A selection of what we build — AI-powered internal tools, operations redesigns, custom software, and the occasional new venture. Every engagement is scoped around a real problem and shipped into real hands.
An AI that qualifies inbound leads, responds in under a minute, and books calls — plugging into your existing CRM, calendar, and inbox. More conversions. No new headcount.
See the workA scheduling and coordination tool that pulls from your spreadsheets, calendar, and the group chats your team already lives in. One screen replaces the whiteboard, the huddle, and the follow-up text.
See the workAn AI that reviews agreements directly from your inbox, document queue, or cloud storage — flagging risk against your own criteria before a human opens the document. 90 seconds, not an afternoon.
See the workA billing and ops layer that connects your accounting software, project tracker, and the client thread — catching scope creep and sending invoices before anyone has to ask.
See the workBlack&Tan Labs is an AI implementation studio where contrasts get put to work — structure and fluidity, intuition and logic, creativity and technology. We design and build tools and systems that hold the tension instead of collapsing it.
An AI implementation studio where discovery meets execution. We design tools, systems, and operations around how your business actually works — then stay in the room until it runs.
Read the methodA focused diagnostic — two to three weeks close to your work, ending in a brief and a clear next step.
AI tools, internal software, operations redesigns — built end to end and shipped into your team's hands.
Ongoing iteration, refinement, and the long, quiet work of compounding — so what we built keeps getting better.
Every AI tool looks good in a pitch. The real test is week three, when the edge cases show up and the team reverts to the spreadsheet. An essay on why implementation is the hard part — and what it takes to close the gap.
Read the essayMy lab stays lean for a reason. Not because it can't grow — because the constraint is the feature. On what you can build when you're not managing headcount, and why AI changes the math on what a small team can deliver.
Read the essayMost AI implementations add a tool to a broken process and wonder why nothing changed. A note on the difference — and why the most valuable thing we build is usually invisible once it's working.
Read the essayThe businesses we work with look different on the surface — shops, crews, practices, new ventures. But the problems underneath are familiar: too much manual work, tools that don't talk to each other, and revenue left on the table every week.
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