AI Readiness Audit · EN
See where AI will actually save you money — before you spend a cent on rollout
audytAI is an independent audit for companies. In a few days you get a concrete report: which processes to automate first, what it costs, what it returns, and how to stay compliant with the EU AI Act. No hype, no pushing tools you do not need.
Audit from €700 · free intro call
> what the report gives you:
- > A map of AI-ready processes — prioritised
- > An assessment of risks and data quality for rollout
- > Your status against EU AI Act obligations (Art. 50)
- > Tool recommendations + cost and ROI estimates
- > A check of which work may qualify for funding
Why now
Two facts that affect your company
AI is already in your company — the only question is whether it is under control. And from August 2026, legal obligations come on top of that.
"Shadow AI" — AI out of control
In many companies, staff paste internal data into AI tools without management knowing. That is a real risk of data leaks and bad decisions. The audit shows where it happens and how to set safe rules — instead of banning it and pretending the problem does not exist.
EU AI Act — obligations from 2 August 2026
Transparency rules take effect (Art. 50): labelling AI-generated content, disclosing that a user is talking to a chatbot, disclosing deepfakes. These are real obligations — the audit checks whether you meet them, without scaremongering about penalties.
Audit scope
Specifics instead of a slide deck about trends
The audit ends with a document you can act on — whether you roll out yourself or have it delivered for you.
Inventory of AI usage
Where AI is already used in your company (including "in the shadows", without management knowing), what data goes into it, and where the real risk sits.
Map of processes to automate
A list of processes ranked by benefit-to-cost — what to automate first and what to leave to people.
EU AI Act compliance (Art. 50)
A check of the transparency obligations taking effect on 2 August 2026: labelling AI content, disclosing chatbots and deepfakes.
A report with numbers and a plan
A concrete document: recommendations, rollout cost estimates, expected return, and a roadmap for next steps — not generalities.
Who it is for
How it works
Five steps, no surprises
A transparent process: you know what happens at each stage and when you get the report.
Intro call
Free, ~30 min. We get to know your processes, tools and goal. Afterwards you know whether an audit makes sense for you.
Data gathering
A short interview with your team and a review of your tools. No disruption to day-to-day work — we work with what you already have.
Analysis and assessment
We map processes, risks and data quality. We check your AI Act compliance status and automation potential.
Report + recommendations
You get a document with priorities, costs and a rollout roadmap. We walk through it on a call — questions answered as we go.
Decision on rollout
You implement it yourself from the roadmap, or have it delivered. The audit is independent — it does not force further work.
What the result looks like
Report excerpt (sample)
This is how a single recommendation looks in the report. Illustrative example — no real client data.
Automating the cost-invoice workflow
- Current state
- Manually re-keying ~120 invoices/month into the system, ~10 h of work.
- Recommendation
- Reading invoice data (OCR + AI) and writing to the system with a human check.
- Estimated cost
- rollout €1,000–1,800 + low monthly cost
- Estimated return
- ~8 h/month recovered, fewer errors
The numbers are illustrative and only show the format. In a real report they come from your processes.
Pricing
Two packages — pick by company size
Starting prices; the final quote depends on the number of processes and people. After the intro call you know the exact amount.
Audit Lite
A quick review for a small company
from €700
- Call + interview with 1–2 people
- A map of 3–5 AI-ready processes
- A short AI Act status (Art. 50)
- A report with priorities (1 meeting)
Audit Pro
Most chosenFull readiness assessment and rollout roadmap
from €1,400
- Full team interview and tool review
- A map of all processes + risks and data
- Full AI Act compliance assessment
- Cost and ROI estimate and rollout roadmap
- Check for funding eligibility
What happens after the audit? If you decide to roll out, delivery (RAG chatbots, n8n automations, maintenance) is handled by the managerAI team. The audit is independent, though — you do not have to use our delivery.
Book an audit, or start with a call
Leave your details — we will get back to you within one business day to arrange a free call (~30 min). No commitment. Afterwards you know whether an audit makes sense for you and exactly what it costs.
- Reply within 1 business day
- No commitment after the call
- Independent audit — no hard selling
Want to assess compliance yourself first? Download the free AI Act checklist →
FAQ
Frequently asked questions
How long does the audit take and what do I need to prepare?
Lite usually 3–5 business days, Pro up to two weeks — depending on company size. From your side we need a short interview and access to information about your tools. No need to halt day-to-day operations.
Do I have to order a rollout after the audit?
No. The audit is independent — you get a report and a roadmap, and the decision is yours. You can implement the recommendations yourself, with another vendor, or have us (the managerAI team) deliver it.
What is the AI Act obligation from August 2026?
From 2 August 2026, transparency rules apply (Art. 50): AI-generated content must be labelled, users must know they are talking to a chatbot, and deepfake material must be disclosed. The audit checks whether your company meets these obligations.
Can the audit be funded by a grant?
In some cases advisory work is covered by support programmes (e.g. EU funds). The scope and level of reimbursement depend on the specific call and your situation — in the report we flag which elements may qualify. We do not promise a guaranteed level of funding.
Is my data safe?
Yes. We work under confidentiality, do not take sensitive data outside the agreed scope, and our recommendations apply the "human in the loop" principle (human control over AI decisions).