Know where AI pays off for you before you spend on it
A fixed-scope, fixed-price assessment, usually two to three weeks, ending in a prioritized plan you own outright.
The problem
Someone is proposing AI spend, or it is already happening, and nobody can say what it can reach, what it costs per person who actually uses it, or which use case to build first.
Where you are today
We have never used AI
we start from the work itself: which tasks repeat, which of them a model is actually good at, and what you would have to license to begin
We started, and we are stuck
licences are bought and something was built, but adoption stalled; we find out whether the obstacle is the tool, the data or the fact that nobody owns it
We use AI and want to go further
it works and teams want more of it; we map what is already running, approved or not, and what it would take to widen it safely
What you get: quick wins
The automations that will do the most for your business, found, ranked and ready to build first.
Scoping note
One page: which of the three situations you are in, and exactly what the assessment will cover.
Environment report
What AI runs today, or what you would need to start, and whether your environment can carry it. It covers three things:
- Security
- the data any assistant or agent, in use or proposed, could reach, written down before anything is approved
- Cost
- licences you hold priced against who actually opens them, or the cost of beginning if you hold none
- Monitoring
- the number that will tell you each chosen build worked, agreed before it starts
Use-case map
The repetitive tasks worth automating, found by the AI Automation Discovery Agent from your tools’ activity counts and interviews with your people. Each one is costed and scored on impact, feasibility, cost to run, and security. Not a generic shortlist.
See the AI Automation Discovery AgentDecision matrix
Each use case placed in one of four groups, so the quick wins, the most impactful automations that are also easy to build, stand out. Presented to your decision-makers (sample below).
Prioritized plan and roadmap
A dated plan that starts with the quick wins, and that you own outright whether or not we build it.
Something else in mind?Let’s talk
A sample of the result
The matrix your team decides from in the workshop: every use case scored on impact and feasibility, then sorted into four groups.
Worth the work
High impact, harder to build
Contract clause review
Impact 8 · Feasibility 4 · ~$420/mo
Quick wins
High impact, easy to build
Supplier invoice triage
Impact 9 · Feasibility 8 · ~$180/mo
Meeting notes to actions
Impact 7 · Feasibility 9 · ~$60/mo
Not now
Low impact, harder to build
Auto-written board reports
Impact 3 · Feasibility 3 · ~$900/mo
Nice to have
Lower impact, easy to build
Staff policy Q&A
Impact 4 · Feasibility 9 · ~$40/mo
Draft replies to routine email
Impact 5 · Feasibility 8 · ~$30/mo
How we do it
Scoping
A short intake that establishes which situation you are actually in. The assessment is scoped differently for each, so this is the first thing we settle.
Diagnosis
A technical read of the tenant and the AI tooling, with licence and usage analysis, and a few interviews with the people who would use it. The AI Automation Discovery Agent runs them, and finds the repetitive tasks that feed the use-case map.
Prioritization
Your teams will name more candidates than you can fund. Each one is scored on the same four measures, so a request from finance and a request from operations can be compared on something other than who asked louder.
- Impact
- Feasibility
- Cost to run
- Security and governance
Decision
Scoring produces numbers; this turns them into a decision. Every candidate goes onto one impact-by-feasibility matrix, which sorts them into four groups — so you are arguing with a picture rather than a spreadsheet, before anyone commits budget.
- Quick wins
- Worth the work
- Nice to have
- Not now
Workshop
A working session around that matrix, where your team decides rather than receives a recommendation.
- Who is in the room
- What gets challenged
- What gets decided
Find out what your AI is actually doing
A fixed scope at a published price, ending in a plan you own. Tell us which teams are using AI today and we will confirm what the assessment would cover.