AI audit and advisory
Fifteen days with your IT team and your business lines to understand where you stand and draw up a clear roadmap for AI. We identify automation opportunities along the way.
15-day audit · IT and business lines · roadmap
- Format
- Fifteen days of interviews with IT and each business line involved
- Who is involved
- Your IT team and the heads of the business lines involved
- What you leave with
- A current-state review, use cases ranked by value and effort, and a roadmap
- What comes next
- Governance or a proof of concept
Who the AI audit is for
The AI audit and advisory suits organizations that sense AI is already present, in departments and in conversations, but do not know where to start or what to fund first.
- AI initiatives exist in several departments, and nobody has an overview of them.
- Your leadership wants a roadmap before setting a budget, but the material to write one is not there yet.
- Teams already use consumer AI tools with no framework and no guidance on what data goes into them.
- Automation needs have been spotted in the business lines, but no ranking lets you compare them.
How the audit runs, in five steps
- Scoping: objectives, perimeter, IT and business contacts.
- Interviews: with IT and each business line involved (processes, pain points, tools, data).
- Current state: what is in place, what blocks you, and your maturity level.
- Automation opportunities: use cases identified and ranked by value and by effort.
- Roadmap: steps, order, and governance and data prerequisites.
An AI roadmap built with IT and the business lines
IT knows the systems, the security constraints and what is already in place. The business lines know which tasks eat up time, where the daily friction is and which decisions are waiting on information. An audit run with IT alone tends to read like a tool inventory; run with the business lines alone, it produces a wish list. We meet both, on the same topics, so the current-state review is recognized by the people who will have to act on it.
Each use case we find is ranked by expected value and by the effort to deliver it, which separates quick wins from heavy projects. The roadmap that results is more than a list of projects. It states what has to be settled first: governance, data preparation and the hosting choice, with Québec as the default. You can then budget in the order the work has to happen.
What you get
A shared current-state review
A description of processes, tools, data and maturity as IT and each business line give it, with the points that block progress named.
Ranked use cases
Each automation opportunity we find is assessed for its value and for the effort it requires. You see what can start quickly and what needs groundwork first.
An ordered roadmap
The steps are placed in sequence, with the governance, data and hosting prerequisites that come before them. It becomes the basis for your budget and your priorities.
What to do after the AI audit
The fifteen-day audit ends with a roadmap that tells you where to begin. When usage rules are missing, governance workshops set the framework before any rollout. When a use case looks promising but uncertain, a proof of concept puts it to the test on your own data before you commit a budget.
Frequently asked questions
Who needs to be available during the 15-day audit?
Your IT leads, plus one contact per business line involved for the interviews. Scoping, the first step, settles the list of people to meet.
Do we need an AI project before asking for an audit?
No. The audit exists to find where AI belongs. If you already have use case ideas, they go into the ranking by value and effort alongside the ones the interviews bring up.
What happens to the roadmap after the audit?
It sets out the steps, their order and the governance and data prerequisites. Depending on what it shows, you move on to governance, to data or to a proof of concept; the order depends on your situation.
Does the audit take into account the AI tools our teams already use?
Yes. The interviews list the tools in place in each business line, including consumer AI tools that employees adopted on their own. That list feeds the current-state review and shows whether governance should come ahead of the rest of the roadmap.