About Tap
Built by an operator.
For operators.
Tap is a hands-on AI automation practice — built and run by a senior engineer who got tired of watching companies spend six figures on pilots nobody used. The opposite, productized — diagnosis, build, and ongoing operation — as a flat subscription with results you can take to a board.
The why
95% of AI pilots fail because nobody connects them to the work.
The 5% that succeed share a pattern: one workflow at a time, production-integrated, measured against operator metrics, owned by the team using it.
Tap is that pattern, productized — so growing companies can capture it without building and retaining an in-house AI function.
Principles
Six rules that make the engagement different.
Ship, don’t demo.
Every engagement is measured against numbers your team already tracks. If we cannot move one, we say so and hand back unused scope.
A senior engineer, no junior handoff.
No juniors on billable work. The person in your Slack channel is the person writing the code and the evaluation loop.
Vendor-neutral, always.
We test models against your data, not vendors against our pipeline. No affiliate incentives. No resale kickbacks.
Humans stay in the loop.
For anything with quality risk, we design approval checkpoints, escalation, and audit logs up front. AI carries the volume; humans hold the judgment.
Month-to-month.
No multi-year SOWs. If we stop earning the engagement in a given month, we lose it. That is the point.
Quiet, readable, honest.
Monthly readouts in plain English. Cost and quality on the same page. No hiding behind jargon.
Work with us
The three ways engagements start.
Most companies start with one sprint. If the first workflow works, we keep improving it or move to the next one.
Next step
Start with one workflow.
Ship something useful.
Bring the repetitive process your team keeps doing manually. We will audit it, scope the sprint, and tell you whether it is worth automating before you spend more.
$10k flat sprint. One workflow. Senior engineer, hands-on.