Enso Labs is an enterprise AI consulting firm offering four integrated service tracks: AI Transformation Consulting, Agentic Systems & Products, Financial AI & Trading Intelligence, and AI Growth & Commercial Systems. Pick one, or run them as a single program. Based in New York City.
The AI market is pouring capital into the supply side — models, infrastructure, and product-stack rebuilds. The demand side — who the agent serves, what it may claim, the brief written before it ships — is where more than 40% of agentic projects fail. Enso Labs works that side: foundational AI architecture, planned with your data and your C-suite before a line of production code ships.
Strategy, roadmaps, and governance for executive teams turning AI ambition into commercial growth — delivered forward-deployed, as a deployment strategist embedded in your team rather than an outside adviser. Built around the Strategy-to-Ship Framework.
12-month commercial AI roadmap rooted in business case, sized by ROI, and sequenced for pilot-to-production conversion.
Technical discovery, data audit, organizational scorecard. Where you are vs. where the deck says you are.
8–15 person cohorts. Hands-on with Claude, Gemini, GPT-4, MCP, and N8N. Decision-makers leave with a working artifact.
Defensible business case with sensitivity analysis. The version your CFO will actually sign.
NIST AI RMF · FDA / MLR / PRC compliance · model evaluation framework · policy & documentation.
Org design, comms, enablement curriculum. Measured by adoption and value realized — not seats sold.
We architect, build, and ship the production systems your strategy depends on. Forward-deployed — the same operator embedded in your environment from strategy through deployment, with no hand-off from advisor to engineer.
LangGraph / CrewAI orchestration. ReAct agents, parallel fetchers, evaluator loops. Built for observability and rollback.
Domain-encoded retrieval. Eval harnesses, hallucination guardrails, evidence-trail UX. Tuned for expert review.
N8N + Claude API + scheduled tasks. Lead gen, research pipelines, ops automation. Quietly running 24/7.
Model Context Protocol servers, tool integrations, custom connectors for Claude & Perplexity Computer.
CoE design, knowledge bases, brand-safe templates, governance, enablement curriculum. Heller-grade.
End-to-end product builds: front-end, agent backbone, eval loop, deploy & ops. From v0 to production.
We design and deploy AI agents for financial services — from autonomous trading systems to market intelligence platforms. Built on Claude’s financial services infrastructure with MCP-connected brokerage APIs, real-time signal processing, and production-grade security.
Claude + Alpaca/Public.com/Interactive Brokers. Strategy engines, execution layer, risk caps, kill switches.
Real-time signal aggregation and synthesis. News-driven pipelines, RWW scoring, evidence-trail UX.
Model Context Protocol for financial APIs. Paper to live, structured tool calls, typed surfaces.
Options Lab with IV surfaces, flow analytics, strategy testing. Decision support, not black box.
Multi-exchange, multi-agent. Automated screening, position sizing, on-chain execution.
End-to-end data pipelines for market data, alternative data, and financial analytics.
Audit trails, encryption, access controls. Production-grade security for regulated environments.
Fifteen years of Madison Avenue craft — segmentation, insight, campaign planning, and brand — built as agents. Growth marketing, marketing engineering, and GTM engineering are new names for work we’ve done for enterprises since before the buzzwords.
Real-time ICP and segment modeling on live behavioral and intent data — segmentation that updates itself, not a static deck.
Agentic research harnesses that go broad and deep: competitive intelligence, consumer insights, category analysis, and discovery sprints. Six-week agency discovery in six days.
Multi-channel planning agents plus always-on optimization across Google, LinkedIn, and Meta. Budget follows performance, continuously.
Your brand book becomes the rubric — agents that keep voice, claims, and compliance on-brand at machine scale.
From first touch to pipeline: an agentic demand engine wired to your CRM and analytics, measured on outcomes not seats.
Maturity assessment, opportunity map, prioritized backlog. End with a written roadmap and a working agentic prototype.
Diagnose · Design · Build · Hand-off. The full Strategy-to-Ship Framework, scoped to one high-leverage use case.
A senior strategist + builder forward-deployed with your team. Continuous shipping, governance, and CoE stewardship — embedded, not advisory.
AI transformation consulting is an enterprise AI consulting engagement that helps organizations convert AI ambition into commercial outcomes. The work spans AI strategy and roadmapping, AI readiness and maturity assessments, executive workshops, business case and ROI modeling, change management, and responsible-AI governance — anchored on the Strategy-to-Ship Framework. Enso Labs is an AI consulting firm in New York that delivers these engagements principal-led.
Agentic systems are production AI workflows where autonomous agents — built on LangGraph, CrewAI, the Claude API, and the Model Context Protocol — orchestrate tools, retrieve from RAG knowledge bases, and ship work end-to-end. Enso Labs builds them with eval harnesses, observability, and rollback baked in from day one.
12–24 weeks for full Strategy-to-Ship engagements, with 2-week diagnostics available as a fixed-fee starting point.
Healthcare and Pharma, Financial Services, B2B Technology, and Advanced Manufacturing.
Anthropic (Claude Code), Google AI, OpenAI. Sav Banerjee is also a Perplexity Computer Implementation Partner.
Yes. Enso Labs provides cloud managed services for AI infrastructure — including deployment, monitoring, and operational support for production agentic systems, MCP servers, RAG pipelines, and Claude API integrations. Our cloud managed services cover architecture design, CI/CD pipelines, observability, and compliance layers across AWS, GCP, and Vercel environments.
We build production AI agents for trading, market intelligence, portfolio management, and financial analysis — using Claude's financial services infrastructure with MCP-connected brokerage APIs (Alpaca, Public.com, Interactive Brokers). Our Enso Trading Terminal has been running autonomously in production since 2025, predating Anthropic's formal financial services agent launch.
Yes — and we lead with the strategy half. Forward deployment has two seats: the deployment strategist who embeds to scope the problem, align stakeholders, and define the outcome, and the engineer who ships the system. Enso Labs runs both, but our edge is the strategist seat — drawn from fifteen years of Madison Avenue work across brand and advertising strategy, digital strategy, customer-experience (CX) strategy, and data strategy. We embed with your team, define what the AI is actually for and what it is allowed to claim, then build and operate it. It is consulting that does not stop at the deck.
A forward-deployed AI strategist is the business-facing half of forward deployment — the role Palantir pioneered as the deployment strategist. They embed inside the organization, translate operational complexity into a plan, align the C-suite, define the outcome and the success metric, drive adoption, and own the engagement end to end — then ship the system that delivers it. A traditional consultant is judged on the recommendation; a forward-deployed strategist is judged on whether it runs in production. Enso Labs brings this from an agency and strategy background — segmentation, brand governance, journey mapping, and data strategy — not only an engineering one, which is why the work lands with the business, not just the IT team. Our pilot-to-production conversion rate is 75%.
End-to-end Claude implementation and operational support — from MCP server development to multi-agent deployment to compliance-ready governance. Certified Anthropic partner with shipped production systems.
Most engagements span two tracks. The Trading Terminal proves a principal-led studio can run consult, build, and ship simultaneously.
