI governance: Securing the agentic workforce
AI agents are now operating inside production systems, querying Snowflake, updating Salesforce, and executing business logic autonomously. In many enterprises, they authenticate using static API keys or shared credentials rather than distinct identities in the corporate IDP.
Authenticating autonomous systems through shared credentials introduces real governance risk.
When an agent executes an action, logs often attribute it to a developer key or service account instead of a clearly defined autonomous actor. Attribution becomes ambiguous. Least privilege weakens. Revocation may require rotating credentials or modifying code rather than disabling a governed identity. In a non-deterministic environment, that delay slows investigation and containment.
Shared credentials turn autonomous systems into “shadow identities”: actors operating inside production without a distinct, governed identity in the enterprise directory.
Most organizations have monitoring and guardrails in place. The issue is structural. Autonomous systems are operating outside first-class identity governance within the same control plane that secures human users. Closing this gap requires aligning agents with the identity model that governs your workforce, ensuring every autonomous actor is traceable, permission scoped, and centrally revocable.
The hidden risk: Modern agentic AI is non-deterministic
Traditional enterprise software follows predefined logic. Given the same input, it produces the same output.
Agentic AI systems operate differently. Instead of executing a fixed script, they use probabilistic models to:
- Evaluate context
- Retrieve information dynamically
- Construct action paths in real time
If you instruct an agent to optimize a supply chain route, it may reference weather forecasts, fuel cost data, and historical performance before determining a route. That flexibility enables agents to solve complex, multi-system problems that traditional software cannot address.
However, non-deterministic systems introduce new governance considerations:
- Execution paths may vary from one request to the next.
- Retrieved data sources may differ depending on context.
- Outputs can contain reasoning errors or inaccurate conclusions.
- Actions may extend beyond what a developer explicitly scripted.
When a system can continuously access company data and execute actions autonomously, it cannot be governed like a static application. It requires clear identity attribution, tightly scoped permissions, continuous monitoring, and centralized revocation authority.
Why credential-based security breaks in agentic environments
Most enterprises still secure AI agents using static API keys or shared service credentials. That model worked when software executed predictable logic. It breaks down when autonomous systems operate across production environments.
When an agent authenticates with a shared credential, activity is logged but not clearly attributed. A Salesforce update or Snowflake query may appear to originate from a developer key rather than from a distinct autonomous system. Attribution becomes blurred. Least privilege is harder to enforce. Containment depends on rotating credentials or modifying code instead of disabling a governed identity.
The problem is identity governance, not monitoring visibility.
Traditional security assumes credentials map to accountable users or services. Shared credentials break that assumption. In a non-deterministic environment, that ambiguity slows investigation and increases exposure.
The strategic shift: Identity-first governance
The governance gap created by shadow identities cannot be solved with additional monitoring. It requires a structural shift in how autonomous systems are governed.
When a system can dynamically retrieve data, generate probabilistic outputs, and execute actions across enterprise platforms, it is no longer just an application. It is an operational actor. Governance must reflect that.
Identity-first governance treats autonomous systems as first-class identities within the same directory that governs human users. Each agent receives a distinct identity, clearly scoped permissions, and auditable activity attribution.
This changes the control model. Access is tied to identity rather than static credentials. Actions are logged to a specific actor. Permissions can be adjusted without modifying code. Revocation occurs at the identity layer, not inside application logic.
The result is a unified identity plane for human and autonomous actors. Instead of building parallel AI security stacks, organizations extend existing identity controls. Policy remains consistent. Incident response remains centralized. Innovation scales without fragmenting governance.
A practical example: Identity backed agents in practice
One architectural response to the identity governance gap is to provision autonomous systems as first-class identities inside the corporate directory, rather than authenticating them through static API keys.
This approach requires coordination between agent orchestration and enterprise identity infrastructure. Through a deep integration between DataRobot and Okta, organizations can now provision agents built in the DataRobot Agentic Workforce Platform as governed, first-class identities directly inside Okta. Agents deployed within the DataRobot Agentic Workforce Platform can be provisioned as governed identities inside Okta instead of relying on shared credentials.
In this model, each agent receives a directory backed identity. Authentication occurs through short lived, policy controlled tokens rather than long lived credentials embedded in code. Actions are logged to a specific autonomous actor. Permissions are scoped using existing least privilege controls.
This directly addresses the attribution and revocation challenges described earlier. When an agent is deployed, its identity is created within the corporate IDP. When permissions change, governance workflows apply. If behavior deviates from expectation, security teams can restrict or disable the agent at the identity layer, immediately adjusting its access across integrated systems such as Salesforce or Snowflake.
The impact is operational. Autonomous systems become visible actors inside the same identity plane that secures human users. Rather than introducing a parallel AI security stack, organizations extend the controls they already operate and audit.

Three governance principles for agentic AI
As autonomous systems move into production environments, governance must become explicit. At minimum, three principles are essential.
1. Eliminate static credentials
Autonomous systems should not authenticate through long lived API keys or shared service accounts. Production agents must use short lived, policy controlled credentials tied to a governed identity. If an autonomous system can access enterprise systems, it must authenticate as a distinct actor within the identity provider.
2. Audit the actor, not the platform
Security logs should attribute actions to specific autonomous identities, not to generic services or developer keys. In non-deterministic systems, platform level visibility is insufficient. Governance requires actor level attribution to support investigation, anomaly detection, and access review.
3. Centralize revocation authority
Security teams must be able to restrict or disable an autonomous system through the primary identity control plane. Containment should not depend on code changes, credential rotation, or redeployment. Identity must function as an operational control surface.
Non-deterministic systems are not inherently unsafe. But when autonomous systems operate without identity level governance, exposure increases. Clear identity boundaries convert autonomy from a governance liability into a manageable extension of enterprise operations.
AI governance is workforce governance
Agentic systems now operate inside core workflows, access regulated data, and execute actions with real consequence. Governance models designed for deterministic software are not sufficient for autonomous systems.
If a system can act, it must exist as a governed identity within the same control plane that secures your workforce. Identity becomes the foundation for attribution, least privilege, monitoring, and centralized revocation. When agents operate inside the corporate directory rather than outside it, oversight scales with innovation.
This model is taking shape through closer integration between agent orchestration platforms and enterprise identity providers, including the collaboration between DataRobot and Okta. Rather than building parallel AI security stacks, organizations can extend the identity infrastructure they already operate to autonomous systems. To see how identity-backed agents can operate securely inside enterprise environments, explore The Enterprise Guide to Agentic AI or schedule a demo to learn how DataRobot and Okta integrate agent orchestration with enterprise identity governance.
The post Identity-first AI governance: Securing the agentic workforce appeared first on DataRobot.
The foundation for a governed agent workforce: DataRobot and NVIDIA RTX PRO 4500
Moving AI agents from experimental pilots to a full-scale enterprise workforce requires more than just a model; it requires a hardware foundation that balances high-performance inference with industry-leading cost and power performance.
DataRobot has technically validated the NVIDIA RTX PRO 4500 as an inference engine with a Blackwell architecture for the DataRobot Agent Workforce Platform. This combination provides the compute power and control necessary for mission-critical autonomous agents.
Performance without over-provisioning
For the modern AI Factory, the NVIDIA RTX PRO 4500 occupies a strategic middle ground in the NVIDIA lineup. With 32GB of high-speed GDDR7 memory, 800 GB/s bandwidth, FP4 precision, and a 2nd-Gen Transformer Engine it sits between the entry-level L4 (24GB) and the high-end L40S (48GB).
This 32GB VRAM buffer is specifically optimized for agentic workflows:
- Local Execution: Enough headroom to host sophisticated LLMs alongside multi-agent orchestration layers.
- Low Latency: Reduces the delay in complex reasoning tasks, essential for real-time applications.
- Data Privacy: Supports on-premises deployment for sensitive enterprise data.
Validated use cases for the enterprise
The price-to-performance ratio of the NVIDIA RTX PRO 4500 excels in two high-impact areas:
1. Real-time logistics and business planning: By leveraging NVIDIA cuOpt, agents can solve complex routing and scheduling problems. The NVIDIA RTX PRO 4500 provides the parallel processing power to run these heavy optimization engines in concert with the agent’s reasoning LLM on a single node.
2. Production-grade RAG pipelines: Retrieval-Augmented Generation (RAG) is the backbone of reliable agents. Combined with NeMo Retriever NIM, including multimodal document understanding models that extract structured content from tables, charts, and complex page elements, this hardware excels at the embedding, indexing, and retrieval steps, ensuring agents maintain context across diverse data formats without performance bottlenecks.
From infrastructure to orchestration
Hardware provides the raw horsepower, but the DataRobot Agent Workforce Platform provides the ability to leverage that compute to build useful customer applications in a secure, governed manner. As organizations transition to autonomous agents, DR provides a runtime and build environments to fully utilize the GPU power.
Runtime
1/ Seamless scalable and cost effective inferencing
2/ Embedded governance and monitoring in agents and apps
3/ Out-of-the-box security and identity
Build
1/ Comprehensive set of builder tools
2/ Extensive evaluation
3/ Embedded hooks to make deployment easy
Completing the stack with dataRobot
Hardware is the engine, and DataRobot’s Agent Workforce Platform makes it work for the business. While the NVIDIA RTX PRO 4500 provides the compute, DataRobot provides the platform to build and manage mission-critical agents with guardrails, observability, and governance.
By combining NVIDIA’s market-leading hardware with DataRobot’s end-to-step platform, organizations can finally transition from experimental AI to a governed, scalable agent workforce. Whether you are running on-premises today or looking toward a hybrid cloud future, this stack is the definitive blueprint for the AI-driven enterprise.
The post The foundation for a governed agent workforce: DataRobot and NVIDIA RTX PRO 4500 appeared first on DataRobot.
4D printing technology uses waste sulfur to enable self-actuating soft robots
Graphene-based sensor to improve robot touch
Schematic showing the materials used in the sensor and the sensing array on a robotic manipulator. Figure from Multiscale-structured miniaturized 3D force sensors. Reproduced under a CC BY 4.0 licence.
Robots are becoming increasingly capable in vision and movement, yet touch remains one of their major weaknesses. Now, researchers have developed a miniature tactile sensor that could give robots something much closer to a human sense of touch.
The technology, developed by researchers at the University of Cambridge, is based on liquid metal composites and graphene – a two-dimensional form of carbon. The ‘skin’ allows robots to detect not just how hard they are pressing on an object, but also the direction of applied forces, whether an object is slipping, and even how rough a surface is, at a scale small enough to rival the spatial resolution of human fingertips. Their results are reported in the journal Nature Materials.
Human fingers rely on multiple types of mechanoreceptors to sense pressure, force, vibration, and texture simultaneously. Reproducing this level of multidimensional tactile perception in artificial systems is a significant challenge, especially in devices that are both small and durable enough for practical use.
“Most existing tactile sensors are either too bulky, too fragile, too complex to manufacture or unable to accurately distinguish between normal and tangential forces,” said Professor Tawfique Hasan from the Cambridge Graphene Centre, who led the research. “This has been a major barrier to achieving truly dexterous robotic manipulation.”
To overcome this, the research team developed a soft, flexible composite material, combining graphene sheets, deformable metal microdroplets, and nickel particles, embedded in a silicone matrix.
Inspired by the microstructures found in human skin, the researchers shaped the material into tiny pyramids, some as small as 200 micrometres across. These pyramid structures concentrate stress at their tips, enabling the sensor to detect extremely small forces while maintaining a wide measurement range.
The result is a tactile sensor sensitive enough to detect a grain of sand. Compared with existing flexible tactile sensors, the new device improves size and detection limits by roughly an order of magnitude.
The sensor can also distinguish shear forces from normal pressure, a capability that allows it to detect when an object begins to slip. By measuring signals from four electrodes beneath each pyramid, the sensor can mathematically reconstruct the full three-dimensional force vector in real time.
In demonstrations, the team integrated the sensors into robotic grippers. The robots were able to grasp fragile objects, such as thin paper tubes, without crushing them. Unlike conventional force sensors, which rely on prior information about an object’s properties, the new system adapts in real time through slip detection.
At even smaller scales, microsensor arrays could identify the mass, geometry, and material density of tiny metal spheres by analysing force magnitude and direction. This opens the door to applications in minimally invasive surgery or microrobotics, where conventional force sensors are far too large.
Beyond robotics, the technology could have significant implications for prosthetics. Advanced artificial limbs increasingly rely on tactile feedback to provide users with a sense of touch. Highly sensitive, miniaturised 3D force sensors could enable more natural interactions with objects, improving control, safety, and user confidence.
“Our approach shows that bulky mechanical structures or complex optics are not required to achieve high-resolution 3D tactile sensing,” said lead author Dr Guolin Yun, a former Royal Society Newton International Fellow at Cambridge, and now Professor at the University of Science and Technology of China. “By combining smart materials with skin-inspired structures, we achieve performance that comes remarkably close to human touch.”
Looking ahead, the researchers believe the sensors could be miniaturised even further, potentially below 50 micrometres, approaching the density of mechanoreceptors in human skin. Future versions may also integrate temperature and humidity sensing, moving closer to a fully multimodal artificial skin.
As robots increasingly move out of controlled factory environments and into homes, hospitals, and unpredictable real-world settings, such advances in touch could be transformative — allowing machines not just to see and act, but to truly feel.
A patent application has been filed through Cambridge Enterprise, the University’s innovation arm. The research was supported by the Royal Society, the Henry Royce Institute, and the Advanced Research and Invention Agency (ARIA). Tawfique Hasan is a Fellow of Churchill College, Cambridge.
Reference
Multiscale-structured miniaturized 3D force sensors, Guolin Yun, Zesheng Chen, Zhuo Chen, Jinrui Chen, Binghan Zhou, Mingfei Xiao, Michael Stevens, Manish Chhowalla & Tawfique Hasan, Nature Materials (2026).
Beyond the Flat Floor: Bridging the "Terrain Gap" with Intelligent Vertical and All-Terrain Robotics
SAP AI Agents: How Enterprises Are Deploying Agentic AI on SAP?
SAP AI Agents: How Enterprises Are Deploying Agentic AI on SAP?
The Problem That Brought You Here
Your SAP environment runs the core of the business — procurement, inventory, production planning, finance. And now leadership is asking what AI can actually do on top of it. Not a demo. Not a proof of concept. Something that runs in production and solves a real bottleneck.
SAP AI agents are the answer a growing number of enterprise IT and operations teams are landing on. This article explains what they are, where they are being deployed today, and what it takes to put one into a live SAP environment.
USM Business Systems is a specialized SAP AI delivery partner based in Ashburn, VA. We place SAP BTP AI developers, AI Core engineers, and enterprise LLM integration specialists inside enterprises and system integrators executing SAP AI programs.
What Is a SAP AI Agent?
An AI agent is software that perceives its environment, reasons about a goal, takes actions, and checks results — without a human directing each step. When that environment is SAP, the agent reads SAP data, calls SAP APIs or workflows, interprets the output, and acts again.
SAP has built AI agent infrastructure directly into its platform. SAP Joule, the AI copilot embedded across S/4HANA, BTP, and SAP Analytics Cloud, uses an agentic architecture under the hood. Developers can extend it using SAP AI Core, the managed AI runtime where custom models and agents are deployed and governed at enterprise scale.
The practical result is an agent that can, for example, monitor a supplier’s delivery performance in SAP, flag an anomaly, cross-reference historical data, draft a purchase order adjustment, and route it for approval — without a procurement analyst touching it.
Where Enterprises Are Deploying SAP AI Agents Today?
- Procurement and Supplier Intelligence
Agents monitor supplier delivery windows, contract compliance, and pricing variances inside SAP Ariba and S/4HANA. When a pattern signals risk — a supplier consistently shipping 4 days late on a specific SKU category — the agent flags it, pulls the relevant contract terms, and surfaces a recommended action. Procurement teams report 60-70% reductions in manual monitoring time after deploying these agents [Gartner, 2024 Supply Chain AI Survey].
- Production Scheduling and Capacity Planning
In manufacturing environments, agents integrated with SAP PP (Production Planning) adjust schedules dynamically based on real-time inventory levels, machine availability, and demand signals from SAP IBP. The agent doesn’t replace the planner — it does the 45 minutes of data gathering and cross-referencing that used to happen before every planning decision.
- Finance and Accounts Payable Automation
Agents working in SAP Finance match invoices against purchase orders, flag discrepancies above a defined threshold, and route exceptions to the right reviewer. Companies using this pattern report 80%+ straight-through processing rates on standard invoices within 90 days of deployment [McKinsey, 2024 Finance AI Report].
- Inventory and Demand Signal Processing
Agents read point-of-sale signals, seasonal demand patterns, and supplier lead times from SAP, then recommend reorder quantities and safety stock adjustments. This is particularly high-value in food production and retail distribution where demand volatility is high and the cost of stockouts is immediate.
- What is the difference between SAP Joule and a custom SAP AI agent?
SAP Joule is SAP’s native AI copilot — it works within SAP’s defined interaction patterns and covers general tasks across S/4HANA, SAP SuccessFactors, and other SAP applications. A custom SAP AI agent is built to solve a specific workflow problem in your environment, using SAP AI Core or SAP BTP as the infrastructure. Custom agents handle tasks Joule does not cover natively and can integrate with non-SAP data sources inside the same workflow.
- Do SAP AI agents require a full BTP implementation to deploy?
Not necessarily. Agents that work purely within S/4HANA APIs can be deployed with targeted BTP services rather than a full BTP platform rollout. The right architecture depends on where your data lives, what your agent needs to access, and your existing SAP landscape. A scoping conversation typically takes 30 minutes to map this out.
What Makes SAP AI Agent Deployments Fail?
Most SAP AI agent projects that stall do so for one of three reasons:
- The agent was built without a clean data feed. Agents that read SAP master data often encounter inconsistent coding, missing fields, or legacy data structures that were never cleaned because no one needed them to be. The agent surfaces the problem immediately.
- The workflow boundary was too broad at the start. ‘Automate procurement’ is not an agent design. ‘Monitor supplier on-time delivery for the top 50 SKUs and flag variance above 10%’ is. Scoping matters more here than in almost any other AI project type.
- The team building it did not have SAP AI Core experience. Standard ML engineering skills do not transfer cleanly to SAP’s AI infrastructure. SAP AI Core has its own API patterns, lifecycle management approach, and governance requirements. Engineers who have not worked inside it add 4-8 weeks of ramp time to every deployment.
What a SAP AI Agent Deployment Actually Looks Like
A typical first agent deployment for a mid-to-large SAP environment follows this sequence:
- Week 1-2: Workflow scoping. Identify the specific process, the SAP modules involved, the data fields the agent needs to read, and the action it will take on completion.
- Week 3-4: Data readiness assessment. Confirm that the relevant SAP master data and transactional data are clean enough for the agent to reason accurately. Identify gaps.
- Week 5-8: Build and test in SAP AI Core. Deploy the agent model, connect to SAP APIs, build the agentic loop, run on historical data.
- Week 9-10: Controlled live run. Agent runs in parallel with the existing manual process. Outputs are compared. Confidence thresholds are tuned.
- Week 11-12: Production deployment with monitoring. Agent goes live. A dashboard tracks decision volume, exception rate, and accuracy. A human review loop handles edge cases.
Why USM Business Systems?
USM Business Systems is a CMMi Level 3, Oracle Gold Partner AI and IT services firm headquartered in Ashburn, VA. With 1,000+ engineers, 2,000+ delivered applications, and 27 years of enterprise delivery experience, USM specialises in AI implementation for supply chain, pharma, manufacturing, and SAP environments. Our SAP AI practice places specialized engineers inside enterprise programs within days — on contract, as dedicated delivery pods, or on a project basis.
Ready to put SAP AI into production? Book a 30-minute scoping call with our SAP AI team at usmsystems.com.
FAQ
What SAP modules are most commonly used with AI agents?
SAP S/4HANA, SAP Ariba, SAP IBP, SAP PP, SAP Finance, and SAP Datasphere are the most active areas. The agent infrastructure runs on SAP AI Core and BTP regardless of which module the agent is reading or acting on.
How long does a first SAP AI agent deployment take?
A well-scoped first agent typically reaches production in 10-14 weeks. Projects that try to automate too broad a workflow or that start with messy master data take longer.
Do we need to train a model from scratch?
Most SAP AI agent deployments use pre-trained LLMs or SAP’s foundation models as the reasoning layer, fine-tuned or prompted for the specific workflow. Training from scratch is rarely necessary and significantly extends timelines.
Can SAP AI agents work with non-SAP systems in the same workflow?
Yes. SAP AI Core supports external API connections, so an agent can read a SAP data source, call a third-party logistics API, and write a result back to SAP in the same workflow loop.
What governance controls exist for SAP AI agents?
SAP AI Core includes lifecycle management, model versioning, audit logging, and role-based access. Agents deployed in regulated industries like pharma can be configured to require human approval above defined thresholds before taking action.
[contact-form-7]Sorry, No Fleshbags
Social Network for AI Agents Only Snapped-up by Mark Zuckerberg
Meta CEO Mark Zuckerberg has acquired a social network designed for AI agents only – no humans allowed.
Essentially, AI agents interact, talk and commiserate with one another on the text-based network – dubbed Moltbook – much like humans do on other social networks.
As for Moltbook’s human inventors: They got a lucky break with the sale.
Observes Reuters: “The deal will bring Moltbook co-founders Matt Schlicht and Ben Parr into Meta Superintelligence Labs.”
In other news and analysis on AI writing:
*ChatGPT Promising to Add AI Sora Video Maker: Long considered one of the most advanced video makers on the planet, the Sora video maker is promised to show up as a new feature for ChatGPT soon.
Observes writer Viktor Eriksson: “Sora is impressive. Not only is it more realistic with advanced movements and physics, but last October it gained the ability to ‘insert people’ into its videos.”
*AI Filmmaking: With the Latest Tools, You’re Writer, Director and Cinematographer: Hollywood’s fears that AI will someday render movie studios irrelevant seem more urgent than ever.
These days, the latest tools enable someone with a fresh imagination to become writer, director and cinematographer — and do it on the cheap.
TV producer Matt Zien, for example, says he recently cranked-out a 12-minute short film using AI tools. It cost in the low thousands of dollars to create – rather than the millions that a Hollywood studio would have charged.
*Photoshop Gets an AI Assistant: Photoshop novices just got a leg-up with the roll-out of the tool’s new AI assistant: You can now use natural language in Photoshop to add special effects, make an easy crop, punch-up shadows and more.
Observes writer Ivan Mehta: “Adobe said that paid users of Photoshop will be able to create unlimited generations with the AI assistant through April 9 — and free users will get 20 generations to start with.”
Looks like creating supplemental images for your blog or other digital property just got a whole lot easier.
*Zoom’s Answer to Boring Meetings: Send Your AI Avatar Instead: Video meeting service provider Zoom is promising to add AI avatars to its solution, which you’ll be able to send to all those insufferable online meetings in your place.
Observes writer Ivan Mehta: “The AI avatars, announced last year, are the long-anticipated photorealistic avatars that can mimic your appearance, expressions, and lip and eye movements.
“Designed to mime your actions when you’re not “camera-ready,” Zoom says the avatars will work in online meetings as well as in its asynchronous video messaging product.”
*LegalZoom Legal Advice Now Available in ChatGPT: Long-time legal advisor LegalZoom is now available within ChatGPT for users looking for business advice backed by a deep understanding of the law.
Observes Jeff Stibel, CEO, LegalZoom: “LegalZoom provides the expertise and clarity to help small business owners go from idea to action.
“Backed by attorney expertise, we’re making legal guidance and accountability even more accessible, when and where they need it.”
*Gemini Gets Tighter Integration with Google Workspace Suite: Google is out with a new upgrade to Gemini designed to ensure the ChatGPT competitor is more tightly integrated with Google Docs, Sheets, Slides and Drive.
Observes Yulie Kwon Kim, VP product/workspace: “Today we are re-imagining how people create content.”
Click here for the blow-by-blow that backs-up Kim’s statement.
*Microsoft Copilot Adds New AI Agent Module, Cowork: Seems like every time you turn around, Microsoft is giving its Copilot chatbot an agentic upgrade.
This time, it’s adding ‘Copilot Cowork’ to its bag of tricks, which promises to trigger AI agent work on Copilot to be more proactive and independent.
The key benefit with the upgrade: The ability of ‘Copilot Cowork’ to work with many Microsoft apps simultaneously – rather than being tied to just one app at a time.
*Oops: Grammarly Deep-Sixes ‘Expert Review’ After Fierce Backlash: Turns-out, more than a few authors and writers were livid after discovering that Grammarly was poaching their thinking and writing styles to offer ‘expert reviews’ of writing put together by Grammarly users.
Observes Analytics Insight: “The feature provided users with writing advice as if it were coming from well-known experts, quickly raising concerns about misrepresentation and identity misuse.
“Grammarly said it is reviewing the feature’s design and considering changes.”
*AI Big Picture: Get AI to Do Your Taxes? Maybe Not: While AI may indeed cure cancer one day, for now, better not unleash it on your taxes.
A recent test of the top AI chatbots on the planet by The New York Times found that the AIs were simply no good at doing taxes.
Equally disappointing were Gemini, ChatGPT, Claude and Grok.

Share a Link: Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.
–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.
The post Sorry, No Fleshbags appeared first on Robot Writers AI.
Scientists discover AI can make humans more creative
New chip lets robots see in 4D by tracking distance and speed simultaneously
Top FinTech Mobile App Development Companies In Texas, USA
Top FinTech Mobile AI App Development Companies in Texas, USA
Mobile app development is a tidal wave in this digital era. Every business is focusing on AI app development to reach a wider audience base and the banking and financial sector is not an exception. The usage of banking apps, e-wallet apps, UPI payment apps, and insurance and investment, stocks trading apps has been increased.
Mobile banking AI app developers are assisting companies to provide convenient online banking services to their customers. On the other side, E-wallet app developers by creating mobile wallet apps like Google Pay, PhonePe, PayPal are making money transaction secure, faster, and easier.
Accordingly, FinTech AI app developers are playing a vital role in the development of the best insurance, investment, and remittance apps.
Be it any category, mobile application development companies in the USA, with deep knowledge on building bespoke mobile software applications are assisting banking and finance companies to hold the market opportunities for FinTech applications.
Are you searching for top Fintech mobile app development companies in Texas, USA?
You can end you’re here. In this article, we have given the list of the best mobile app development companies in Texas, USA. Our expert analysts with deep research on the mobile app development industry in the United States listed the most trusted software development companies in Texas, USA.
Here is the list of the best FinTech mobile AI app development companies in Texas, USA.
List Of The Top FinTech AI App Development Companies in Texas, USA
1. BoTree Technologies-Top FinTech App Development Company In USA
BoTree Technologies is one of the famous digital banking and Fintech services providers in the USA. With a vision to improve the business profitability of their clients, this popular financial software development company aims to deliver custom FinTech solutions that meet the rules and regulations of the financial industry.
The company’s FinTech App Development Services include:
- Flawless Peer-to-peer (P2P) payment apps
- Personal FinTech apps development
- E-wallet apps development
- Crowdfunding software development services
Recommend to Read: How Much Does It Cost to Develop a FinTech App?
2. USM Business Systems- The best Fintech software development Company In Texas, USA
USM Business Systems is USA-based leading software and mobile app development services and solutions provider. With over two decades of extensive experience in developing featured mobile and web applications, the company is one of the trusted and top mobile app development companies in the United States of America (USA).
The company is backed with 800+ successfully deployed mobile app development projects, 500+ web apps, and nearly 200+ enterprise-level software applications that have been delivered to leading brands across the US, India, UAE, and many more countries.
The company offers:
- High-performing and features-rich Native Android App Development Services
- Bugs-free native iOS app development services
- Custom software application development services
- Artificial Intelligence (AI) development services
- Custom web development services
- E-commerce app development services
- Enterprise-level applications (CRM, ERP, and CMS systems) development services
3. Cleveroad- Top Web & Mobile App Development Company in California and Texas
Here is another best mobile and web application development services provider in the USA. It is an expert in building customized app solutions for startups, mid-level companies, and brands. It offers end-to-end iOS and Android app development services.
Its software development services include:
- iOS App Development– Native swift apps for iPhone, iPad, and other Apple devices
- Android App Development- Native mobile apps for Android using Kotlin
- Flutter App Development- Hybrid app development using Dart client-optimized programming language
- Progressive web app development services
- UI/UX Design
4. Hyena Information Technologies- Famous Financial apps developer USA
Hyena is one of the best mobile app developers In Texas, USA. The company aims to deliver high-quality mobile applications that meet the industry and regulatory standards. It offers reliable app development services to clients across diversified industries, including the banking and financial sector, healthcare, retail/e-commerce, manufacturing, and many other industries.
The company is best in providing:
- IT Staff augmentation services
- HR management services and solutions
- Cloud migration services
- Native Android and iOS application development services
- AI and ML consultancy and app development services
- The Internet of Things (IoT) application development services
Recommend to Read: Tips to Banks for Optimizing Security Level in their Mobile Banking Apps
5. OpenXcell- The Best Financial Application Development Services Company USA
OpenXcell is a leading mobile app development company in the USA. Since its incorporation in 2009, the company has submitted nearly 3000 Android and iOS apps, and these applications grabbed the attention of over 15 million users globally. The company has its footprint in India, the United States, Canada, the UK, and Australia.
It is an expert in:
- Custom Software Development
- Mobile App Development
- Product Engineering
- AI & ML Development
- DevOps development
- UI/UX Design
- Web App Development
- Blockchain Development
- E-Commerce Website Development
- Software Testing & QA
6. UppLabs- Top Mobile Banking App Development Agency in USA
UppLabs is one of the best mobile app development services providers in USA. It offers top-notch software app development services to FinTech, Healthcare, and real estate sectors.
Driven by 8+ years of FinTech development experience, it is an expert in creating best-in-class digital FinTech solutions using the latest technologies. It has proven experience in developing Stock-trading apps, InsurTech apps, Robo-advising apps, RegTec apps, Blockchain apps, Crowdfunding platforms, and cryptocurrency exchange apps.
The company has been awarded #1 Fintech App Development Company by TopDevelopers. It also has been crowned with many awards such as Top 10 App Development Companies in Ukraine, Top Web Development Companies on Clutch, Top Software Development Companies in Ukraine, Top Mobile App Developers, Top React Native App Development Company, Top Software Development Companies, etc.
Here are the best app development services of UppLabs:
- FinTech solutions and software development
- Web and mobile app development
- IT consulting services
7. Magneto IT Solutions- Top Mobile App Development Company in Texas, USA
It is one of the best mobile apps development companies in Texas, San Francisco, and New York. The company is also a popular app development firm in Australia, India, the Middle East, and the United Kingdom. With 12 years of experience, the company has delivered approximately 1,800 projects yet.
The company is engaged in providing mobile application development solutions for FinTech, Real Estate, and Utility industries. Its mobile apps development services include:
- Swift apps development or iOS app consulting, development, and support services
- Kotlin apps development or Android app consulting, development, and support services
- AI development or AI-based chatbot consulting, development, and support services
- Custom software apps or web apps development
- ERP application development
- E-commerce or marketplace application development
- React Js, Node Js, and Angular Js Development
- PHP development
8. Intellectsoft US- Custom Mobile apps developer in Texas, USA
With hundreds of apps delivered to a broad range of business domains, Intellectsoft stood on our list as the leading iOS Mobile App Development Services provider in the USA. The company is recognized as the best financial software development company that uses AI and ML technologies to build highly intelligent and interactive Fintech apps for android and iPhone.
Its app development services comprise:
- Custom iOS apps development services
- iPhone App Development
- iPad App Development
- Apple Watch App Development
- Apple TV App Development
- App Clips Development
- Custom Android apps development services
- Android Mobile App Development
- Android TV App Development
- Android Tablet App Development
- Android Wear App Development
- Cross-platform app development services
- Hybrid Mobile App Development
- Hybrid Tablet App Development
- Hybrid TV App Development
- UI/UX design services for iPhone, Android, Web, and Hybrid apps
- Progressive web app development services
- Mobile apps for IoT wearables
- IT Consulting and app prototyping
- Quality assurance (QA) testing
- Custom Financial Software Development
- Blockchain solutions and platforms
- Custom online banking platforms
- Digital wallet apps for P2P Payments and instant money transfer
- AI-powered stock tracking applications
- Robotic Process Automation (RPA) based enterprise-level solutions
- App maintenance and post-delivery support
These are a few mobile app development companies that have all capabilities to build the best FinTech app solution that allows you to better engage customers, improve productivity, and ensure profits.
Approach USM, the best mobile application development company in Texas, USA, for user-engaging, user-friendly, user-centric apps.
[contact-form-7]Canine companion insights help robots locate objects with an 89% success rate
Top 10 Mobile App Development Companies In Miami, Florida
Top 10 Mobile App Development Companies in Miami, Florida
As we are all aware the USA is one of the most impacted countries by COVID. Because of the COVID pandemic, the downloads and usage of mobile apps are in high demand. Domestic and international organizations across various industries are investing in mobile application development and exploring the profits of digital businesses.
Education, finance, healthcare, retail, manufacturing, logistics, and many more industries in the country are switching to custom application development to make the business successful in these tough times.
This trend is a driving force behind the growth of the app development industry. The mobile AI app development industry in Miami, Florida is witnessing sharp growth and expanding faster than expected. The demand for mobile app development services, including native app development, cross-platform app development, and progressive app development is growing and illuminating a profitable business era for software app developers in Florida.
If you are looking ahead to hiring a top custom app developer from Miami, Florida, this article will help you in many ways. Here is the list of the best Mobile App Development Companies in Miami, Florida (USA).
List of the Top Miami Mobile App Development Companies
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USM Business Systems
USM Business Systems is a top mobile app developer in Miami, Florida (USA). The company is providing the best Android app development, iPhone app development, and web app development services to businesses across various industries since 1999.
It has strong hands-on healthcare app development, e-learning app development, AI app development, ML app development, and IoT app development. The company’s software developers have delivered over 1000 mobile and web apps in various categories.
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Simform
Simform is one of the top 10 trusted Android App Development Companies in Miami, Florida (USA). The company designs and develops results-driven mobile apps leveraging the power of Artificial Intelligence, Machine Learning, the Internet-of-Things (IoT), and Speech Recognition like cutting-edge technologies. The best custom software development company builds innovative applications on mobile and web platforms as per the client’s needs.
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Consultica
Consultica is the best full-service mobile app consultancy and development company headquartered in Canada. Since 2009, with the help of a fully experienced team of app developers, the company has successfully designed and developed hundreds of Android apps, iPhone apps, and web apps. It focuses on high-quality bugs-free code, attractive design, and user-friendly features to make digital solutions stand out of the box. It is a top app developer in the USA and Europe.
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FuGenX
FuGenX is a leading mobile app developer in Florida, USA. This award-winning mobile application development company offers quality-driven mobility services to small, medium, and multinational organizations. Since its inception in 2008, FuGenX has developed and delivered 800+ mobile apps and over 500 top-notch web apps. It is also popularized as the Top Mobile App Development Company in India and Dubai (UAE).
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Hyena Information Technologies
If you are looking to invest in custom apps for android or advanced apps for iPhone, hire Hyena Information Technologies. The company has vast experience in the design and development of software applications with a set of best-in-class applications. Driven by its reliability and quality app development services, this popular custom software development company in the USA has been listed in the list of top Miami Mobile App Development Companies.
The company offers mobile development, CRM development, UI/UX Design, AI development, AR/VR development, Blockchain development, AI Chatbots, and many more.
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Jafton
Jafton is an innovative software development company in Miami, Florida. It is an expert in providing Custom Software Development, NFT Development, Mobile App Development, iOS Development, Android Development, Blockchain development, Staff Augmentation, and Hybrid App Development services. Lolly, Caria, SHEIN (One of the best e-commerce platforms in the world), Peanut, and GoalSetter-like featured apps have been under Jafton’s portfolio. It is also a popular software development house in New York and Frisco (Texas).
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OrNsoft Corporation
OrNsoft Corporation is one of the most preferred custom software development companies in Miami, Florida (USA). With a vision to bring business intelligence to its client business processes, the domestic app development firm in Florida is using next-generation intelligent technologies and creating top-notch software solutions. Hence, the company is popularized as the best AI development company in the USA. It offers Custom software development, software integration, cloud integration, cybersecurity, and IT consulting services.
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Softbolt
Softbolt is the best app development partner for mobile and blockchain app development in Miami, FL. Using the most advanced and unique techniques and methods, the company is building features-rich and full-fledged software applications that ensure robust performance and incredible convenience on end-user devices. Its services include mobile development, IoT development, and UX/UI design.
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Messapps
Messapps is a top app development agency in Miami and New York which is engaged in providing application development, design, and consulting services. The company has become a leading software development agency in Chicago, Austin, Charlotte, Atlanta, Detroit, and Phoenix.
Interactive iPhone app design and development, Android application design & development, Enterprise app design and development, web app development, and cross-platform app development are core services that you can expect from Messapps at an affordable budget.
10. TECKpert
TECKpert is Florida’s leading digital transformation company that has 13+ years of experience in the industry. With a team of seasoned IT and digital marketing professionals, the company has worked on hundreds of projects and grabbed the attention of app development investors in Miami. It is an expert in Full-stack development, e-commerce development, CMS development, Xamarin development, iPad app development, iOS app development, Android app development, and Wearable apps development services.
The company is also one of the best digital marketing agencies in Miami, Florida. From social media promotion, content creation, and search engine optimization to email marketing, paid social media, and lead generation, it is the best business partner for businesses in Florida, USA.
Conclusion
Mobile AI app development is the best decision for businesses to stay competitive in this digital world. It help organizations switch their conventional operations into digital platforms and assist them in reaching a wide range of audience.
The best Android app development companies in Miami (Florida) and iOS app development companies in USA like USM, Hyena Information Technologies, and FuGenX Technologies will create best-in-class software applications for mobile and web platforms.
Get a free app development quote now!
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Top 10 Innovative AI App Development Companies In Dallas
Top 10 Innovative AI App Development Companies in Dallas, Texas
Mobile application development companies in Dallas are flagging a green signal for incredible innovation and outstanding advancements and modernization in developing Android and iOS applications. From strategy planning to end-app delivery, every mobile app development company in Dallas focuses on delivering out-of-the-box digital solutions for its esteemed clients.
In this article, we have listed the best Dallas mobile application development companies. If you are looking to hire top app developers from Dallas, we hope that this information would help you partner with the best company for custom mobile app development.
The Best 10 Mobile AI App Development Companies in Dallas Texas
#1. USM Business Systems
USM Business System is one of the best mobile app development companies in Dallas (Texas, USA). Adopting the latest AI app development trends as a core strategy, the company’s full-stack developers will create bespoke mobile and web apps for businesses across various industries.
This Dallas-based award-winning app development agency is specialized in offering custom native app development by integrating Artificial intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) like advanced technologies.
For AI development, custom Android apps development, iPhone app development, Blockchain development, e-commerce development, and many more, USM is the best application development partner for you.
It also offers chatbots development, RPA development, wearable app development, AR/VR app development, IoT app development, e-wallet apps development, cross-platform apps development, Magento development, and many more.
Recommend To Read: Top 25 Mobile App Development Companies in The USA
#2. Bluestone Apps
Bluestone Apps is a leading custom mobile application development company in Dallas. It was established in 1996. Since its inception the company running confidently with a vision to create and develop best-in-class mobile applications.
It has a team of creative designers and dynamic app developers who are dedicated to creating instant results-driven and future-friendly mobile software applications. It has a proven experience in the development of a range of app categories.
The company is an expert in travel apps development, restaurant table booking apps development, marketplace app development, online food delivery apps development, healthcare apps development, file/document sharing apps development, shopping apps development, and audio/video calling/chatting application development, and many more.
Recommend To Read: 17 Best iOS App Development Companies In The USA
#3. Hyena Information Technologies
Hyena was founded in 1999 and headquartered in Chantilly, Virginia. It is a top #mobile app development company in the USA. Being the best software development company in Dallas, the company has delivered cutting-edge mobile and web solutions for startups to Fortune 500 companies.
This Dallas-based Mobile Application Development Company offers full-stack app development services from requirements gathering, strategy planning, prototyping, and UX/UI designing to app features development, testing, and deployment on app stores. The company also provides reliable app maintenance and support services within the budget quote they offered initially.
Hyena’s application development services include:
- Android app development (Kotlin App Development Services)
- iOS app development (Swift App Development Services)
- Web apps Development
- Ionic Development
- Flutter Development
- Xamarin Development
- PhoneGap Development services, etc.
Would you like to know the cost of iOS app Development in 2022?
[contact-form-7]#4. WebClues InfoTech
WebClues Infotech is one of the biggest mobile app development services providers in Dallas, (USA). To accelerate digital growth and scale-up the operational efficiency of its clients, the company strives to build robust applications for web, Android, and iPhone devices.
It is a popular web and mobile development services provider in the USA, India, and UK. From UI/UX development and mobile application development to website development, CMS, and e-Commerce development, the company has delivered hundreds of high-quality and efficient applications.
As of WebClues records, it has developed and delivered nearly 950+ innovative and collaborative applications for nearly 600 clients across its operating regions.
Recommend To Read: How Machine Learning Development Generates Profits For Your Online Business?
#5. FuGenX Technologies
FuGenX Technologies is a top-rated mobile application development company that is engaged in providing end-to-end software development services for businesses of all sizes.
For the development of banking and Fintech apps, online food delivery apps, groceries delivery apps, cab booking apps, education apps, and video streaming apps, FuGenX is the best business partner for all your application development services.
It is a leading technology services provider specializing in AI/ML development, mobile application development, mobile game development, and Web development. It is a popular app developer in Dallas, Bangalore, Hyderabad, Ahmedabad, San Francisco, Chantilly, and Dubai.
Get a free app quote for your app development idea!
[contact-form-7]#6. The BHW Group
The BHW Group is a popular mobile app developer in Austin, Texas. It has a strong footprint in Dallas. Being a leading Web Development and Mobile App Development Company in the USA, the company’s goal is to develop client-centric and user-friendly software applications using the latest app development technologies and frameworks.
The company focused to create the best digital solutions that meet the business needs and helps them in accelerating digital transformation across operations. From design and development to maintenance and support, The BHW Group will stand behind its clients.
The company adds user-friendly and user-engaging features to your application and never compromises in delivering top-notch tailor-made solutions that meet your business needs.
Recommend To Read: 24 Best Mobile App Development Ideas To Know In 2022
#7. Retrocube
Retrocube is a popular mobile application design and development services company in Dallas. The company was incorporated in 2013.
It has vast industry expertise in building innovative, tech-powered, and creative apps for eCommerce, Business, Social media and networking, Real estate, game, and Utility industries. It has received awards from Clutch, GoodFirms, AppFuture, and many more listing companies.
Using the most advanced and the best technology stack: iOS, Android, React Native, Flutter, Ionic, Swift, Kotlin, Objective, Angular.JS, React Native, TypeScript, Vue, WPF, HTML5, Mongo DB, MySQL, MsSQL, Firebase, and DynamoDB, Retrocube molds your raw ideas into premium quality apps.
The company’s development services include:
- Custom iPhone App Development Services In Dallas
- Custom Android App Development Texas
- Custom Game Development
- E-Commerce Development etc.
#8. DOIT Software
DOIT Software is another well-known mobile application development company in Dallas. The company was headquartered in Austin and popularized as a top native app developer in Dubai (UAE), London (UK), Ukraine, Munich (Germany), and Canada.
DOIT Software, with reliable and dedicated experience in the software development industry, offers unique and powerful software development services. Its services include:
- Mobile App Development Services
- Custom Software Development Services
- IT Staff Augmentation Services
#9. Tekrevol
Tekrevol is another famous mobile app developer in the USA. The team of software developers in Dallas of Tekrevol creates best-in-class applications with exceptional user-centric features and functionalities. The company will help startups, enterprises, and brands to reach a broad range of audiences over digital platforms using mobile solutions.
It is an ideal choice for Native Android/iPhone app development, automotive app development, healthcare app development, on-demand service delivery app development, music streaming apps development, real-estate app development, and many more.
Recommend To Read: How Much Does it Cost to Develop an On-Demand Courier Delivery App or Package Tracking App?
#10. Swenson He
Swenson He is a leading mobile development company in Dallas, TX, US. The company is also a famous app development firm in Beverly Hills, California. Its app development includes:
- Mobile development
- Web development
- App development consultancy
- Cloud migration services
As for market research companies, Swenson He’s app development charges start from $20,000. However, the cost of mobile app development depends on features, functionalities, and UX/UI design complexity.
Wrapping Up
Mobile app development has manifold benefits over traditional websites or web applications. Mobile apps will change the operating ways of the world of businesses. They are weapons for organizations or businesses of all sizes to remain competitive in this digital landscape.
Among the above list, USM Business Systems has a truly dedicated experience of over two decades. From requirement analysis, competitor analysis, market research, app design, development, and deployment, USM offers you end-to-end application development services. Leveraging interactive technologies and outperforming UI frameworks, the USM team of custom application developers builds an outstanding app for your business.
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