AI Audit for Businesses: Where to Apply It With ROI, What It Costs and in What Order

An AI audit is a diagnostic that evaluates where your company can apply artificial intelligence with real returns. It inventories your systems and data, prioritizes opportunities by ROI, assesses the maturity of your stack and team, and delivers a 6-12 month implementation roadmap with cost estimates. In short: it tells you what's worth it, what it costs and in what order.

Six deliverables: (1) a systems and data inventory, (2) a scorecard of ROI-prioritized opportunities, (3) a stack and team assessment, (4) a 6-12 month implementation roadmap with cost estimates, (5) a note on risks and exposure to the EU AI Act, and (6) an executive presentation session. In the mid-sized company package, the stack and the risks are analyzed in depth. All delivered in 2-3 weeks.

The entry package ranges from €3,000 to €4,500 for small businesses and from €4,500 to €8,000 for mid-sized companies, depending on the number of systems and the state of the data. There's also an audit plus quarterly support option from €1,500/month. These are indicative prices finalized at the kickoff. Almost no one in Spain publishes the price of an AI audit: we do. And for what the project that comes out of the roadmap costs next, see our guide on how much an AI project costs.

Between 2 and 3 weeks from the kickoff. The first week is inventory, the second is analysis and prioritization, and we close with the scorecard, the roadmap and the executive presentation session.

For SMBs and mid-sized companies that want to apply AI with judgment. There's a package for small companies with few systems and another for organizations with several departments and more data. If you're a large company with an already-validated use case, you probably go straight to implementation rather than an audit.

You keep an actionable roadmap and you decide. You can execute it with your team, with us, or a mix of both. The usual move is to start with the first initiative on the scorecard, which is often an enterprise RAG, an AI chatbot or an AI agent. There's no commitment to continue with us: the audit is a fixed product.

The audit is a bounded product, with fixed scope, price and timeline, whose deliverable is the diagnostic and the roadmap. AI consulting is broader, ongoing support in strategy, governance and implementation. Many companies start with the audit to decide with data and then, if they need it, move on to consulting or straight to development.

Sometimes, depending on where you're based. Most EU countries run SME digitalisation programmes that can cover part of an AI advisory project, and the audit deliverables (inventory, scorecard, roadmap) double as the technical file those applications usually ask for; check your national or regional scheme. In Spain, the Kit Consulting AI voucher (Red.es) closed in May 2026, and the diagnostic leaves you ready if a new call opens. If you're a US company there's no equivalent scheme: the case for the audit is the audit itself, knowing what to build, what it costs and in what order before committing development budget.

No special preparation needed. It helps to have a list of your systems and tools handy, to know who understands each process for the interviews, and a sense of where you think the hours go. We build the rest in the inventory. The more access you give us to the real operation, the sharper the roadmap.

The audit is an invoiced professional service, so it's a deductible expense for corporate income tax like any consulting work. It's not a subsidy in itself. As for grants, see the previous question: availability depends on your country's programmes and each call has its own requirements, so confirm them before counting on the aid.