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AI audit

An AI audit for your company – where to start implementation

The costliest mistake in an AI rollout is starting with the wrong process: buying a tool that looks great in a presentation and changes nothing in daily work. An AI audit reverses the order. First we check how your company really works, where time leaks away and what data you have at hand – only then do we decide what to implement, and in what order.

How implementation works

Audit scope

What we check during a process audit

A process audit for AI is not a survey about "digital readiness". It's a review of specific tasks, systems and data that produces a to-do list.

Process map

Where inquiries and documents come from, who handles them, how long it takes and where cases wait. We look for repetitive tasks, done many times a day according to similar rules.

Data and knowledge

Price lists, terms, instructions, order and correspondence history. We check what is written down, what is up to date and what lives only in employees' heads – because the time and cost of implementation depend on it.

Systems and integrations

CRM, calendar, accounting and warehouse systems, phone exchange, email inboxes. We assess which have an API, which can be connected another way and where an integration would be too fragile to rely on.

GDPR and AI Act

What personal data will reach the model, whether a data processing agreement is needed, whether data may leave the company. We also check obligations under the AI Act – more in the article AI Act in Poland.

Risks

Where an AI error would be costly, which decisions must stay with a person, what happens when the system fails. This defines the handoff points to the team and the scope of automation.

Use cases ranked by payback

We rate every idea on two counts: how much time or money the company gets back and how much work the implementation takes. The ones with the fastest payback for the least effort land at the top of the list.

Outcome

What you get after the audit

The audit ends with a document you can work with – with us or without us. An AI strategy for a small company doesn't need a hundred pages; it needs to answer what to do first.

01

Report

  • Description of processes and bottlenecks
  • State of data and systems
  • Findings from the GDPR and AI Act review
02

Priorities

  • 3–5 processes with the fastest payback
  • Savings estimate in hours and PLN
  • What not to do yet, and why
03

Plan and pricing

  • Order of rollouts and schedule
  • Choice of package and solutions
  • Fixed subscription price
04

Grant path

  • Assessment of whether the company qualifies
  • Which costs may be reimbursed
  • Help with the technical part of the application

How it works

How an AI audit works

An audit takes from a few days to two weeks – depending on the size of the company and the number of systems.

  1. 01
    Consultation

    A free online call, 30 minutes. You tell us how the company works and what bothers you most today. Right after it you know in which areas AI makes sense, and we agree on the scope and price of the full audit.

  2. 02
    Interviews and data

    We talk to the people who run the processes day to day and look at sample documents, emails and system screens. We learn the most from customer service staff, not from company documentation.

  3. 03
    Analysis

    We rate use cases by payback and effort, check integrations, compliance with GDPR and the AI Act, and grant eligibility. We discard ideas that have no justification.

  4. 04
    Implementation plan

    We go through the report, priorities and pricing. If you decide to implement with us, the first working version is ready within 7–14 days of the start of work.

Who it's for

Who an AI audit helps the most

We work mainly with SMEs – from offices of a few people to companies with up to 249 employees.

01

You don't know where to start

  • You hear about AI but don't see a use for it at your company
  • Vendor offers are hard to compare
  • You want a decision based on numbers
02

Your team is drowning in routine

  • The same questions, emails and documents every day
  • Manual retyping of data between systems
  • After-hours inquiries get lost
03

You're planning a grant

  • You want to fund the implementation with public support
  • You need a technical description of the project
  • Details: PARP grants for AI
04

You work with sensitive data

  • Law firm, healthcare, finance
  • You need to know where the data goes
  • You're considering a local LLM

FAQ

AI audit – questions

How much does an AI audit cost?

The first consultation is free. After it we set the scope of the full audit and give you its price – it depends on the size of the company, the number of processes and the systems to review. We don't quote one "list price", because auditing a ten-person office and a company with several branches are different jobs.

How long does the audit take?

From a few days to two weeks, depending on the size of the company. What usually takes longest is collecting sample documents and talking to employees – the sooner we get access to the materials, the sooner the report is ready.

Do I have to implement with Axisway after the audit?

No. The report and the priority list are yours – you can implement them with us, with another vendor or on your own. If you choose us, the audit findings flow straight into the project and pricing, and the person who led the audit stays on for the implementation.

Does the audit cover GDPR and the AI Act?

Yes, as far as the planned AI use cases are concerned: what data will reach the model, where it is processed, what information and documentation obligations arise from the AI Act. It doesn't replace legal advice, but it shows which issues need to be settled before launch.

Will the audit help me get a PARP grant?

Yes. We check whether the company qualifies and prepare a technical description of the planned implementation, which is needed in the application. The grant can cover up to 75% of costs – the level of support depends on the call, the size of the company and the voivodeship.

What if the audit shows AI doesn't pay off?

Then we'll say so. With low volume or a process that isn't settled yet, a better move is often to tidy up the work or use simpler process automation without AI models. That answer is also part of the audit's value.

Let's start with a conversation

Find out where AI makes sense in your company

Free online consultation, 30 minutes. After the call you know which processes are worth reviewing, how big the audit should be and what it will cost. No obligations.