Pillar 1 · Advise & Discover · 1.2

AI operating modelOne set of rules to scale AI across the group

About 12 weeks with your leaders. One operating framework for the group or one center: decision rights, risk tiers, one front door, KPIs.

Bring us one problem

IAC.ai: One set of rules to scale AI across the group

The offer at a glance

About 12 weeks with your leaders. Phase 1 adapts our reference framework to your group and plans its rollout. Phase 2 makes it live, if you say go.

IAC.ai: One client, one journey: from discovery to a technology center

The value

No more pilots that never scale.

One owner, one set of rules and one front door for every AI initiative, in every unit and country.

IAC.ai: IAC AI Enablement Reference Framework

What you get

Six deliverables

Operating model and decision rights: Center of Excellence or federated
Risk tiers and controls, EU AI Act ready
One intake, scoring and stage gates for every use case
KPIs and value tracking, from pilot to P&L
Roles, skills and sourcing plan
A 12-month roadmap your board can approve

IAC.ai: 90 days of 360 Discovery: an AI roadmap ready to fund

For one center

The same framework, about 8 weeks

Applied to one AI or technology center, with five workstreams. You decide what runs in-house.
CS 01: the technology center design, after 360 Discovery.

One owner, one set of rules, one front door for every AI initiative.

From reference framework to live operation

Phase 1 adapts our framework to your group and plans its rollout. Phase 2 makes it live, if you say go.

Phase 1 · Design and plan · about 12 weeksYour ExCom go / no-goPhase 2 · If you say go

1 · Reference frameworkOur starting point
A tested reference with nine modules across direction, enablers and the use-case lifecycle. Not a blank page.
Role: the input we adapt with you.
2 · Your frameworkAdapted to your group
The reference fitted to your organization, countries, systems and priorities. It defines how your AI operating model works and runs.
Phase 1 output, with the rollout plan: five workstreams, owners, sequence.
3 · Operational frameworkLive in your group
Five implementation workstreams put your framework into daily use: governance, delivery, platforms and people, with measured value.
They implement it. They do not redesign it.

In detail

How it works, page by page.

The reference framework

IAC AI Enablement Reference Framework: nine modules, adapted to your scope.

FoundationSet direction and guardrails

1Strategy & Value

AI priorities, portfolio, funding and value method

2Governance & Operating Model

Forums, decision rights, Center of Excellence or federated model, group and local roles

3Risk, Security & Compliance

Risk tiers, control categories, privacy, security and AI Act

EnablersBuild the right capabilities

4Data Foundation

Ownership, quality, access and platform readiness

5Technology, Architecture & Engineering

Reference architecture, model and platform strategy, build, buy or reuse, integration

6People, Skills & Sourcing

Roles, skills, AI literacy, capacity and sourcing

LifecycleDeliver, run and scale value

7Discover & Decide

Intake, qualification, prioritization and approval. Steps 1 and 2.

8Build & Go Live

Engineering and testing standards, deployment, model and agent operations, monitoring. Steps 3 and 4.

9Run & Improve

Adoption, reuse across countries, scaling and realized value. Step 5.

Group and countryGroup standards with local ownership, and reuse between countries.

Continuous improvementFeedback, insights and learning inform the next decisions.

Change & communicationChampions, communication and change support across every module.

Phase 1 reviews this reference against your agreed scope and evolves it where material gaps are found. Modules 7 to 9 follow the same five steps as every use case.

For one center

Your AI or technology center, ready to run

The framework applied to one center: about 8 weeks, five workstreams.

Governance & risk: decision rights and guardrails, a governance playbook.
Pipeline & value: a front door for ideas, stage gates, a lean KPI model.
Enablement & change: training, certification and reporting.
Build & scale engine: who does what, in-house or partner.
Data & platform: architecture blueprint, data and AI governance.

IAC.ai: We advise you all the way, even when we build or run

Making the case

We build the case with you

Every AI decision needs a case. Wherever you are. Making the case is not only for pillar 1: whatever you buy from us, we help you justify it, at every gate.

Most asked at step 1, Discover, and step 2, Decide.
Use cases ranked on value and effort.
Business cases on your baseline.
A roadmap ready to fund.
One investment decision, yours.
The same five angles in every pillar: value & ROI, risk & compliance, technology choice, ownership & control, people & adoption.

Making the case, step by step →