iA Deployment

Defining your company's AI governance

Your teams need to know which tools to use, with which data, and under what responsibility. Governance transforms these questions into understandable rules and decisions that are monitored over time.

Many leaders confuse launching a project with governing AI. A roadmap prevents things from going off in all directions; governance prevents them from doing so without rules. The two go hand in hand.

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Part 1 - Setting the Course: The iA Roadmap

A brief overview

Current practices, often based on the iA Diagnostics.

Prioritizing use cases

Based on their impact and ease of implementation.

A realistic timetable

Over 6 to 18 months, with verifiable milestones.

A budget estimate

Including training, tools and, where applicable, custom development (Development of iA Agents (if a use case requires it).

Part 2 - Setting the rules: governance, GDPR and AI Act

An internal policy on the use of AI

Written and approved by your management, not a generic document downloaded online.

An AI Act classification

Based on your use cases and their actual risk level.

A complete GDPR overview

Regarding data processing involvinggenerative AI.

A review of iA supplier contracts

Regarding the data processing clauses.

How does the support process work?

An initial consultation to understand your business challenges, not just technological ones.
An analysis of use cases and an audit of existing tools.
The delivery of a prioritized roadmap and the drafting or revision of your internal AI usage policy.
Support for gradual compliance, prioritized according to risk. Implementation then via From the pilot to the user.

What you take home with

A prioritized roadmap document, including timeline and budget.
An internal policy for the use of AI, ready for dissemination.
A risk mapping of your use cases and a prioritized GDPR compliance plan.

For whom

Companies with a profile Practitioner Or Pilot of Diagnostic iA, who want to structure the rest.

Leaders who want a budget and a timeline before getting started.

Legal and IT departments that need to secure a company-wide deployment.

Sectors subject to strict regulatory requirements regarding data.

"A roadmap that doesn't fit on three pages is a consultant's report that gets filed away in a drawer. And governance needs to be revised as practices evolve: it's not something that can be addressed once and for all."

- Matthieu Valin, founder of eloRezo. AI trainer and speaker.

Frequently asked questions

What is eloRezo's "Organizing your AI Governance" support?

In this support, eloRezo brings together the AI roadmap (priorities, schedule, budget) and the governance framework (internal policy, AI Act classification, GDPR compliance), to set the course and establish the rules for an AI deployment.

What is an AI roadmap at eloRezo?

At eloRezo, an AI roadmap prioritizes use cases, proposes a 6 to 18 month schedule and a budget estimate, to transform an intention into a managed project.

Does eloRezo help to classify use cases according to the AI Act?

Yes, eloRezo performs a classification of a company's AI use cases according to their level of risk as defined by the AI Act.

Does this support include drafting an internal policy on the use of AI?

Yes, eloRezo assists in the drafting or revision of an internal AI usage policy, validated by company management.

What is the difference between this governance and AI security training at eloRezo?

eloRezo distinguishes between the two: the training "Securing your uses of AI" changes individual reflexes, while this governance sets the rules at the level of the entire company.

Is it necessary to have completed the AI Diagnostic before organizing governance at eloRezo?

It's not mandatory, but eloRezo relies on the iA Diagnostics when it has already been carried out, to speed up the initial assessment.

Who supports AI governance at eloRezo?

This support is provided by Matthieu Valin, founder of eloRezo, AI trainer and speaker.

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