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Service · AI Strategy & Governance New

From AI ambition to a roadmap your board can govern.

We translate AI hype into a vendor-neutral strategy, prioritised use-cases and a governance frame that holds up against the EU AI Act , not a slide deck full of demos.

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01 / Why now

AI without governance is a liability, not a strategy.

We start where most vendors don’t want to: ownership, risk classification, and the use-cases that genuinely move the needle.

  • Your business asks for AI, but no one owns the strategy.
  • Pilots are everywhere, value is nowhere.
  • The EU AI Act is landing and you can’t evidence which systems fall in scope.
  • Vendors keep selling you their AI; you need someone who isn’t selling theirs.
  • Data, security and IT each have a partial answer, never the whole one.

02 / The Xedis AI maturity ladder

From AI experimentation to structured AI governance.

Most organisations are still between AI experimentation and structured AI governance. Xedis helps them move forward step by step: from scattered use-cases and informal guidelines to clear ownership, risk assessment, decision-making, data governance and monitoring.

We start with a realistic view of today’s maturity and define the next achievable step. No leapfrogging. No vague AI governance promises. Just practical controls and responsible adoption that can actually be implemented.

  1. Level 00

    Curious

    Scattered experiments. No ownership. No policy.

  2. Level 01

    Aware

    AI policy in draft. Use-cases listed. Risk register opened.

  3. Level 02

    Governed

    AI Act mapping done. Roles, controls and intake process live.

  4. Level 03

    Scaling

    Prioritised portfolio of use-cases delivering measurable value.

  5. Level 04

    Embedded

    AI is a capability of the operating model, not a side project.

03 / Our approach

Four moves. From workshop to governable roadmap.

01 · Discover

Where you really are.

  • AI maturity assessment across strategy, data, governance & adoption
  • Inventory of existing AI use, shadow AI included
  • Stakeholder interviews, business, IT, data, legal, security
02 · Strategy

What’s worth doing.

  • Use-case discovery & prioritisation (value vs. feasibility vs. risk)
  • Build / buy / partner decisions per use-case
  • Vendor-neutral target architecture
03 · Govern

How you stay in control.

  • EU AI Act risk classification per system
  • AI policy, intake & review board, model lifecycle controls
  • Alignment with NIS2, DORA and ISO 27001
04 · Execute

How it lands.

  • Prioritized roadmap with owners, milestones and benefits
  • Senior delivery support, program, OCM, vendor management
  • Measurable outcomes wired into portfolio reporting

04 / What you get

A strategy you can defend in the boardroom, and the audit room.

Prioritized

Use-case portfolio scored on value, feasibility & risk

AI Act-ready

Risk classification & control evidence per system

Vendor-neutral

Architecture and tooling decisions taken on outcomes

Governable

Intake, review board and lifecycle controls in motion

05 / Related expertise

AI strategy lives at the intersection of strategy, governance and change.

Real engagements where the same disciplines underpin responsible AI adoption.

VABAI strategy & governance

VAB

Shaping AI strategy and governance from the ground up.

VAB needed a vendor-neutral view on where AI could responsibly add value, who owns it, and how it gets governed across the business. No demo-driven shortcuts, a real foundation.

What we didMapped current AI use and shadow AI, ran use-case discovery and prioritisation against value, feasibility and risk, and set up the governance frame (ownership, intake, risk classification) aligned with the EU AI Act.
Outcomea vendor-neutral AI strategy and governance foundation VAB can build on responsibly. Engagement ongoing under NDA.
AMMA Verzekeringen logoProcess & strategy mapping

AMMA Verzekeringen

Mapping processes and strategy as the basis for governable change.

AMMA had to reach DORA compliance against a hard regulatory deadline. Before any controls or roadmap could land, the processes, decisions and ownership had to be made explicit, the same groundwork any serious AI governance program needs.

What we didMapped the in-scope processes, ran the gap analysis against DORA, translated findings into a prioritised remediation plan and stood up the delivery rhythm and steerco governance to actually ship it.
Outcomeregulatory pressure turned into shipped, prioritised change — the same groundwork any governable AI programme needs.

A two-day AI strategy workshop. No demo. No vendor pitch.

We spend two days with you and your team, mapping where you are on the maturity ladder and building the next achievable step. No shortcuts.

Book the workshop