Forward-deployed AI transformation
Enso Labs is an AI consultancy in New York. We help enterprises and agencies decide where AI belongs, build the systems that do the work, and operate them in production. One senior advisor runs the engagement and does the building.
↳ scoped, built and operated by the same team
Selected work · swipe →
Last pipeline run Apr 2026, go/no-go milestone · figures from the April 2026 go/no-go milestone. Replace with a live read when the metrics endpoint is exposed.
Enso Labs is led by Sav Banerjee — fifteen years advising enterprise clients on strategy, now building the systems himself.
You work with one senior advisor from the first conversation to production. A vetted specialist network scales with the scope. No hand-offs to a junior bench.
We work forward-deployed — a deployment strategist who also ships, the way a good agency partner works: embedded inside your team, on your deadlines, accountable for the output, not just the recommendation. It is a discipline that comes as naturally from brand, digital, CX, and data strategy as it does from engineering.
And we run what we sell. The Enso Trading Terminal runs autonomous research, signal intelligence and brokerage execution in production, twenty-four hours a day.
Interviews, data and workflow audits, and a readiness assessment — so you know which decisions AI should touch first, what it will cost, and what will pass review.
We build against your real data — agents, retrieval, and integrations into the tools your team already uses — and ship into production, not into a demo.
Then we run it, and it gets better every month. Monitoring, evaluation and tuning, reporting to your leadership, and enablement for the people using it — until your team is ready to take it in-house.
Pulled from live client engagements and the systems we operate. No vanity metrics.
Principal-led delivery, designed so a pilot doesn’t die in the lab.
AI maturity assessment, technical discovery, stakeholder mapping. We measure where you actually are.
Roadmap, business case, governance frame, and the production architecture. Designed for what has to run.
Agent architecture, RAG, MCP, integrations. The advisor and the build team are one unit, so nothing gets lost in translation.
We run the system, report on it monthly, and train your people on it. When you want it in-house, we document it and hand it over.
Have something that has to work in production? Let's talk.
