Agents
Important Stuff You Should Probably Know About AgentOps
AgentOps: the registry, observability, evaluation, governance, and cost layers that keep production AI agents reliable and accountable.
30 June 2026
AgentOps: the registry, observability, evaluation, governance, and cost layers that keep production AI agents reliable and accountable.
A topic-by-topic guide to the best AI speakers in the UK, from agentic AI and workflows to deepfakes, governance, and copyright.
B2B agentic procurement sounds simple in a demo, but contracts, approval chains, and pricing opacity make it harder. Here’s what procurement teams should do now.
How IT infrastructure engineers in banking use AI: research, deployment planning, and source-checked troubleshooting inside on-prem constraints.
Who accounts for the tax when an AI shopping agent buys for you? Inside attribution, stacked instruments, cross-border VAT, and the agentic commerce levy.
An AI agent shops with your money, but whose rules does it follow? Inside the defaults, ranking functions, and conflicts behind agentic commerce governance.
Agentic commerce needs more than spend limits. Every agent must prove who it is, who sent it, what it can do, and which human, account, card, and rules bind the transaction.
AI recommendation poisoning hides instructions in buttons, blog copy, and product pages to bias what your AI recommends. How it works, why it sucks, and how to defend against it.
From fabricated evidence to biased facial recognition, here’s what AI hallucination costs law enforcement, and how police forces can use AI safely.
What breaks when AI agents act on their own? A field guide to agentic AI failure modes and the design habits that stop silent failures.
A practitioner’s guide to agentic AI in healthcare: use cases, examples, market data, FDA and EU rules, and the four questions to ask before adoption.
Seven legal workflows AI handles well, the legal work it shouldn’t own, and a readiness map for law firms adopting AI tools safely.
70% of public servants use AI outside approved channels. For finance teams handling taxpayer data, that creates measurable breach risk.
An analysis of 67 US LinkedIn listings reveals what employers actually want from a Chief AI Officer. Includes a copy-paste CAIO job description template, salary benchmarks, and the seven role types behind the title.
Most teams govern every AI agent the same way. The agentic AI autonomy spectrum shows why each autonomy level needs different controls.
Agencies can use AI to move faster, but adoption brings risks around review, data, pricing, training, and client expectations.
Agentic AI governance in regulated enterprise applications spans decision authority, audit trails, compliance mapping, and operational oversight.
Conway’s Law predicts your agentic AI will mirror your team structure. Learn the inverse Conway maneuver to deploy AI that holds up.
Before you sign an agentic AI contract, run it through SCOPE. A procurement guide to vendor evaluation that goes beyond the sales demo.
Enterprise AI adoption challenges include poor data, weak strategy, lagging ROI, shadow AI, harmful tools, and weak AI governance.
Shadow AI usage occurs when organisations demand productivity, restrict AI tools, and skip training, governance, and risk management.
Agentic AI templates promise speed, but often deliver inherited debt. Here’s what workflow inheritance really costs—and what the maintenance phase will demand.
ISO 42001 is the first international standard for AI governance. Here’s what it is, how it works, and what certification involves.
Most organisations have AI governance policies that don’t match how employees actually use AI. Here’s what the gap looks like and how to close it.