Chapter · 00 / Opening

Early adopter programme · August 2026

AI governance designed for outcome

Governance designed to build the right foundation across the full AI lifecycle for Agentic, AI systems and people to work together - combining smart human judgement with AI power to govern effectively new AI system introduction, evaluation of risk vs. reward, process efficiency, ongoing optimisation and end of life of an AI system.

Apply to our 2026 early adopter program → Read the framework

The platform — AI landscape, risk mapping & governance in one place

§ 01 - The observation

Every week, another organisation announces an AI initiative.
Most will stall in pilot.

Some will cause harm they didn't anticipate. A handful will get it right - and the difference is almost never the technology.

It's whether someone took the time to observe, map, and govern before deploying.

That's what AINODIS does.

§ 02 - The method

Three Governance Moves.
In the Right Order.

01 / Observe

Capture your AI landscape & workflow.

Capture your full AI setup—applications and people alike. Map what is actually decided, escalated, and quietly overridden before any policy is drafted.

→ Contextual inquiry
→ Shadowing & diary studies
→ Decision-path mapping

02 / Map

Translate risk into action.

Translate observations into a concrete risk, decision map and action: where AI touches consequential decisions, where accountability sits, where it doesn’t.

→ Decision ownership matrix
→ Failure-mode inventory
→ Harm & exposure modelling

03 / Govern

Design and manage the guardrails.

Policies, review gates, escalation paths — written as product, not policy. Tested against how AI systems and people actually behave under pressure.

→ Gate & review design
→ Tabletop & red-team exercises
→ EU AI Act / ISO 42001 alignment

§ 03 - On the road

Taking Ainodis on the road.

2026 · May Designing AI governance for the work people actually do Stockholm ↗
2026 · Feb Beyond policy: observation as a governance discipline Brussels ↗
2025 · Nov Why most AI pilots stall - and what governance has to do with it Amsterdam ↗
2025 · Sep Governance that survives contact with reality London ↗

Sébastien Fabre speaking at a conference

Most AI policies I’ve read describe a company that doesn’t exist. AINODIS starts from the one that does.
Head of Risk, European financial services group

Governance is as much about collaboration as about guidelines. AINODIS helps drive both angles.
Risk & Compliance Officer, European leading SaaS

§ 04 - The framework

Observe · Map · Govern. Read the working paper.

A 28-page working paper: the premise, the three moves, the failure modes to watch for, and the artefacts produced at each stage. Free to read. Cite it if it's useful.

# ainodis/framework.yaml
premise: "Governance follows observation, not precedes it."
───────────────────────────────────────────────
moves:
  - id: 01
    name: observe
    artefact: field-notes.md
  - id: 02
    name: map
    artefact: risk-surface.svg
  - id: 03
    name: govern
    artefact: operating-model.pdf
───────────────────────────────────────────────
anti-patterns:
  - "Policy without fieldwork"
  - "Governance as marketing"
  - "Owning the risk register, not the risk"

§ 05 - Early engagement

Early engagement
with AINODIS.

The AINODIS application is running strong. Join us in the next round of early adopters and beta testing in August 2026 - and help shape the future of AI governance by design.

→ Access the full Ainodis platform as a beta tester
→ Direct input into feature development & roadmap
→ Priority onboarding with the founding team
→ Framework paper and workshop materials included

Or write directly — hello@ainodis.com