The starting point
What was getting in the way.
Leaders wanted to know where AI would make a practical difference in a complex service business, before spending on it.
Workflow evidence · AI opportunity review
Four workflows prioritised before the business invested.
115-person commercial HVAC operator. Leaders wanted to know where AI would make a practical difference in a complex service business, before spending on it.
For functional leaders and People/L&D teams booking on behalf of a team.
Visual summary · Operations workflow
What changed
Leaders received a value-and-effort view and phased order across four operational workflows.
115
People in the business
4
Priority workflows
Value × effort
Decision lens
Phased
Action plan
Published anonymously while client approval is pending. No name, logo, quote or unverified performance claim is shown.
The engagement
What we did together.
We mapped the opportunities, weighed likely value against effort, and gave leaders a clear order to work through.
How the work moved
From a broad AI question to a usable answer.
Map the opportunities
Make the operational work visible across repair quotes, coordination, purchasing and renewals.
Compare value and effort
Give each opportunity the same decision test instead of choosing the loudest or newest idea.
Set the order
Identify which workflows deserve attention first and which should wait.
Give leaders a plan
Turn the shortlist into a phased route leaders could use for the next decision.
Inside the workflow
The work we put on the table.
01
Repair-quote conversion
02
Coordinator capacity
03
Purchase orders
04
Contract renewals
What they left with
Tangible work the team could use.
- 01A map of the opportunities
- 02A shortlist of workflows
- 03A value and effort comparison
- 04A phased plan
What the evidence supports
The facts we can stand behind.
- 01The main workflows were mapped
- 02The opportunities were put in priority order
- 03Leaders received a phased plan
Why this matters
The review replaced a broad question about AI with a practical sequence of workflow decisions. Leaders could decide where to focus before committing further time or budget.
Evidence boundary
What this does not prove.
This is review work, not training. We are not claiming a training result, and we did not implement the plan.
Choose where AI deserves attention first.
Tell us which team and workflow need to change. We will recommend the right programme or say if training is not the answer.