Blog
AI Agents
Building, deploying, and managing autonomous AI agents for workflow automation, customer support, internal operations, and more.
711 articles in this category
Prior Auth Is Not a Question. Why Clinical AI Needs Pipelines.
Prior authorization, medical coding, and care coordination are multi-step processes with approval gates and failure branches — not single questions. Chat cannot express them, which is why hospital AI pilots that demo well stall at production, and why the unit of deployment has to be a governed pipeline.
The Chat Window Breaks at Five Agents. CanvasTTY Shows What's Next.
CanvasTTY arranges live terminals and AI-agent CLI sessions on an infinite canvas instead of in tabs, and zooms out to readable summaries rather than tiny noise. It is a developer tool, but it demonstrates the interface problem every organization running concurrent agents is about to hit: a linear transcript cannot show you five things at once.
99% Plan to Deploy AI Agents. 9% Have. The Gap Is Not the AI.
A August 2026 survey found 99% of companies plan to put AI agents into production and only 9-14% have fully done so. The blocker is rarely model capability — it is that an agent needs a machine-readable account of how work actually happens, and most organizations have never written one down.
Healthcare AI Should Start in the Billing Office, Not the Exam Room
Roughly 65% of denied healthcare claims are never appealed, while 54% of the ones that are get overturned. That gap is the highest-ROI AI deployment in healthcare, and it sits in the revenue cycle rather than at the point of care — but only if the PHI architecture survives a security review.
What the UK-Ukraine AI Declaration Actually Says About Sovereignty
The UK and Ukraine signed an AI partnership on 24 August 2026. It is a non-binding declaration about sharing battlefield data, not a sovereignty mandate — and reading it accurately matters more for government AI buyers than the headline does. What the document commits to, what it does not, and what India's DRONA 2.0 shows about sovereignty that is already operational.
Alibaba's ANOLISA Moves Agent Infrastructure Into the Operating System
Alibaba Cloud open-sourced ANOLISA, an agent-first Linux distribution that treats context compression, sandboxing and agent observability as operating-system services rather than application features. Here is what it actually ships, what the OS layer can and cannot own, and why the pattern favors organizations that own their stack.
The Agent-First Campus: Why Universities Are Buying an AI Operating System, Not Chatbots
Universities that moved past chatbots are not deploying a better chatbot — they are deploying a network of purpose-built agents wired into the SIS, LMS and CRM. The decision that determines whether it lasts is not which agents you build but whether you own the platform underneath them.
OpenViking's Real Number Isn't 91%. It's AGPL-3.0.
ByteDance's OpenViking cuts agent token use by 34–91% and is at 32,900 GitHub stars. It is also AGPL-3.0, which is the fact enterprise architects need first — and the one every summary of the release leaves out.
Agent Skill Catalogs Are a Supply Chain. Who Signs Yours?
Enterprise teams have stopped asking how to deploy an agent and started asking who is allowed to publish a skill. NVIDIA's verified skill pipeline treats agent capabilities as signed software artifacts — which makes the catalog a supply chain, and raises the question of who holds the signing key.
Healthcare AI Fails at the Information Layer, Not the Model
HIPAA's minimum necessary standard is a retrieval requirement, not a policy one. Most clinical AI enforces it at display time, which is too late — and it is why healthcare AI stalls at the information layer.
The Agent Runtime Just Commoditized. Now What?
DeepSeek Harness has passed 191,000 GitHub stars under MIT, Microsoft's Agent Harness reached GA, TrueForge is MIT, and Block open-sourced its Berd agent workspace under Apache 2.0. The agent loop is free — so value moves to what you build on it, where you run it, and who governs what plugs into it.
The $7.2M Abandoned AI Initiative: What Goes Wrong
The average abandoned enterprise AI initiative has $7.2M sunk into it, and 88% of pilots never reach production at all. The failure is rarely the model — it's the eighteen months spent building a foundation.
Legal AI's Next Crisis Is Trust, Not Intelligence
Legal AI agents are drafting motions using static API keys tied to shared service accounts, with no verified identity and no per-action audit trail. The LexisNexis breach confirmed in March 2026 showed what one over-privileged machine identity costs — and the profession's own attribution standards were never written for a caller that is not a person.
UK Sovereign AI: Real Procurement, But the IP Still Leaves
The UK's £500m Sovereign AI Unit is the most concrete sovereign-AI programme any major government has run — and its own contract terms let suppliers keep all the IP while government retains usage rights only. Meanwhile £1.41bn of 2026 UK public-sector AI procurement still flows mostly to Microsoft and Palantir.
79% of Enterprises Overran Their AI Budget. Here's Why.
79% of enterprises hit AI cost overruns in the past year and 80-85% missed infrastructure forecasts by more than 25%. The driver isn't model licensing or compute — it's the foundation nobody counted.
The Framework War Is About Who Owns the Agent Runtime
Within nine days in spring 2026, Microsoft collapsed Semantic Kernel and AutoGen into a single agent runtime and Intel put 32GB of VRAM in a $949 card. Those two events point in opposite directions, and the choice between them is not about features — it is about who owns the runtime your agents execute on.
The Inference Era: Why AI Pricing Has to Move Past Per-Seat
Hyperscaler capex is heading for $660-690 billion in 2026 and the money is moving from training to inference — yet enterprises still buy AI by headcount. The per-seat sticker price is also not the per-seat price: Microsoft 365 Copilot's $30 add-on is $69 to $90 a seat once the required base licenses are counted.
Banks Are Building AI Workforces on Infrastructure They Rent
Banks are deploying agents for KYC, compliance, and fraud detection — but Capgemini finds only 10% run them at scale, and most run on infrastructure the bank does not own. Why the second fact explains the first.
The Question at the Agentic AI Summit Was Governance, Not Adoption
The Agentic AI Summit at UC Berkeley drew 5,000+ attendees, and the enterprise conversation had visibly moved: not whether to adopt agents, but how to govern hundreds of them across dozens of departments.
The Model Is a Commodity. The Operating System Is the Moat.
Alibaba's Qwen crossed 3 billion downloads and open weights now match frontier performance at a fraction of the cost, which means the model is no longer where advantage lives. The durable layer is the operating system around it — and we shipped 40 production releases into ours in a single week to make the point concrete.
FERPA Governs Data, Not Which Model Reasons About It
Alibaba's Qwen crossed 3 billion downloads to become the most-downloaded open model family, and open weights now sit under products of every origin. FERPA regulates who may access an education record — it says nothing about which model processes it or where inference runs, and that gap has to be closed in the contract.
Beyond LLMs: What Reasoning Limits Mean for Clinical AI
A widely-shared DeepMind position paper argues LLMs cannot make the abductive leap that produces new scientific theories. It is a narrower claim than the headlines suggest, and it is not the reason clinical AI fails today — but it does explain why a health system should build for model replacement rather than model selection.
K-12 AI Adoption Is Outpacing Its Safety Infrastructure
K-12 is adopting AI faster than any other education segment and has the least infrastructure to govern it. What district-grade AI safety actually requires — and why the model-ownership question decides most of it.
AI Governance: Enterprise Software's Fastest-Growing Category
Vals AI raised a $40M Series A at a $400M valuation for a product that validates other companies' AI rather than building models. That is a category forming around a measurement gap — and the reason the gap exists is that most enterprises are trying to govern systems they cannot inspect.
About AI Agents
AI agents represent the next evolution in enterprise automation—intelligent systems that can reason, plan, and take action autonomously. Unlike simple chatbots, AI agents handle complex multi-step tasks across customer support, internal operations, data analysis, and specialized workflows. Discover how agentic AI is transforming how organizations operate.