AI readiness and use-case assessment.
A short, structured look at your processes, data and systems to find where AI creates measurable value, what it would take, and what to avoid — ending in a prioritised plan and a first pilot you can start within weeks.
Processes
Where the hours go: repetitive reading, writing, sorting and copying between systems. The people doing the work describe it; we time and count it.
Data
What exists, in which quality, where it lives and who may use it. Documents, tickets, e-mails, ERP and CRM records — and the gaps.
Systems
Microsoft 365 or Google Workspace, CRM, ERP, helpdesk, sector software: which have interfaces, which already contain AI features you pay for.
People
Skills, appetite and concerns — the pilots that work are the ones defined by the people who do the work.
Rules
GDPR, sector regulation, customer contracts, confidentiality, and the EU AI Act category of each candidate use.
Build or buy
Features already in your tools (Copilot, Gemini, CRM assistants) against integration and custom development — with cost and effort for each.
Use-case catalogue
Each candidate with expected value, effort, risk, prerequisites and the recommended route — buy, configure, integrate or build.
Data readiness findings
What can be used now, what needs cleaning or structuring first, and what should not be used at all.
Governance baseline
A usage policy for staff, the list of approved tools, data classification and logging requirements — short enough to be followed.
Pilot plan
One use case, its scope, success metrics, the people involved, a four-to-eight-week timeline and a fixed price.
Cost model
Licences, usage-based model costs, integration effort and operation — per use case and for the first year.
Interviews and inventory week 1
Management and the teams doing the work; systems and data inventory; rules collected.
Analysis and quick prototypes week 2
Candidates analysed; one or two tested on real (anonymised) examples to see what quality is achievable.
Workshop and prioritisation week 3
Results presented; use cases ranked with you by value, effort and risk.
Report and pilot plan week 4
Catalogue, findings, governance baseline, pilot plan and cost model handed over.
Do we need our data “ready” first?
Partly. Many high-value uses — drafting, summarising, answering from documents — need little preparation; analytics and forecasting need clean data. The assessment says which is which.
Is Copilot or Gemini enough for us?
For many personal productivity tasks, yes, and the assessment tells you how to roll them out safely. Process-level automation and customer-facing assistants usually need integration work.
What about our staff’s concerns?
They are part of the interviews. Successful pilots are those where the people doing the work define the use and see the result.
Can the assessment conclude that AI is not worth it for us?
Yes, and it sometimes does for individual use cases. You receive the reasons and the numbers either way.
AI solutions catalogue
Twelve solutions working in companies of your size: customer-service and knowledge assistants, invoice processing, inbox triage, sales drafts, reporting — with pilot times and what you get.
Read more →AI for businessAssistants and automation
How assistants and automations are built safely: retrieval, permissions, guardrails, evaluation — and how a pilot runs.
Read more →AI for businessGemini, ChatGPT, Copilot and Claude for your company
The workplace AI platform that fits you — licences, data protection, policies, training and integrations. Rolled out in 3–6 weeks.
Read more →Start with two to four weeks.
Tell us the size of the company and the tasks that take the most time. We reply within one business day with the assessment scope and its fixed fee.