AI strategy without a direction
You know AI matters but have no shared list of opportunities, so every request competes on enthusiasm rather than evidence.
Package
Find the AI work worth doing first.
Before you build, you need to know which AI ideas are worth the effort. In two weeks we study your workflows, test the strongest candidates and hand you a ranked plan.
Duration2 weeks
FormatFixed-scope assessment
Best forTeams weighing AI options
OutcomeRanked AI opportunity plan
Overview
A clear picture before any build.
Most teams have a long list of places AI might help and no reliable way to choose between them. Building the wrong thing costs months and teaches little. This assessment replaces that guesswork with evidence: how work happens today, where time is lost, and which problems are a good match for an agent, a model or a simpler fix.
We work with the people who do the job, not just the people who sponsor it. Interviews and system walkthroughs show what is repetitive, what is risky and what your data can actually support. Each candidate is scored on value, effort and risk, so the final plan reflects your constraints rather than a vendor's enthusiasm.
Workflow mapping, not guesswork
We trace how requests move through your team today, including the manual steps nobody writes down.
Candidates scored side by side
Every idea is judged on business value, implementation effort, data readiness and the risk of getting it wrong.
Evidence from your own data
We inspect the documents, records and systems behind each idea to confirm it can be supported in practice.
A ranked shortlist
You get the few ideas worth pursuing, ordered by impact and effort, with the reasons for each position written down.
Architecture sketch for the top pick
For the leading candidate we outline the systems, data sources, tools and guardrails a real build would need.
A decision your team owns
The plan is written for your team to act on, whether you build with us, hire internally or wait.
Use cases
Where an assessment pays off
Most useful when the options are many, the budget is finite and the cost of choosing badly is high.
A stalled pilot
An early experiment lost momentum and you need an honest read on whether the idea deserves another attempt or a different shape.
New leadership, new priorities
A change in leadership brings pressure to show an AI plan, and you need something concrete enough to survive a budget review.
A build decision this quarter
You are choosing between a custom build, a vendor tool and doing nothing, and want the trade-offs set out before you commit.
Deliverables
What you receive.
- An opportunity map of your current workflows
- A ranked shortlist with value, effort and risk notes
- A short architecture sketch for the leading candidate
- A data readiness review for each shortlisted idea
- A written recommendation on the next step
- A readout session with your team
How we work
How the two weeks run.
Week 1: Discovery
We interview the people closest to the work, review systems and collect the documents and data behind each candidate.
Week 1: Opportunity mapping
Candidates are written up in a common format, then scored together with your team so the ranking reflects real priorities.
Week 2: Validation
We test the leading ideas against your data and constraints, speaking to vendors or engineers where a technical question needs an answer.
Week 2: Readout
You receive the ranked plan, a walkthrough with your team and a clear recommendation on what to do next and what to leave alone.
FAQ
Common questions.
What do we get at the end of the two weeks?
A written assessment with a ranked shortlist, a short architecture sketch for the leading idea and a readout session with your team. You keep the material either way.
Do we need clean data or a technical team?
No. We work with what you have and note where data would need work before a build. Missing data is a finding, not a reason to stop.
Is this only for AI projects?
The focus is AI, but the same method often shows that a simpler automation or a process change is the better first move. We say so when that is the case.
Can you sign a confidentiality agreement?
Yes. We can work under your NDA and keep access limited to the people doing the assessment.
What happens if we want to build the top idea?
Many teams continue into the AI Agent Pilot or a custom build. The assessment gives that work a head start, and there is no obligation to continue with us.
Next step
Start the conversation
Not sure where AI fits in your business?
Tell us what your team spends time on. We'll suggest whether the assessment is the right starting point.