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AI Strategy & Readiness Assessment
Know exactly where AI will save or make your company money — before you spend anything on a build. A clear, practical plan with a data audit, an ROI-backed business case for every recommended task, and a step-by-step roadmap. Priced upfront, from €4,000. Delivered in 4–8 weeks.
You know AI can help. The hard part is knowing where to start.
Most decision-makers don't need convincing anymore — they know AI can save their company money. What's missing is the starting point: which tasks should AI take over first? Is your data good enough for it to work with? What will it cost, what will it return, and how will you know it's working?
Without those answers, companies buy AI tools or run small pilots and quietly spend time and money without results. According to Deloitte, only about a quarter of organizations have moved at least 40% of their AI experiments into production¹ — and only 42% consider their strategy genuinely ready for broader AI deployment.²
The difference between experimenting with AI and getting results from it is a plan. That's what this assessment produces.
¹ Deloitte, "State of AI in the Enterprise 2026": roughly 25% of organizations have moved at least 40% of their AI experiments into production.
² Deloitte, "State of AI in the Enterprise 2026": 42% of companies rate their strategy as highly ready for broad AI deployment (survey of 3,235 leaders across 24 countries, Aug–Sep 2025).
Why this matters in 2026
- —CEOs and board members want numbers, not pilots. They no longer want to hear "we're testing it." They want to see savings or new revenue.
- —The EU AI Act is in force — and GDPR still applies. Rules for using AI now exist, with more taking effect over the next two years, and AI systems that touch personal data must hold up under GDPR too. Deploy without accounting for either and you build up problems for later.
- —The gap is compounding. Companies that moved AI into production are already banking the savings. Every quarter of "still evaluating" makes the gap more expensive to close.
What we examine
We get to know how your company actually works — then hand you a plan. Five things go under the microscope:
Your day-to-day work.
We talk to the right people in the departments we cover — online or in person — and find where time and money leak: the slow, repetitive, error-prone work.
Your ability to adopt AI.
Finding opportunities is one thing; capturing them is another. We look honestly at whether your people's skills, your current tools, and your ways of working can support AI in production — and what needs strengthening first.
Your data.
We verify that the information your company holds is good enough — in quality, structure, and security — for AI to use. This is the most common reason AI projects fail, so we check it first.
The plan and the numbers.
We pick the best opportunities, attach a cost and an expected return to each, put them in the right order, and lay it all out as a clear, step-by-step plan.
Your regulatory exposure (optional).
A high-level check of where each recommended AI task sits under the EU AI Act risk tiers and which GDPR questions it raises. Practical guidance that flags what needs attention — and when it's worth involving your lawyers.
What you get
An AI deployment plan your leadership can act on — a written document where every recommended task comes with a cost, a return, and a payback period. Inside it:
- —A prioritized roadmap — what to do, in what order, with milestones and dependencies, covering 6 to 12 months, depending on scope.
- —A business case for every recommended task — what it costs you today, what AI would do instead, how you'll know it's working (KPIs), deployment cost, running cost, expected return, ROI, and payback period.
- —Data audit — a structured assessment of your data sources (availability, quality, structure, ownership, security/PII, ML-readiness), each with a readiness scorecard and a prioritized fix list.
- —AI Readiness Score — a 0–100 snapshot of where you stand today across five areas: strategy, people & skills, processes, technology & tools, data. Context for the plan — not the point of it.
- —Compliance overview (optional) — each recommended AI task classified under the EU AI Act risk tiers, with the obligations that follow, GDPR impacts, an AI Act deadline calendar, and a prioritized checklist with owners.
- —And when it's done: a 90-minute final workshop with your team — online or in person — walking through everything and handing over the materials.
One assessment, scoped to your company
from €4,000(excl. VAT)
Every assessment delivers a clear AI deployment plan for your company. The scope follows your needs: how many departments we cover, how many data sources we audit, and how many tasks we build a business case for. The price is fixed before work begins.
What's included
- —Interviews with the right people in each department we cover
- —AI Readiness Score (0–100)
- —Data audit of your key data sources
- —A business case for every recommended task, with ROI and payback period
- —A prioritized roadmap covering 6 to 12 months
- —Strategy document (PDF + DOCX + XLSX business cases)
- —90-minute final workshop with your team
- —Optional: EU AI Act and GDPR compliance overview
Delivered in 4–8 weeks
- —For a fixed quote, send a short description to start@aqunama.com — or book a free 30-minute call.
- —One revision round included. Delivery language: English or Czech.
- —Delivery timelines assume prompt cooperation on your side (responses in days, not weeks).
- —Materials and data you share for the audit are processed in the EU, and only to the extent the audit requires; where personal data is involved, a GDPR data processing agreement (DPA) applies.
The plan is written by the people who can build it
Plenty of firms will hand you a thick report and leave the rest to you. Others sell you software and hope you figure it out. We do both ends: we plan and we build. So the plan is written by the same people who can put it into production — which keeps it honest, realistic, and free of recommendations that can't actually be shipped.
- —Fixed price, agreed upfront. You know exactly what you're paying for.
- —Delivered in 4–8 weeks from kick-off. The concrete date is agreed before we start.
- —EU AI Act and GDPR handled in the plan on request, not bolted on afterwards.
- —Your data stays in Europe, processed from Prague.
- —Vendor-agnostic. We build the plan on what makes sense for you and what you already use — Microsoft, Google, or AWS — and never push you onto one platform.
- —Checked from every angle. Business, data, cybersecurity, legal, and finance experience goes into your plan — we bring the relevant background into each project, so no recommendation ships with a blind spot.
- —Built for normal-sized companies, not just large corporations — at a fraction of what the big advisory houses charge.
What this doesn't include
So there are no surprises — the assessment ends with the plan. Separate, separately priced engagements:
- —Implementation — building the recommended solutions
- —The optional launch-ready pilot project
- —Third-party software or AI tool licenses
- —Data cleaning, remediation, and migration
- —Binding legal or tax advice (we flag and recommend; we don't issue binding opinions)
- —Ongoing operations, maintenance, and support after handover
Frequently asked questions
Is this consulting?
What if the assessment finds we're not ready for AI?
How much of our team's time does this take?
Do we have to implement with AQUNAMA afterwards?
What does the assessment cost?
Is our data safe during the audit?
The easiest way to find out what AI means for your company
Book a free 30-minute call. We'll listen, ask a few simple questions, and tell you honestly whether this is worth it for you. No pressure, no jargon.