Embedded build capacity
A senior builder inside your team for a defined window. Scoping, architecture, shipped code, and capability transfer. AI is the reason one person can carry this load.
A senior builder inside your team for a defined window — 2 to 3 days a week, 3 to 6 months. I take the problem end to end: scoping, code, rollout, and the hand-off that lets your team extend the system on their own.
What you get
- One named operator who writes the code, not a revolving consultant roster.
- Production infrastructure, documentation, and pair sessions with your engineers.
- A clean exit: when the engagement ends, capability stays in-house.
What this is not
- A roadmap exercise.
- A fractional CTO role in disguise.
- An agency hand-off with offshore execution.
Autonomous workflow agents
The repetitive, high-volume work done without a human in the loop. Think audits across 77 client sites, or enrichment pipelines turning 2,000 raw leads into 155 qualified M&A targets.
Internal tools and portals
ToolJet, Retool, or custom. The operational UI your team actually lives in: what's running, who owns it, and what needs attention.
n8n / Make workflows with AI nodes
Low-code automation with LLM decision nodes. Business logic that adapts to context, not rigid if-then.
Python agents with tool-calling
Custom agents reaching your databases, APIs, and document stores. Built in your stack, documented for your engineers to maintain and extend.
Clean handoff
Architecture notes, runbooks, and pairing sessions so the capability stays when I leave. No silent vendor lock-in.
- Autonomous audit agent processing 77 client sites — 9 months running without major intervention.
- M&A enrichment pipeline: 373 companies scored, 155 qualified targets — 2 months of build.
- Meeting-prep pipeline: transcript → structured note → CRM update, hands-off.
- 40-hour weekly process reduced to ~2 hours of supervised review.
- Shipped in weeks, not quarters, when the problem was scoped correctly. A fraction of the usual project weight.