AIAuditforBusinesses:WheretoApplyItWithROI,WhatItCostsandinWhatOrder
A diagnostic with a fixed price and timeline. In 2-3 weeks you will know where AI makes sense in your company, what return to expect, what it costs to implement and in what order to do it. You walk away with an inventory of systems and data, a scorecard of opportunities prioritized by ROI, and a 6-12 month roadmap with cost estimates.
What the AI Audit Includes
Five fronts we cover end to end.
Most AI Projects Die in the Pilot. This One Starts the Other Way Around.
Return first, technology second.
The common mistake is to start with the tool ("let's build a chatbot") and discover too late that there was no business case. The audit reverses the order: first we map where AI saves hours or generates revenue, we quantify it, and only then do we decide what to build. The result is a scorecard prioritized by ROI and a roadmap you can defend to leadership with numbers, not enthusiasm. If you want to go deeper on strategy, the audit connects naturally with our AI consulting.
Executive Summary
For general management and finance.
The question is no longer whether your company will use AI, but where first and with what return. The AI audit answers that with a fixed package: in 2-3 weeks you have an inventory of your systems and data, a scorecard of opportunities ranked by ROI, and a 6-12 month roadmap with estimated cost per initiative. Without committing to a large project before knowing whether it's worth it.
It's the cheapest investment you can make in AI because it avoids the most expensive one: building the wrong project. The starting point costs from €3,000 and comes from the same team that already has 15+ AI agents and more than 30 LLM projects in production. You know what to build, what it costs and in what order before signing off on the first development.
Summary for CTO / Technical Team
What we inspect and what you walk away with.
We review your technical reality without frills: the state and quality of your data, where it lives and how it's accessed; your current stack and its integrations; what can be solved with automation or RPA and what calls for a language model. We assess whether your data is ready for an enterprise RAG and which processes are candidates for an AI agent.
You walk away with cost and timeline estimates per initiative based on real projects, not generic rate cards, and with a clear note on dependencies: what's missing in data, infrastructure or team before you can execute. The roadmap factors in each use case's exposure to the EU AI Act, so you don't build something you later have to redo for compliance.
Is It Right for Your Company?
The AI audit fits when you want to decide with data, not with hype.
Who it's for
- Companies that see potential in AI but don't know where to start or what to prioritize.
- Leadership teams that need a business case with numbers before approving AI investment.
- Teams that have already tried AI pilots that never reached production and want a realistic plan.
- SMBs and mid-sized companies that want their own roadmap, not a canned project.
- Organizations that want to apply AI without running headfirst into the EU AI Act.
Who it's not for
- Those who already have a clear, validated use case: there we go straight to implementation.
- Those looking only for a demo or a motivational talk about AI.
- Projects with no data or digital process to work on.
- Those expecting the audit to implement the solution: the audit diagnoses and plans, it doesn't develop.
The 5 Fronts We Analyze
Each front feeds the final scorecard and roadmap.
Business and Processes
We identify where the hours go and which processes are candidates for AI: support, operations, sales, back office. Each with its volume and current cost, so we can quantify the savings.
Data
We inventory your data: what you have, where, in what format and at what quality. Without accessible data there's no useful AI, so this front defines what's viable now and what needs prior work.
Technical Stack and Integrations
We review your systems and how they connect. We determine what's solved with automation, what with a RAG over your documentation and what requires a custom agent.
Team and Maturity
We assess internal skills and the organization's AI maturity. What you can maintain yourselves and where external support makes sense, including the AI literacy the law now requires.
Risk and Compliance
Each opportunity is also evaluated by its regulatory exposure (EU AI Act) and operational risk, so the roadmap prioritizes what adds value without opening a legal front.
What You Take Away From the Audit
Concrete deliverables, not a generic slide deck.
- Inventory of systems, processes and data sources
- Scorecard of AI opportunities prioritized by ROI and effort
- Stack and team maturity assessment
- 6-12 month implementation roadmap with cost estimates
- Note on risks and EU AI Act exposure
- Executive presentation session with leadership and technical team
- Delivered in 2-3 weeks
Investment
A fixed package based on the size of your company.
Indicative prices. The package is finalized at the kickoff based on the number of systems, the state of the data and the scope. Always less than the cost of building the wrong AI project.
AI Audit for Small Business
For small companies with few systems and a narrow scope.
- Systems and data inventory
- Scorecard of ROI-prioritized opportunities
- 6-12 month implementation roadmap
- Executive presentation session
- Delivered in 2-3 weeks
AI Audit for Mid-Sized Companies
For organizations with several systems, more data and multiple departments involved.
- Everything in the Small Business audit
- In-depth assessment of stack and integrations
- Data quality and governance analysis
- Risk and compliance note (EU AI Act)
- Roadmap by department with cost estimates
Audit + Quarterly Support
The audit plus continuous follow-up on the roadmap and its execution.
- Full initial audit
- Quarterly review of the roadmap and priorities
- Support executing the first initiatives
- Scorecard updates as the market evolves
No lock-in. Quarterly support cancels with 30 days notice.
How We Run the Audit
From kickoff to the executive session in 2-3 weeks.
Kickoff
Initial session with leadership and process owners. We align on business goals, scope the work and finalize the package. We leave with the list of systems, processes and people to interview.
Inventory
We map your processes, systems, integrations and data. Short interviews with key teams and a technical review of the stack. The goal: know what you have and in what state.
Analysis and Prioritization
We cross AI opportunities with available data and implementation effort. We quantify the expected ROI of each use case and discard the ones without it.
Scorecard and Roadmap
We consolidate the ROI-prioritized scorecard and the 6-12 month roadmap with cost estimates, dependencies and risks per initiative.
Executive Session
We present the results to leadership and the technical team, answer questions and agree on the first steps. From here you know exactly what to do and in what order.
Risks the Audit Saves You From
What tends to go wrong when you start without a diagnostic.
Building the wrong AI project
The scorecard prioritizes by ROI before a single line of code. You invest in the use case with returns, not the one that sounded good in a meeting.
Pilots that never reach production
We assess real technical viability (data, stack, team) from the diagnostic. If something isn't ready, the roadmap says so and sequences it, instead of finding out mid-project.
Uncertain cost and budgets that blow up
Every roadmap initiative carries a cost and timeline estimate based on real projects. You know what you're committing to before signing.
Building something that clashes with the EU AI Act
We flag each use case's regulatory exposure. The roadmap is born with the law in mind, so you avoid redoing work for compliance.
We Audit AI Because We Build It Every Day
Kiwop isn't a consultancy that discovered AI last year. We built Nexo, our own platform with AI in production, and we have 15+ AI agents deployed and more than 30 LLM projects since 2023. That's why our cost and timeline estimates don't come from a catalog: they come from having done it. The audit opens the path to implementing with AI agents, enterprise RAG or AI chatbots.
Frequently Asked Questions About the AI Audit
What companies ask before hiring it.
What is an AI audit?
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.
What does Kiwop's AI audit include?
Five 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, and (5) an executive presentation session. All delivered in 2-3 weeks.
How much does an AI audit cost?
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.
How long does the audit take?
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.
What company size is it for?
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.
What happens after the 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.
How is it different from AI consulting?
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.
The Kit Consulting is closed, is the audit still useful?
Yes. Spain's Kit Consulting (Red.es) has been closed since 31 May 2026 with no new call confirmed, so the audit doesn't depend on it: it's an in-house product with a fixed price. That said, if the call reopens, the diagnostic leaves you ready to apply for the AI advisory voucher (in the last edition, between €12,000 and €24,000 depending on company size). We'll let you know if it reopens.
How do I prepare for the audit?
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.
Is the audit tax-deductible or subsidizable?
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, the Kit Consulting (AI advisory) is closed today; if it returns, the audit leaves your file ready. Each call has its own requirements, so confirm them before counting on the aid.
Know Where to Apply AI With ROI Before Spending a Euro on Development
In 2-3 weeks you have the inventory, the prioritized scorecard and the roadmap with costs. Fixed package from €3,000. The cheapest way not to get AI wrong.
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