AI in Production — next session Thursday 24 September, 8:30 CETSee the session →

Executive notes

Executive notes for AI production decisions

Notes for moving AI from pilot to governed production, starting with revenue workflows, explicit ownership, practical guardrails, and measurable business value.

AI in Production — Episode 1 of 3 — Thursday 24 September 2026, 8:30–9:15 CET · 45 minutes · in French. See the session and register →

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Governance, costs, compliance, execution — one note at a time. Double opt-in, unsubscribe anytime.

AI governanceOctober 6, 2026

AI agents: measure accepted work, not just completed tasks

An agent can close a task without producing work the business is able to accept, so acceptance conditions, rework and full cost to acceptance must be defined and measured before production.

4 min readRead article

Artificial intelligenceSeptember 24, 2026

Specialised AI: measuring the cost of the right decision

To route a complaint to the right department, a company does not necessarily need AI that can write the response.

6 min readRead article

Executive GovernanceSeptember 22, 2026

AI agents: audit access rights before expanding their work

Giving an AI agent more work requires reviewing what its account can access, change or transmit.

5 min readRead article

AI GovernanceSeptember 17, 2026

Your AI model is not your production system

Production-ready AI depends less on the model than on the execution system that governs what agents can see, do, verify, and escalate.

7 min readRead article

AI GovernanceSeptember 15, 2026

Better AI Does Not Eliminate Ambiguity: It Makes It Executable Faster

Better AI accelerates execution, making precise specifications, independent verification and named accountability essential.

7 min readRead article

AI GovernanceSeptember 10, 2026

The AI You Never Deployed Is Already at Work in Your Organisation: Governing Default Adoption

Default AI adoption is already reshaping regulated businesses, requiring executive governance that matches the pace of vendors and employee practices.

7 min readRead article

AI GovernanceSeptember 3, 2026

AI Agents at Work: Output Volume Is Not Delivered Value

AI agents are already producing work that commits the company, so the executive question is no longer whether to pilot them but how to govern and measure what they deliver.

7 min readRead article

AI GovernanceSeptember 1, 2026

AI Moves Into the Workstation: What Computer History and Claude Cowork Mean for Your Governance

Within four days, OpenAI and Anthropic moved their assistants out of the chat window and into the workstation itself — turning a tooling question into a board-level decision on data, access rights and employment law.

8 min readRead article

AI GovernanceAugust 27, 2026

Token prices are falling, your AI bill is rising: manage cost per outcome

Token prices keep dropping while AI bills keep overrunning budgets — the answer is to steer on cost per outcome, not cost per token.

7 min readRead article

AI GovernanceAugust 20, 2026

AI Agent Governance: Six Controls Before You Open the Catalog

Plugin catalogs make agent access trivial; a one-page Agent Passport keeps purpose, permissions, evidence and outcomes accountable.

6 min readRead article

AI GovernanceAugust 18, 2026

AI Agents: Supervision Debt Can Wipe Out Your Productivity Gains

An AI agent that completes a task faster does not automatically make the business more productive — the human supervision it creates is the cost most investment cases forget to count.

6 min readRead article

AI GovernanceAugust 13, 2026

Plausible Is Not Representative: The Quality Control Your AI Deployments Are Missing

A model output can be perfectly coherent and still misstate what the underlying data actually says — and most production deployments have no way to tell the difference.

6 min readRead article

AI GovernanceAugust 11, 2026

The perception gap: your teams feel 20% faster, measurement says 19% slower

Your teams may sincerely believe AI saves them time, while end-to-end measurement shows the opposite.

6 min readRead article

AI StrategyAugust 6, 2026

Forward Deployed Engineers: what this model actually fixes, and what it won't

Both leading AI labs launched forward-deployed engineering arms in May 2026 — here is what the model solves for regulated European enterprises, and where it breaks down.

9 min readRead article

AI GovernanceAugust 4, 2026

AI agents: demand an execution contract before granting rights

Granting an AI agent more autonomy without bounding its power to act shortens the path to an incident, not to production.

6 min readRead article

AI GovernanceJuly 30, 2026

Multimodal AI: passing a text test does not prove your model is safe

A model that passes your text-based tests can behave differently once the same intent arrives as an image, which makes format itself a safety variable.

7 min readRead article

AIJuly 28, 2026

Local AI: Keeping Data on the Device Is Not Enough

Local AI adds a new execution zone, but regulated organisations need governed routing, controls and auditability to make it accountable.

6 min readRead article

Coming soon

Planned notes on revenue AI production

Short executive notes on the first workflows where ownership, governance, and value measurement need to become operational.

Revenue WorkflowsComing soon

Why CROs should not fund another sales AI pilot before fixing workflow ownership

Revenue WorkflowsComing soon

Pipeline quality is the first governance problem in revenue AI

Revenue WorkflowsComing soon

Why RFP response is a better first AI production workflow than a sales chatbot

Revenue WorkflowsComing soon

CRM adoption is not a training problem. It is an operating rhythm problem

Pilot to ProductionComing soon

How CEOs should choose the first AI workflow to move into production

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