Skip to main content
Home: Florian Bruniaux Engineering & AI

Florian Bruniaux / Explore

Search the site

Search in English or French, or jump to a section.

↑ ↓ to navigateEnter to openEsc to close

EN
Colour theme
Contact
My services

AI audit and roadmap

Find where work gets stuck, what is worth funding and which decisions your teams need to make first.

Discuss an audit

How the work runs

A roadmap grounded in how your team works

We start with a decision you need to make and a real request. I follow it with the people who handle it and cross-check their observations against the repositories, CI and available traces.

  1. Set the scope

    Choose the decisions, systems and user journeys to examine. Agree on access and boundaries.

    Example We follow a bug fix from report to release in one repository, using read-only access.

  2. Map the work

    Compare repositories, documentation and operational data with how the team actually works.

    Example We compare the workflow in the wiki with the tickets, pull requests and approvals the team actually uses.

  3. Verify findings

    Try the checklist on a sample. Agents help gather evidence. I verify findings against sources or repeatable tests and flag what remains uncertain.

    Example We rerun a check on a sample change to see whether it catches the defect it is meant to block.

  4. Set priorities

    Connect each risk to its impact and decide which actions to take first.

    Example roadmap item

    Owner
    Tech lead
    First trial
    Test an approval workflow in 1 repository.
    Baseline
    Current time to an accepted change, including review and rework.
    Decision
    Continue if lead time drops and review still catches the expected defects.
  5. Hand over

    Give leadership the summary and roadmap. Give the team the evidence and steps to reproduce the findings.

    Example Leadership gets the roadmap. The team gets the repository, revision and steps needed to rerun the check.

What you receive at handover

For leadership
An audit report and a roadmap prioritised by impact and effort, with the rationale for the first trial.
For the team
Notes for each repository with the sources, the branch and revision reviewed, and the steps to rerun the checks.

What your team will be able to do on its own

Trace a finding to the right revision, rerun the documented check and verify whether the fix resolves the problem.

If the audit Brain is in scope, the team can use an assistant to query the findings and retrieve the evidence and steps to rerun the checks.

AI instructions on an unmerged branch

During a follow-up audit, AI instructions appeared to have disappeared after a migration. Restoring them could have become a priority.

Signal
The file used in the previous assessment is missing from the default branch.
Git evidence
Git history shows the file lived on a branch that was never merged into the default branch.

Whether the instructions were used in practice remains to be checked.

Decision
Revisit the regression finding and set priorities based on the configuration in place.
Discuss an audit

What we can work on

Independent technical audit

I inspect architecture, code, security, agent environments and actual practices. I separate observations from unknowns.

Deliverable

An evidence-based assessment and a prioritised remediation plan.

Processes & bottlenecks

I follow work from request to delivery, with the people doing it, to identify queues, rework and handover gaps.

Deliverable

A map of the bottlenecks and changes to test first.

Vision & AI roadmap

I align business goals, use cases and constraints with leadership and teams.

Deliverable

A prioritised roadmap, decision criteria and clear ownership.

Two decisions for teams using coding agents

Assess the coding-agent budget

I compare subscriptions, API usage and infrastructure for your workloads. We agree how to count accepted work and which costs to include, such as retries and review time.

Deliverable
A cost model with its assumptions, investment options and a plan to track cost per accepted task.

Review agent governance

I examine who can authorise a tool or data access, which actions require human approval and who verifies the result. We review the rules against examples of how teams actually work.

Deliverable
A map of responsibilities and approval points, with gaps to address first.

Read the enterprise AI governance guide

Frequently asked questions

How can we use the Brain after the audit?

If the Brain is in scope, your team can look up the evidence behind a finding and the reasoning behind a recommendation when picking up the work.

How can we verify a finding after handover?

The team gets the evidence and steps to reproduce the finding. The handover separates what we verified from what still needs checking.

Discuss an audit