Know what AI can do for your business before you spend serious money.
A practical readiness audit for companies exploring AI, stuck in pilot mode, recovering from vendor promises, or facing compliance pressure. Two to four weeks. You decide what happens next.
30-min call. No pitch. You leave with one concrete next step - even if it’s not us.
What you get
- ✓Clear readiness score
- ✓Actionable 30/60/90 roadmap
- ✓Risk & compliance flags
2-4 week engagement
You're experiencing any of these:
These are real situations we hear every week. If one sounds like where you are, this audit is the right starting point.
We look at the whole system, not just the AI tool.
An AI audit replaces incomplete information with a complete picture. Two to four weeks of structured analysis across six dimensions - from business fit through production reality. You walk away knowing what is possible, what is risky, what needs to be fixed first, and what should not be built at all.
Business fit
The problem, workflow, owner, expected value, and whether AI is actually the right tool for it.
Data readiness
Source systems, quality, access, privacy, ownership, and what needs to be cleaned before anything works reliably.
Production path
Architecture, integration complexity, monitoring, fallback, and what it takes to run this in the real world.
Team capability
Internal skills, ownership gaps, vendor dependency, and what you need to sustain it after we leave.
Compliance exposure
GDPR impact, EU AI Act classification, vendor risk, and documentation you’ll need either way.
Investment shape
Whether this is a contained project, foundation work that needs more investment, or something you shouldn’t build at all.
We diagnose before we prescribe.
Most AI projects fail before a single line of code is written - because someone jumped to building before understanding the problem. We don’t.
We'll tell you if AI isn't the answer.
About 30% of the projects we see shouldn’t use AI at all. We’ll tell you. Most vendors won’t - they sell AI regardless of fit.
Compliance from day one, not an afterthought.
EU AI Act and GDPR affect what you can build, not just how you deploy. We surface this before you commit to a solution, not after.
A roadmap, not a report.
The output isn’t a PDF you file away. It’s a prioritised action plan with specific next steps, timelines, and investment estimates you can execute on.
Real example. Real constraints. Real outcome.
Situation
A Series A fintech company wanted AI-powered fraud detection. Three vendors quoted €200K+. The CEO wasn’t sure any of them actually solved the problem.
Constraints
Transaction data across 5 systems with no unified schema. GDPR requirements. Team of 12 engineers with no ML experience. Needed progress within 60 days for investors.
What we changed
3-week audit instead of a build. Mapped the data landscape. Found 3 systems with data quality issues that would break any model. Recommended: fix the data first, deploy a rules-based system for immediate coverage, then train models once clean data was flowing.
Outcomes
- ✓Avoided €200K+ commitment to a solution that would have failed on dirty data
- ✓Rules-based system deployed in 6 weeks - fraud detection improved 40%
- ✓Clean data pipeline built for future ML training
How this works
Readiness Call
Day 1We understand your situation, constraints, goals, and current AI questions. You tell us what’s actually happening. We ask questions. No pitch.
Deep Dive
Week 1-2We review workflows, systems, data sources, risks, and production constraints. We talk to your team, review your architecture, and look at what’s actually going on under the hood.
Analysis
Week 3We synthesise everything into a clear picture: what’s feasible, what’s risky, what needs fixing first, and what your real options are.
Delivery
Week 4You receive a written audit with findings, risk register, feasibility matrix, and a prioritised 30/60/90-day roadmap. We walk through it together.
Clarity before commitment.
- ✓ AI readiness score - where you stand today across all six dimensions
- ✓ Use case feasibility matrix - which ideas are worth pursuing, which aren’t
- ✓ Workflow and bottleneck map - where AI could actually move the needle
- ✓ Data readiness summary - what’s usable, what needs work, what’s missing
- ✓ Risk register - compliance, security, production, and team risks identified
- ✓ Build-vs-buy vs don’t-build recommendation - specific to your situation
- ✓ 30/60/90-day roadmap - clear next steps with timelines and investment estimates
Duration: 2-4 weeks. Output is documentation your team owns, not a slide deck that dies in a shared drive.
This audit is NOT the right fit if:
We don’t work with everyone. If any of these describe you, a different service - or a different provider - will serve you better.
You’ve already decided on a solution and just need someone to build it.
→ Go to AI Build instead.
Your data is clean, your use case is clear, and you’re ready to start building next week.
→ You’re past audit stage - AI Build is the right fit.
You need ongoing leadership, not a one-time assessment.
→ Fractional CTO is a better fit for ongoing engagements.
You’re looking for a compliance-only checkbox exercise without engineering substance.
→ We don’t do compliance theatre - a legal firm may be a better fit for that.
Not sure? Book a free 30-min call. We’ll tell you honestly which service fits - even if it’s none of them.
Start with clarity.
30 minutes. We listen, we tell you what we see, and you leave with one concrete next step - even if it’s not us. No follow-up sequence. No hidden agenda. Just a real answer.
Book an AI Readiness Call