— SERVICE 01
AI Readiness Audit.
Two weeks of deep diagnosis. The result: a clear answer to the question “is our company ready for AI?”, with a number, with evidence, with a roadmap.
1-2 weeks
PLN 8,500 - 24,000
net, for companies of 50-500 people
The final quote depends on the size of your organization and the project scope.
KFS subsidy up to 80% · PARP up to 70% (Polish public funding), ask about eligibility
— DEFINITION
The AI Readiness Audit is a two-week diagnosis that answers one question: is your company ready to implement AI. We assess processes, data, IT architecture, teams, governance, strategy, the ROI framework and change management, eight areas in total, one hundred points.
What you get after two weeks
- AI Readiness Score report (0-100 points across 8 areas)
- A list of 10-15 priority blockers (with their business cost)
- An AI implementation roadmap (12-24 months, stage by stage)
- A list of 5-10 quick wins (processes ready for AI right away)
- An executive summary for the board (8-12 slides)
- A 60-minute presentation of the findings for C-level
- 30 days of follow-up support (Q&A after the audit)
Eight areas. One hundred points.
01 — Processes
15 ptsAre your key processes documented, with owners and metrics?
02 — Data
20 ptsQuality, availability and governance of operational data.
03 — IT Architecture
10 ptsIntegrations, security and scalability of the infrastructure.
04 — Team
15 ptsSkills, mindset and readiness to work with AI.
05 — Governance
10 ptsDecision-making around AI, risk monitoring, incident response.
06 — Strategy
10 ptsA clear vision of how AI should support the company's business goals.
07 — ROI Framework
10 ptsCan the company measure the business impact of IT projects?
08 — Change Mgmt
10 ptsThe company's experience in delivering organizational change.
Schedule, ten working days.
DAY 1-2
Kick-off and C-level interviews
A kick-off meeting, scope agreement, interviews with 3-5 board members, collection of initial documentation.
DAY 3-5
Interviews with process leaders
Meetings with 5-10 leaders of key processes. AS-IS mapping. Identifying pain points.
DAY 6-7
Data and IT systems analysis
Master data quality audit, systems inventory, integration assessment, data governance.
DAY 8
Synthesis and scoring
Consolidating the findings, scoring the 8 areas, identifying blockers, drafting the roadmap.
DAY 9
Pre-readout for C-level
A draft report, discussion with the board, refining priorities.
DAY 10
Final presentation
The full report, roadmap presentation, quick wins list, a 90-day action plan.
— YES
- · Mid-size and large companies
- · With a board considering AI adoption across the organization
- · With business processes you want to optimize or automate
- · After a failed AI attempt, or before the first one
— NO
- · Small companies under 50 people (scope too small for a 2-week audit)
- · Companies that just want to see AI trends (a workshop, not an audit)
- · Companies with no budget to implement after the audit
- · Startups building AI as a product
Questions about this service.
— SEE ALSO