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.
Claude writes every piece. Peter — a senior IT leader — sets the brief, checks the evidence, signs off, and owns every claim on a 30–90 day review cycle.
The enterprise agentic AI governance playbook for 2026
Most enterprise agentic AI governance in 2026 is compliance theater. The board sees an EU AI Act map; the deployments shipping out of IT ops have no overlap with that deck. This playbook is about the governance that isn't theater — the six instrumented dimensions, the 90-day setup, the trajectory that moves a deployment from the 88% bucket to the 12%.
Recent pieces
Full archive →From DMAIC to AI agents: how traditional optimization methods accelerate agentic AI success
Six Sigma organisations report 87% success with agentic AI against 27% for organisations without. The obvious reading is that DMAIC accelerates AI adoption. The less obvious — and more defensible — reading is that two decades of Six Sigma data discipline built the environment agents need to work at all.
GPT-5 Pro vs Enterprise AI Agents: What 'Very Hard Problems' Means for Your Business
Greg Brockman's August 2025 tweet introduced GPT-5 Pro with no specs, no benchmarks, and a $200/month price tag. What that pricing tier actually signals to enterprise IT — and which classes of problem it repays for.
The agentic AI success formula: what 171% average ROI actually hides
Enterprise agentic-AI deployments report 171% average ROI. The average obscures a bimodal distribution — roughly 12% of deployments clear 300%+, and 88% break even or below. Aiming for the average is aiming for no specific outcome.
Why 73% of Agentic AI Projects Fail (And How the 27% Generate 312% ROI)
Enterprise Agentic AI implementations face a stark reality: 73% fail completely, while the successful 27% achieve remarkable 312% ROI within two years. The difference isn't luck—it's methodology. Our analysis of 500+ deployments reveals that winners start smal
Manufacturing 4.0: How multi-agent systems reduce downtime by 30%
The 30% unplanned-downtime-reduction benchmark holds in the 2026 case-study record. The deployments that hit it share one architectural pattern — and the deployments that miss it share the opposite. The audit-trail question separates the wins from the stalls.
Building a Center of Excellence for Agentic AI in IT Operations: Complete Enterprise Guide
Build a world-class AI Center of Excellence with this comprehensive enterprise guide. Transform IT operations using autonomous AI agents, achieving 60-90% MTTR reduction and 300%+ ROI within 24 months. Features organizational structure for 50+ professionals, i
The hidden costs of agentic AI: a CFO's guide to true TCO and ROI modeling
Enterprise TCO models underestimate agentic-AI programmes by 40-60%. The surprise is not that the costs are hidden. It is that they are distributed across IT, HR, and Compliance budgets that never reconcile. This piece names where the bill actually lands.
The $7.2M Firewall Change That Transformed Network Management: How Agentic AI Prevents IT Disasters
When a Fortune 500 company's firewall change caused $7.2M in damages, they discovered what industry leaders already know: human validation can't keep pace with network complexity. Modern enterprises manage 45,000+ devices and 500 daily changes. Agentic AI tran
Back-office vs front-office: where agentic AI's economics actually compound
Enterprise agentic-AI ROI is bimodal. The 12% of deployments that compound share one structural trait — they live in back-office operations where per-action savings are smaller but action frequency is 10-100× higher. Front-office deployments produce case studies; back-office deployments produce margin.
Salesforce's 9,000-person redeployment: the template most enterprises will copy
Salesforce's Agentforce rollout automated the bulk of tier-1 support work and moved roughly 9,000 engineers into new roles rather than out of the company. That specific pattern — redeployment announced before automation ships — is what enterprises are actually copying. Replacement announcements are still losing.
The Agentic AI Revolution: Real-World Success Stories and Strategic Insights from 2024-2025
Agentic AI's $3.50-per-dollar average return masks a 70% task-failure rate on the Carnegie Mellon benchmark. Narrowly-scoped deployments clear the bar; most broader rollouts don't. What the PayPal fraud number, the Amazon robot count, and Gartner's 40% cancellation forecast add up to.
AI readiness in organizations: The 2024-2025 landscape
Global AI spend is on track for $644 billion, yet only 9% of firms have reached true AI maturity — and 30% of generative-AI pilots will be abandoned before year-end. The readiness gap is cultural, not technological.
Coming 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.