We only publish what we can defend in a vendor meeting. Every claim carries an ID, a review date, and a verdict you can check.
- Our ledger261
- Holding247
- Partial08
- Not holding06
- Industry claims tracked26
- Last reviewtoday
Quiet — no verdict transitions in the last 30 days. See the ledger →
Agent Mode AI — claim-tracked agentic AI analysis
What is AI observability, and why your APM cannot do it
Gartner predicts 40% of AI-deploying organisations will run dedicated AI observability tools by 2028. The reason it needs its own tooling: AI fails semantically — drift, bias, opaque reasoning — while classic monitoring watches infrastructure health.
27 years enterprise IT operations. Global organisation. Major incidents. Editorially independent.
- 158pieces
- 261tracked claims
- 14public retractions
The Enterprise Agentic Governance Benchmark. Six dimensions, scored 0–100. Free 5-minute web diagnostic; 30–45 minute Excel for governance groups.
Recently reviewed
Three claims most recently re-tested against their primary sources. Status changes log to the corrections page; nothing quietly vanishes.
- AM-133HoldingQ3 2026 Claim Review Bulletin: which claims moved, which held, and what the EU AI Act enforcement window did to the corpusReviewed 30 Jul 2026Read article →
- OPS-101HoldingQuickBooks Workforce puts an AI agent on your payroll runReviewed 10 Jun 2026Read article →
- OPS-100HoldingMeta's Business Agent is free on WhatsApp right now. The meter comes laterReviewed 10 Jun 2026Read article →
Why this publication has a ledger
Most AI commentary gets paid for being loud about what's new. Almost none gets measured on whether what it said last quarter still holds this one. That is the gap this publication exists to close. Every published argument carries an ID, a review date, and one of three verdicts — Holding, Partial, or Not holding — that updates over time as evidence accumulates. The verdict log is the product.
When a claim stops holding, the page says so. The original sentence stays visible. The correction is dated and appended. Nothing is quietly removed. You do not need to trust the author to trust the verdicts — the receipts are public, on a 30–90 day review rhythm, and the corrections record is permanent.
Two registers
Same Holding-up disciplineMid-market and large enterprise. Procurement, governance, EU AI Act, multi-vendor agentic stacks. 30–90 day claim review cadence.
No IT department. Practitioner-advisory voice; faster 30–45 day cadence. Tools, vendor red flags, hours-per-week evaluation budgets.
Topic pillars
Five clusters- 5 articlesNon-human identity
How enterprise IT manages AI agents as first-class identities — lifecycle, credentials, procurement clauses, audit.
- 38 articlesAgent procurement
The contracts, SLAs, and evaluation criteria that distinguish agentic-AI procurement from SaaS procurement.
- 4 articlesShadow AI discovery
Detecting unauthorised agentic-AI deployments inside the enterprise — telemetry patterns, inventory methods, policy response.
- 59 articlesAgentic AI governance
Governance frameworks, oversight patterns, and compliance postures for enterprise agentic-AI deployment.
- 31 articlesEnterprise AI cost
Verifying, tracking, and challenging the ROI claims vendors and analysts make about enterprise agentic AI.
- 8 articlesRegulatory readiness
Tracking the agentic-AI regulatory timeline — EU AI Act, sector rules, audit-evidence obligations — and what enterprises must do before each deadline.
- 13 articlesVendor trajectory
Where the major agentic-AI platform vendors are heading — strategy, pricing-model shifts, and what their trajectory means for a multi-year procurement commitment.
Editor's picks
One per topic cluster- Governance90 days to EU AI Act enforcement: what the corpus says enterprises still haven't done
- Cost economicsThe hidden costs of agentic AI: a CFO's guide to true TCO and ROI modeling
- SecurityClaude Mythos: what 'too dangerous to release' means for your risk appetite and cyber posture
- ArchitectureNon-human identity for AI agents: the 2026 IAM playbook
- StrategyWhy 88% of agentic AI deployments fail
Latest pieces
Full archive →Agentic AI lands in banking, and it starts with AML
FIS and Anthropic shipped a financial-crimes agent with BMO and Amalgamated Bank in development; Lloyds runs a 40,000-licence Copilot estate at 97% active use. Banking's first production agents compress the investigation, and keep the human on the filing.
The 2 Jun White House AI order: what it actually requires
The 2 Jun AI executive order leans on voluntary frontier-model review but hard-wires the federal side: CISA binding directives and an NSA/CISA AI clearinghouse, both within 30 days.
Shadow AI discovery: the visibility you think you have
82% of enterprises found an AI agent they did not know was running, while 68% believed they had strong visibility. The gap is the finding, and it makes discovery, not policy, the binding first control.
Everyone is buying the agent access graph
Zscaler bought Symmetry, Snowflake bought Natoma, Microsoft priced Agent 365. In five weeks, three infrastructure giants targeted one layer: the map of which agent touches which data.
The non-human identity governance vacuum
Machine and AI-agent identities now outnumber humans about 45 to 1, and most enterprises have no policy to provision or retire them. NHI is the fastest-growing unmanaged attack surface, and the binding control is inventory, not perimeter.
Microsoft 365 E7 and the new shape of AI licensing
Microsoft's $99 E7 Frontier Suite and the 1 Jul base-price rises move the enterprise AI-licensing decision onto the renewal table, where even the customers who decline Copilot end up paying more.
Anthropic's $965B valuation and the vendor question it forces
Anthropic's $965B Series H overtook OpenAI's $852B. The binding risk in a multi-year Claude or GPT contract is no longer model capability; it is pricing power and exit terms.
Enterprise AI cost and ROI in 2026: what the evidence actually shows
The enterprise AI cost question in 2026 is not the seat price on the order form; it is total cost of ownership measured against realised ROI. Across four independent datasets the high-return minority is separated from the majority by measurement discipline and operational preconditions, not by model capability or vendor choice.
Browse by topic pillar
Five strategic pillarsComing next
Peter's editorial calendar — honest dates, bumped-with-notes if missed.- Week 1726 Apr 2026Non-human identity — the first procurement question CIOs aren't asking yet
Every enterprise agent deployment passes through a credential. Most teams still hand the agent a human's credential. Naming the NHI gap is the next Q2 procurement conversation.
- Week 1803 May 2026Shadow agent sprawl — what telemetry catches and what it misses
The browser-as-agent-runtime pattern creates a detection gap that MDM/CASB don't see. What the first wave of shadow-AI discovery tools actually find, and the three categories they miss.
- Week 1910 May 2026The AI agent MSA — four clauses every enterprise contract needs by August
EU AI Act enforcement activates 2 Aug 2026. The clauses that survive legal review in the next quarter will be the ones that don't pretend the agent is conventional SaaS.