Independent AI deployment studio
I work with B2B AI and SaaS teams when a customer deployment is blocked by integrations, production uncertainty, or limited delivery capacity.
This is forward deployed engineering: hands-on work inside a real customer workflow, from integration through rollout.
Test one workflow, ship a usable first version, or add bounded monthly delivery capacity. Need clarity before building? Start with the Production Readiness Diagnostic.
About two weeks after readiness and access are confirmed
Turn one AI workflow idea into a working thin slice that can be tried, measured, and used to decide what to build next.
About four to six weeks after readiness and access are confirmed
Build and release one useful AI workflow with the integrations, evaluation, failure handling, and handoff needed for an agreed pilot.
Monthly; the proposal confirms the start, cadence, and scheduled capacity
Add recurring senior delivery capacity for one active AI workstream without creating an open-ended support promise.
Lucent Lab product
A crawl-to-publish system covering translation, review, rendered behavior, custom hosts, and operational recovery.
Read the case studyYou work directly with me. We agree on one useful outcome, build it, and leave your team able to run it.
We identify what the user needs and what is stopping it from working.
I build and test the smallest complete path that solves the problem.
You get clear documentation, ownership, and next steps.
