Your team has AI licences.
Something is off.
Maybe the licences sit unused, because nobody senior has said out loud that using
them is allowed and expected. Maybe three developers live in Claude, five have never
opened it, and code review has quietly become the bottleneck. Or adoption went fine,
the backlog burned down in a month, and the team now has spare hours that nobody
feels confident enough to spend on the infrastructure work you actually need done.
We watch this happen from the inside. Both of us hold staff roles that were invented
for exactly this problem: companies that knew AI mattered, had no idea who should own
it, and created the job on the spot when they found someone who could. This
consultancy is that job, offered as an engagement instead of a hire.
A pattern we keep seeing
8 developers
1 product
backlog cleared in 5 weeks
0 freed hours redeployed
That last number is the whole business case. Adoption is the easy half. Deciding what
the freed capacity is for, and giving the team the confidence to use it on platform
and infrastructure work, is the half that pays for itself.