AI Readiness Assessment
An AI readiness assessment is only as sound as the working reality behind it, and what people actually do day to day is what a survey and a room full of managers never quite reach.
For consultancies running AI readiness work: hear from every employee, reach the reality that never makes it into a workshop, and hand your client an assessment grounded in how their people really work today.
AI potential cannot
be effectively assessed
from the top.
Today the potential is judged from a few conversations at the top.
The people whose work AI is meant to accelerate are never asked.
Senior stakeholders can describe the ambition, but not where AI would really save time. That lives in the daily work below them. To find it, the conversation has to reach the whole workforce, not a sample at the top.
The reality of every workday
shows exactly where the potential lies.
Checkboxes and rating scales give you a score, not the reason behind it. Where AI would really help lives in how people describe their own work, and a form has no way to ask.
sits behind that number.
Which repetitive tasks take up most of their week.
The manual steps they would gladly hand to a tool.
Where a small mistake by AI would cause real problems.
A survey measures,
it never listens.
What you can hear and analyse, at scale across the whole organisation.
The interviews go deeper than any form can. People describe their own work in their own words, and the interviewer follows up on every answer, digging into the why and the how. This gives you a strong foundation for your assessment and your recommendations.
Where does AI stand today?
The real state of adoption, not the official one.
You can tell the client where AI is already in use, where it stalled, and where data is leaving the building.
Where should AI go next?
The ideas people already have.
You can point to the tasks worth automating first, and where people want a human to stay in the loop.
You write the roadmap. Cartorga gives you the evidence.
You still score the maturity, set the priorities, and lead the client conversation. Now that work rests on the whole organisation, not a handful of interviews at the top.
People say what a workshop never hears.
Anonymous by design
No answer can be traced to a person, so people are honest about the unapproved tools, the data shortcuts, and the fear about their job. Will people open up to an AI?
Works councils tend to welcome it
Because nothing traces back, people see it as a real channel to be heard, not a way to be monitored. Do we need works council approval?
Nothing is invented
Every finding is backed by evidence from the actual conversations. If there is no evidence for it, it does not appear. How do you stop the AI making things up?
Every voice, not a sample
Everyone can take part at once, so the assessment rests on the whole organisation, not the few people a workshop can fit in a room. How many people can you reach?
Every conversation, turned into the analysis
you point it at.
Where AI would help most and where it already stands today, including the shadow tools people only admit in private, drawn from what the whole workforce described about their daily work.
Ranked across 340 interviews: what people describe, not tick-boxes.
Manual reporting and data entry
raised in 62%Drafting and rewriting documents
raised in 48%Answering routine internal questions
raised in 37%What people admit only anonymously.
Shadow tools: 1 in 4 paste work into personal ChatGPT / Claude
Stalled rollout: only 12% opened the approved copilot twice
Data leaving: client data pasted into consumer AI, 5 teams