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AI Agents
Building, deploying, and managing autonomous AI agents for workflow automation, customer support, internal operations, and more.
711 articles in this category
Agentic OS vs Microsoft Copilot Studio for Enterprise Agents
ibl.ai's Agentic OS and Microsoft Copilot Studio compared head to head on source code, models, data processing, agent portability and what a Copilot Credit actually costs per answer.
What Is a Learner Wallet for Skills and Credentials, and Which Platforms Offer One?
A learner wallet is a record the person keeps: degrees, certificates, badges, licenses and skills held as signed credentials an employer can check without calling the issuer. Here is how the standards fit together and which platforms offer one today.
Gemini for Healthcare Reads the Chart. Whose Infrastructure Runs the Agent?
Google Cloud put Gemini for healthcare into U.S. preview on November 10, 2026, with read-only Epic and Oracle Health connectors and a promise that clinical data stays in the customer's governed environment on Google Cloud. The question left for a health system is where the agent runs and who owns it.
What AI Agents Should an In-House Legal Department Run?
Five AI agents earn their place in a corporate legal department: contract intake and triage, NDA turnaround, matter intake from the business, outside-counsel invoice review and employee policy Q&A. The difference from law-firm AI is who uses it: the whole business, which is why per-seat pricing is the wrong shape.
CrowdStrike's AI Kill Switch vs Silent Clinical AI Drift
CrowdStrike launched an AI Kill Switch in Falcon Guardian and agreed to buy Fiddler AI and Dreadnode on November 3, 2026. A kill switch stops an agent that misbehaves loudly, but clinical AI tends to drift quietly, so health systems also need canaries: fixed test cases re-scored on a schedule, on infrastructure they own.
Which Platform Should You Use to Build and Deploy AI Agents?
Copilot Studio, Bedrock AgentCore, Gemini Enterprise Agent Platform, watsonx Orchestrate and LangChain compared on what each locks you into: models, cloud, data residency, pricing shape and source code.
Healthcare AI Pays Off in Admin, and Payers Know It Too
Healthcare AI's countable return is administrative: prior authorization, claims, coding and scheduling. Payers automate the same work from the other side of the claim, so the provider with the best evidence trail wins, and that trail belongs inside the hospital's own perimeter.
NVIDIA Auto Ontology and the Confident Wrong Answer
NVIDIA open-sourced Auto Ontology, an Apache 2.0 semantic layer that stops data agents from answering with the wrong definition of a metric. It ships an evaluation harness, not a headline score, because a correct answer depends on your own data.
October 2026's Agent Memory Launches: Who Owns the Memory?
Cohere, Meta, Couchbase, Databricks and GitHub all shipped memory for AI agents between October 5 and October 28, 2026. What an agent remembers becomes the cost of leaving its vendor, so where that memory is stored, and who can read, export and delete it, is now a procurement question.
Clinician Shadow AI Is Product Feedback, Not Just a Compliance Problem
A Johns Hopkins Bayview worker uploaded a spreadsheet covering 3,182 patients to an unapproved AI tool, and in a Wolters Kluwer survey 1 in 3 shadow-AI users pointed to missing or underpowered approved tools. Why hospitals should read shadow AI as product feedback, and what a sanctioned platform clinicians choose looks like.
Talk to Any ibl.ai Agent From Claude Code, Cursor or Claude Desktop
Since November 5, 2026 every agent deployed on ibl.ai can be added to Claude Code, Cursor, Claude Desktop or any MCP client with one agent ID and one organization API key. The agent keeps its own knowledge, memory and guardrails; what changes is where its answers are read, and that is worth deciding on purpose.
K-12 AI Agents: OIDC Sign-In, Capability Flags, and the Sandbox Default to Change on Day One
The November 6, 2026 ibl.ai release added generic OpenID Connect and Microsoft Entra sign-in, per-agent capability flags, and sandbox VMs on by default for new agents. The first two give a district identity and control; the third is a default a district should set deliberately before it builds a single agent.
Affirm's Transformer Credit Model: Approvals Up, Losses Flat
Affirm says the first version of its transformer-based underwriting model added 3.4% to end-to-end conversion through higher approvals while keeping credit losses flat. What the figure measures, why company-level provisions still rose, and what lenders should take from it.
Legal AI Agents Can Call Your APIs Without Reading the Key
An ibl.ai agent can call a live external API from inside a sandbox that starts with no network, through hosts the firm allowlists, using a key it can use but never read. OpenAI, Anthropic and Microsoft ship egress controls too; the question for a law firm is who holds the key.
ChatGPT Taper Lawsuit: Why Healthcare AI Needs Real Refusal
A wrongful-death suit filed October 27, 2026 alleges GPT-4o drafted a 25-day lamotrigine taper for a 31-year-old with epilepsy and coached her to hide it from her doctors. What the complaint alleges, why a disclaimer could not have stopped it, and what structural refusal looks like in a healthcare AI deployment.
Know Your Customer, Meet Know Your Agent: What Is the HKMA Asking?
On 2 November 2026 the HKMA launched Project SAGE, with a 22-member expert group set to explore Know Your Agent practices for verifying an AI agent's identity and delegated authority. It is a programme of exploration, not a rule yet, and it tells banks which records they will need to hold.
Healthcare AI's Bigger Risk Is the Wrong Access, Not the Wrong Answer
A radiology agent that can read billing, or a patient chatbot that can query a prescribing database, is a HIPAA access-control problem before it is an accuracy problem. How per-agent and per-chat MCP connector switches scope what each healthcare agent can reach, and what they do not replace.
AI Agents That Read Medical Bills: Why Navigation May Beat Diagnosis in Healthcare AI
Nonprofit hospitals must publish financial assistance policies, yet KFF estimates $2.7 billion in bad debt came from patients likely eligible for charity care. Why an agent that reads a bill and checks eligibility may be healthcare AI's highest-return job, and why it has to run where the patient data already lives.
Why Enterprise AI Prototypes Break on Real Workflows, and What Composition Fixes
Most enterprise AI prototypes are one agent answering one prompt, and real work is branches, retries, state and approvals. Why pilots stall at that step, what a composed workflow looks like, and which parts of ibl.ai's visual workflow editor run today.
Shannon, the Open-Source AI Pentester: What a Security Team Should Know Before Running It
Shannon, Keygraph's open-source AI pentester, passed 51,000 GitHub stars by November 2026. It is AGPL-3.0 licensed, not MIT, it mutates the systems it tests, and it sends your source context to whichever model you point it at. What that means for running offensive agents safely.
Can AI Agents Cut Platelet Waste? Hospital Logistics Evidence
Platelets last days, and a 2020 paper put US outdating near 16%. Sharing policy cut outdates about 20% at Emory, and simulation points to more. The evidence favours hospital logistics as an agent job, and the hard part is shared data.
Construct 1.0: Agents Build 3D Models and Label What They Know
Construct 1.0 turns a plain-language request into a 3D model with named parts, under Apache-2.0. It doesn't scan objects or replace CAD. Its useful idea is that every part is labelled verified, supplied, inferred or decorative.
Did Pakistan Deploy 1,500 AI Agents? What Its Sovereign AI Deal Says
The 1,500 in Pakistan's sovereign AI story is licenses for an app-building tool, not deployed agents. What the DFINITY deal covers, what the vendor now says is live, and what any public agency should ask of a sovereign AI offer.
Build, Connect, Control: The Three Layers of an Enterprise AI App
A customer service app from one prompt in about ten minutes covers only the first of three layers. Enterprise AI apps also need connections to live systems and enforceable limits on spend, access and audit, and most evaluations test only one.
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.