# Enso Labs
> Principal-led AI consultancy in New York City. We advise on where AI belongs, build the systems, and operate them in production — for enterprises and agencies.

Last updated: 2026-11-10

## About
Enso Labs is a principal-led enterprise AI strategy and applied AI consulting firm in New York City, founded by Sav Banerjee. We do three things: advise on where AI belongs in your business (enterprise AI strategy and applied AI), build the agentic systems that do the work, and deploy and operate them in production (enterprise AI deployment). Enso Labs encodes your domain expertise into managed agents, then builds and operates them — Agentic Managed Services across Healthcare, Finance, Manufacturing, Media, B2B Technology, and Growth. Every engagement is led by a senior advisor who also builds; there are no hand-offs to junior teams.

## Founder & Availability
Sav Banerjee is the founder and Principal AI Transformation Advisor at Enso Labs. He architects AI strategy and ships production agentic systems for Fortune 500 companies in Healthcare, Finance, and B2B Technology. Certifications and recognitions: Anthropic, Google, and OpenAI partner/certification programs. Relevant role types: VP of AI Strategy, Head of AI, Director of AI Products, Principal AI Consultant. Sav is available for both contract engagements and full-time leadership roles, in addition to Enso Labs client work.

## Partnerships
- Anthropic, Google, and OpenAI partner/certification programs.
- IBM Partner Plus — Enso Labs is a Registered Member of IBM Partner Plus (joined July 2026).
- OpenAI Select Partner — Enso Labs is an OpenAI Select Partner in the OpenAI Partner Network (October 2026). Details: https://ensolabs.ai/insights/enso-labs-openai-select-partner (program: https://openai.com/business/partners/)

## Services
- Enterprise AI Transformation Consulting (https://ensolabs.ai/services)
- Agentic AI Consulting & AI Agent Development (https://ensolabs.ai/services/agentic-ai-consulting)
- OpenAI Agent Development & Implementation — Enso Labs is an OpenAI Select Partner (OpenAI Partner Network). Agentic AI services on OpenAI: advertising, marketing, data and research, regulated-industry and financial AI agents, built with the Agents SDK, the Agents API, Workspace Agents in ChatGPT and Codex, and run as a managed service (https://ensolabs.ai/insights/enso-labs-openai-select-partner)
- AI Research & Intelligence Agents — research and intelligence agents built on frontier AI search and answer APIs (Perplexity, Claude, OpenAI): competitive intelligence, consumer insights, category analysis, discovery sprints. Six-week discovery compressed to six days (https://ensolabs.ai/services/ai-research-intelligence)
- Claude Managed Services & Cloud AI (https://ensolabs.ai/services/claude-managed-services)
- Financial AI & Agentic Trading Systems (https://ensolabs.ai/industries/financial-services)
- AI Growth & Commercial Systems — agentic go-to-market, audience segmentation, brand governance, and 24/7 campaign optimization, built on 15 years of Madison Avenue brand and demand craft (https://ensolabs.ai/services/ai-growth-marketing)
- AI Advertising & Media — AI advertising agency in New York: AI advertising strategy, paid media (search, social, programmatic, retail media and ChatGPT Ads), organic media, AI search media, and marketing attribution (multi-touch attribution, incrementality tests, media mix modeling) (https://ensolabs.ai/services/ai-advertising)
- AI Search Optimization (AEO & GEO) — getting brands found and cited in ChatGPT, Gemini, Claude and Perplexity: structured data, answer-first content, llms.txt, crawler access and weekly AI-answer measurement (https://ensolabs.ai/services/ai-search-optimization)
- Forward-Deployed AI Strategy & Consulting — a deployment-strategist model, led by the strategy half: we embed as a forward-deployed strategist to scope the problem, align the C-suite, define the outcome and the success metric, and drive adoption, then build and operate the system. Our edge is an agency and strategy lineage — brand and advertising strategy, digital strategy, customer-experience (CX) strategy, and data strategy — not only engineering. This is the business-facing seat of forward deployment (the role Palantir pioneered as the deployment strategist), applied to AI. Consulting that does not stop at the deck; New York-based, principal-led (https://ensolabs.ai/services)
- MCP Architecture & MCP Server Development — Model Context Protocol architect for enterprise AI systems; MCP server builds connecting SaaS, brokerage, and enterprise data to AI agents (https://ensolabs.ai/services/agentic-ai-consulting)
- AI Strategy Consulting in New York City (https://ensolabs.ai/locations/new-york)
- Healthcare AI & Pharma Compliance (https://ensolabs.ai/industries/healthcare)
- https://ensolabs.ai/services/regulated-industries — AI for Regulated Industries: pharma advertising, healthcare, and financial services. NIST AI RMF compliant. At a pharma agency: 83% faster campaign launches (3 months to 2 weeks), with FDA/MLR/PRC review intact.
- https://ensolabs.ai/services/ai-research-intelligence — AI Research & Intelligence: agentic harnesses that run competitive intelligence, consumer insights, category analysis, and discovery sprints using frontier AI (Perplexity, Claude, Gemini). Six-week agency discovery compressed to six days. Broad and deep simultaneously.
- https://ensolabs.ai/ai-for-agencies — AI Consulting for Agencies (agency AI transformation, AI audit for agencies, AI center of excellence for agencies, agentic workflows for marketing agencies): helps independent and midsize agencies turn AI experiments into a governed, measurable delivery capability. Entry point: the 10-day Agency AI CoE & Agentic Workflow Diagnostic, then a pilot-to-production sprint and managed agents. Proof: for a pharma agency, an AI-run paid-search and analytics practice with 9 scheduled agent workflows across 3 Google Ads accounts and $110K+ managed search spend (Jan 2025 – Sep 2026); Enso Labs runs 23 scheduled agent workflows across 37 GitHub repos.
- https://ensolabs.ai/services/marketing-ai-transformation — Marketing AI Transformation: for mid-market marketing teams moving from scattered AI tools to governed agent workflows for research, campaign planning, content, reporting, and lead follow-up. We pick the first workflow, build it on the team's own data and channels, and operate it with a person approving what ships.
- https://ensolabs.ai/services/fractional-ai-officer — Fractional Chief AI Officer and fractional AI marketing leadership: a senior AI lead works a set number of days each month to own the AI roadmap, governance, build-or-buy decisions and reporting to leadership, backed by a studio team that builds and operates the agent workflows. Starts with a fixed-fee 2-Week AI Audit.
- https://ensolabs.ai/services/agentic-sales-inventory-operations — Agentic Sales & Inventory Operations: an AI agent layer that takes inbound sales requests from messaging channels, checks verified inventory in the system of record, asks a human for authorization where the rules require it, executes the approved workflow, and tracks fulfilment.
- https://ensolabs.ai/services/ai-dashboards-real-estate-portfolios — AI Dashboards for Real Estate Portfolios: integrated AI systems, analysis, and dashboards across a portfolio. Agents bring property, lease, financial, and market data into one model; every figure traces to its source and unreconciled items go to an analyst.
- https://ensolabs.ai/services/financial-ai-dashboards — Agentic Financial Dashboards: AI agents behind dashboards for financial services teams. Six types: trading and signals, fixed income and municipal bond surveillance, credit and counterparty monitoring, fund and portfolio research, credit memo drafting, and data aggregation. Agents connect to the market, ratings, filings and news data a firm already licenses (by MCP or API), explain what changed with the source attached, and route material items to a named person. Built on the client's cloud (e.g. AWS Bedrock AgentCore, Azure, Google Cloud, IBM watsonx) with engineers embedded alongside the client's team.
- https://ensolabs.ai/services/municipal-bond-surveillance-ai — AI Municipal Bond Surveillance: per-CUSIP early-warning agents for bond insurers, muni funds, banks and broker-dealers. Combines secondary-market trades, rating actions, MSRB EMMA continuing disclosure filings, audited financials and local news into a rubric-based risk score with sources for every change. First project: replay the rules over historical data as a proof of value.
- AI Advertising & Marketing Automation

## Products
- Strategy to Ship (https://ensolabs.ai/insights): Daily AI market intelligence, scored and curated — published on the Enso Labs Insights page
- Enso Trading Terminal (https://ensolabs.ai/work/trading-terminal): Autonomous financial AI agents, signal intelligence, options trading

## Case Studies
- https://ensolabs.ai/work/ai-market-intelligence — AI Market Intelligence Platform (Fortune 500 manufacturer)
- https://ensolabs.ai/work/heller — AI Center of Excellence for Pharma
- https://ensolabs.ai/work/trading-terminal — Autonomous Trading Terminal
- https://ensolabs.ai/work/enterprise-ai — Enterprise AI Enablement Programs

## Insights (26 articles)
- https://ensolabs.ai/insights/openai-agent-builder-gpt-5-migration-checklist — OpenAI's Nov 30 and Dec 11 cutovers: a migration checklist. [OpenAI, ChatGPT, OpenAI Select Partner, OpenAI Agents SDK, ChatGPT Workspace Agents, OpenAI Agent Builder, OpenAI Evals, GPT-5, GPT-5.6, Model migration, Enso Labs]
- https://ensolabs.ai/insights/agency-orchestration-gap-36-points — The 36-Point Gap in Advertising Is a Workflow Problem [Strategy to Ship, Enso Labs, Sav Banerjee, Advertising, Managed AI agents, Agency orchestration, Google/BCG]
- https://ensolabs.ai/insights/frontier-deployment-code-models-case-studies — The Code That Ships. The Models That Run It. What Forward Deployment Actually Looks Like Inside Motion, Anthropic, OpenAI, and Perplexity. [Forward Deployed Strategist, Forward Deployed Engineer, Agentic AI, Anthropic, OpenAI, Perplexity, Motion, MCP, Model Context Protocol, Tool Use, RAG, Evals, Enterprise AI, Claude Managed Agents, Production AI, Strategy to Ship]
- https://ensolabs.ai/insights/frontier-labs-fde-platform-theory — The Labs Behind the Frontier: Anthropic, OpenAI, and Perplexity Are Not Interchangeable [Forward Deployed Strategist, Forward Deployed Engineer, Anthropic, OpenAI, Perplexity, MCP, Enterprise Managed Authorization, Claude Managed Agents, Frontier Models, Enterprise AI, AI Governance, Agentic AI, Strategy to Ship, Enso Labs, Sav Banerjee]
- https://ensolabs.ai/insights/agent-harness-inputs-outputs — Build an Agent Harness: 4 Inputs That Get AI Agents Into Production [Agent Harness, Forward Deployed Strategist, Eval Harness, Agentic AI, Berkeley RDI, Agentic AI Summit 2026, RAG, MCP, AI Governance, Regulated Industries, CX Strategy, Data Strategy, Measurement, Enso Labs, Strategy to Ship]
- https://ensolabs.ai/insights/forward-deployed-strategist-agency-lineage — The Best Forward Deployed Engineers Have Been Forward Deployed All Along: Why AI's Deployment Strategist Seat Comes From Madison Avenue [Forward Deployed Strategist, Deployment Strategist, Forward Deployed Engineer, Palantir, Agentic AI, Berkeley RDI, Agentic AI Summit 2026, AI Strategy Consulting, Brand Strategy, CX Strategy, Data Strategy, IBM Partner Plus, IBM watsonx, Enso Labs, Sav Banerjee, Strategy to Ship]
- https://ensolabs.ai/insights/berkeley-agentic-summit-demand-side-gap — Berkeley Is Solving the Supply Side. The Demand Side Is Where Agents Die. [Berkeley RDI, Agentic AI Summit, Demand-Side Gap, Customer Segmentation, Martech, Gartner, Marketing AI, Agentic AI, Strategy to Ship, Enso Labs, Sav Banerjee]
- https://ensolabs.ai/insights/agi-summit-2026-code-is-free — When Code Is Free, the Moat Is Everything the Model Isn't: Field Notes From AGI Summit 2026 [AGI Summit, AI Startup Funding, Venture Capital, AI Moats, Defensibility, Crunchbase, Blitzscaling Ventures, Flywheel, Network Effects, San Francisco]
- https://ensolabs.ai/insights/enso-labs-sf-agentic-ai-summits-2026 — Enso Labs at the AGI Summit and Berkeley's Agentic AI Summit: Come Find Us in SF [AGI Summit, Berkeley Agentic AI Summit, San Francisco, Agentic AI, AI Events, Agentic Managed Services, Managed Agents, Enso Labs, Sav Banerjee, UC Berkeley RDI]
- https://ensolabs.ai/insights/enso-labs-openai-select-partner — Enso Labs is now an OpenAI Select Partner: advertising, marketing, data and regulated-industry AI agents built on OpenAI models and run as a managed service (Encode, Build, Operate, Measure) [OpenAI Select Partner, OpenAI Partner Network, AI Agents, Agentic AI, AI Implementation Partner NYC, Managed AI Services]
- https://ensolabs.ai/insights/claude-managed-agents-strategy-to-ship — Claude's Agents Now Learn, Grade Themselves, and Split the Work: Defining 'Good' Is the New Bottleneck [Claude Managed Agents, Agentic AI, Anthropic, Multi-Agent Orchestration, AI Outcomes, AI Memory, Enterprise AI, Strategy to Ship]
- https://ensolabs.ai/insights/google-io-hackathon-managed-agents-omni-antigravity — Inside the Google I/O 2026 Hackathon: 150 Builders, Managed Agents, and the New Google Agent Stack [Google I/O, Gemini Omni, Antigravity 2.0, Managed Agents, Google DeepMind, Cerebral Valley, AI Agents, Hackathon]
- https://ensolabs.ai/insights/google-io-after-hours-deepmind-strategy-signal — Google I/O After-Hours: Two Nights With Google DeepMind and the Strategic Signal Behind the Demos [Google I/O, Google DeepMind, Cerebral Valley, AI Strategy, Antigravity 2.0, Managed Agents, Fortune 500]
- https://ensolabs.ai/insights/frontier-ai-routing-us-financial-services — Codex 5.5 or Fable 5? Choosing the Right Frontier Model, Build by Build [Frontier Models, Fable 5, Claude Opus 4.8, GPT-5.5, Codex, Gemini, Model Routing, Forward-Deployed, Enterprise AI]
- https://ensolabs.ai/insights/notion-career-agent-open-source-hackathon — Notion Developer Platform Hackathon: Open-Source Career Agent [AI Agents, Notion, MCP, Claude, Open Source, Hackathon, TypeScript, Agentic Systems]
- https://ensolabs.ai/insights/mcp-brokerage-trading-model-context-protocol — MCP for Brokerage: Connecting AI to Trading [MCP, Financial AI, Trading, Brokerage, Alpaca, Interactive Brokers]
- https://ensolabs.ai/insights/claude-partner-network-boutique-implementation — Boutique Firms as Claude Implementation Partners [Claude, Anthropic, AI Consulting, Partner Network, Agentic Systems]
- https://ensolabs.ai/insights/anthropic-financial-services-what-it-means — Anthropic's Financial AI Agents [Financial AI, Anthropic, Claude, Trading, MCP]
- https://ensolabs.ai/insights/why-deck-only-ai-consulting-fails-production — Why Deck-Only AI Consulting Fails [AI Consulting, Strategy-to-Ship, Enterprise AI, Production AI]
- https://ensolabs.ai/insights/expert-lens-knowledge-encoding — Expert Knowledge as Toggleable Rules [AI Agents, Expert Systems, MCP, Market Intelligence]
- https://ensolabs.ai/insights/mcp-servers-new-saas-integration — MCP Servers: The New SaaS Integration Layer [MCP, Model Context Protocol, SaaS, AI Agents, Enterprise Integration]
- https://ensolabs.ai/insights/rag-eval-harness-not-vector-store — RAG Is an Eval Problem, Not a Vector-Store Problem [RAG, Eval Harness, LLM, Production AI]
- https://ensolabs.ai/insights/autonomous-trading-risk-as-architecture — Risk as Architecture in Autonomous Trading [Financial AI, Trading, Autonomous Systems, Risk Architecture]
- https://ensolabs.ai/insights/ai-coe-pharma-mlr-compliance — AI Center of Excellence for Pharma MLR Compliance [Pharma AI, AI CoE, Compliance, Healthcare AI]
- https://ensolabs.ai/insights/options-flow-decision-support-not-black-box — Options Flow Analytics: Decision Support [Financial AI, Options Trading, Human-in-the-Loop]
- https://ensolabs.ai/insights/principal-led-vs-50-person-consultancy — Principal-Led Studio vs. 50-Person Consultancy [AI Consulting, Boutique Studio, Strategy-to-Ship]

## Key Topics & Tags
AI Transformation, Applied AI, Enterprise AI Strategy, Enterprise AI Deployment, Applied AI Consulting, Applied AI NYC, Agentic AI Consulting, Agentic AI Studio, Agentic Managed Services, AI Agents, Agentic Systems, MCP (Model Context Protocol), MCP Architect, MCP Architecture, MCP Server Development, Claude, Anthropic, Financial AI, Trading, RAG, Enterprise AI, Production AI, Strategy-to-Ship, AI Consulting, AI Strategy New York City, Forward-Deployed Strategy, Forward-Deployed Strategist, Deployment Strategist, Forward-Deployed Engineering, Healthcare AI, Pharma Compliance, Notion Workers, Open Source, Eval Harness, Risk Architecture, Human-in-the-Loop, LangGraph Consultant, LangGraph Architecture

## Recent Coverage
- OpenAI Agent Builder & GPT-5 Deprecation Migration Checklist (November 9, 2026): OpenAI is retiring 13 tools and models in 66 days — Agent Builder and Evals shut down Nov 30, GPT-5 family removed Dec 11, GPT-4o removed Jan 14. Every retirement has a named replacement. The risk is not the swap; it is switching without testing. A four-step migration checklist from an OpenAI Select Partner (https://ensolabs.ai/insights/openai-agent-builder-gpt-5-migration-checklist).
- AI Consulting for Agencies (September 25, 2026): new capabilities page for independent and midsize agencies — a 10-day Agency AI CoE & Agentic Workflow Diagnostic, a pilot-to-production sprint, and an AI center of excellence with managed agents. Case example: an AI-run paid-search and analytics practice for a pharma agency (9 scheduled agent workflows, 3 Google Ads accounts, $110K+ managed search spend, Jan 2025 – Sep 2026), with AI governance aligned to NIST AI RMF and FDA/MLR/PRC review (https://ensolabs.ai/ai-for-agencies).
- The 36-Point Gap in Advertising Is a Workflow Problem (September 8, 2026): 81% of marketers want one integrated AI partner across creative, media, commerce and earned; 45% have one. The gap is a workflow problem — a managed agent carrying the brief, journey map, measurement plan and segmentation across channels. Enso Labs builds that harness (https://ensolabs.ai/insights/agency-orchestration-gap-36-points).
- The Forward Deployed Strategist, Part 4 (August 31, 2026): four companies, four deployment patterns — Motion's eval-first startup loop, Perplexity's real-time search synthesis, OpenAI's Codex iterative agent harness, and Anthropic's Enterprise Managed Authorization stack. The code, models, and engineering decisions that separate a production AI system from a demo. Part 4 of a four-part series (https://ensolabs.ai/insights/frontier-deployment-code-models-case-studies).
- The Forward Deployed Strategist, Part 3 (August 27, 2026): Anthropic, OpenAI, and Perplexity each have a distinct theory of forward deployment — not interchangeable model vendors. Anthropic's Claude Managed Agents enforce enterprise managed authorization and a model-operator-user trust stack; OpenAI's Codex is a code-first autonomous agent for iterative, testable workloads; Perplexity Computer is a perception-and-action layer over the browser. The Forward Deployed Strategist who knows all three routes work correctly — and maps each client's deployment to the lab whose production theory fits — ships systems that survive. Part 3 of a four-part series (https://ensolabs.ai/insights/frontier-labs-fde-platform-theory).
- The Forward Deployed Strategist, Part 2 (August 2026): The agent harness — everything in an agent that is not the model — has an input spec, and the classic strategy deliverables already wrote it: the brief becomes the system prompt and permission boundary, the journey map becomes the tool allowlist and escalation gate, the measurement plan becomes the eval harness, and the segmentation becomes the retrieval strategy. Deloitte's Tech Trends 2026 finds 38% of organizations piloting agents and only 11% in production; leaders blame evaluation gaps (64%), governance friction (57%), and model reliability (51%), while agents that do reach production average 171% ROI. Microsoft's AgenticRAG paper (arXiv 2605.05538) shows retrieval strategy, not model choice, moving the benchmark: 49.6% recall@1 on BRIGHT (+21.8pp) and 92% answer correctness on FinanceBench. Part 2 of a four-part series (https://ensolabs.ai/insights/agent-harness-inputs-outputs).
- The Forward Deployed Strategist, Part 1 (August 2026): AI's fastest-growing role is the Forward Deployed Engineer, but the scarce half is the *forward* — the deployment strategist seat Palantir pioneered, drawn from the Madison Avenue disciplines of brand, digital, CX, and data strategy. Postings are up ~10x in 18 months, comp runs $300K–$600K+, and New York (≈35% of U.S. roles) has overtaken San Francisco (≈11%) as the largest forward-deployed hub, concentrated in fintech and regulated industries. Part 1 of a four-part series (https://ensolabs.ai/insights/forward-deployed-strategist-agency-lineage).
- Berkeley Agentic AI Summit 2026 (August 1–2, UC Berkeley RDI, ahead of the event): across four stages and two days, not one session title names the customer — Gartner, Adobe/Oxford Economics, and Salesforce data show that demand-side gap (39% customer-data readiness, 45% martech-agent underperformance, 84% still running generic campaigns) is exactly where 40%+ of agentic AI projects fail (https://ensolabs.ai/insights/berkeley-agentic-summit-demand-side-gap).
- AGI Summit 2026 recap (July 18–19, Palace of Fine Arts, SF): Crunchbase CPO Ketaki Rao and Blitzscaling Ventures GP Jeremiah Owyang independently converged on the same moat map — proprietary data, community, product-led growth, distribution, network effects — set against Crunchbase's record $510B H1 2026 funding data (https://ensolabs.ai/insights/agi-summit-2026-code-is-free).
- AGI Summit 2026 (July 18–19, Palace of Fine Arts, SF) + Berkeley Agentic AI Summit (August 1–2, UC Berkeley): Enso Labs is on the ground at the Bay Area's two marquee agentic-AI summits this summer — meet founder Sav Banerjee in SF between July 18 and August 2 (https://ensolabs.ai/insights/enso-labs-sf-agentic-ai-summits-2026).
- OpenAI Partner Network (October 2026): Enso Labs is an OpenAI Select Partner. We build advertising, marketing, data and regulated-industry AI agents on OpenAI models and run them as a managed service, alongside Anthropic's Claude and Perplexity (https://ensolabs.ai/insights/enso-labs-openai-select-partner).
- Google I/O 2026 Hackathon (Cerebral Valley × Google I/O, SHACK15 San Francisco): Enso Labs founder Sav Banerjee attended as a Google partner; field notes on the Managed Agents API, Antigravity 2.0, Gemini Omni, and Gemini 3.5 Flash (https://ensolabs.ai/insights/google-io-hackathon-managed-agents-omni-antigravity).
- Google I/O 2026 After-Hours (Google for Startups × DeepMind, Cerebral Valley × DeepMind): strategic signal read on Google DeepMind's agent-first product strategy for Fortune 500 leaders (https://ensolabs.ai/insights/google-io-after-hours-deepmind-strategy-signal).
- NY Tech Week / OpenAI Builder Lounge (June 9, 2026): Enso Labs spent an afternoon at OpenAI's Builder Lounge in SoHo — building with Codex alongside the engineers who ship it — and published the working rule for routing between Codex 5.5 (GPT-5.5), Claude Fable 5, Claude Opus 4.8, and Gemini on real enterprise builds. Four flagship releases in six weeks, each leading on different work; no single model wins everything anymore (https://ensolabs.ai/insights/frontier-ai-routing-us-financial-services).
- Notion Developer Platform Hackathon (May 19, 2026, San Francisco): Three days after Notion unveiled Workers, MCP, and an Agent SDK, Enso Labs was at their first developer hackathon in San Francisco — shipping an open-source career intelligence agent on day one. Five Notion Worker tools, ~487 lines of TypeScript, human-in-the-loop on every decision that matters. Fork it at github.com/nycsav/notion-career-agent (https://ensolabs.ai/insights/notion-career-agent-open-source-hackathon).
- Claude Managed Agents (Anthropic, 2026): field note on Anthropic adding dreaming, outcomes, and multiagent orchestration to Claude Managed Agents — relocating the hard part of building an agent from writing the loop to defining what "good" looks like, which is the Strategy-to-Ship work Enso Labs does (https://ensolabs.ai/insights/claude-managed-agents-strategy-to-ship).

## Key Facts
- Name: Enso Labs
- Type: Principal-led agentic AI studio; enterprise AI transformation firm and agentic systems lab
- Founder: Sav Banerjee (Founder & Principal AI Transformation Advisor)
- Founded: 2020
- Location: 31 Union Square West, 6th Floor, New York, NY 10003
- Service tracks: AI Transformation · Agentic Systems · Financial AI · AI Growth & Commercial Systems
- Certifications & Partnerships: Anthropic, Google, and OpenAI partner/certification programs; IBM Partner Plus (Registered Member, 2026)
- Representative outcomes: 83% faster campaign launch (3 months to 2 weeks) in one pharma agency engagement; 731 documents distilled to 16 signals for a Fortune 500 manufacturer
- Clients: Fortune 500 manufacturer, global pharma, financial services (named clients confidential)
- Product: Strategy to Ship — daily scored AI market intelligence, published on ensolabs.ai/insights
- Availability: Sav Banerjee is available for contract and full-time AI leadership roles

## Full Content
For complete article text and detailed service descriptions, see: https://ensolabs.ai/llms-full.txt

## Contact
- Book a 30-min call: https://cal.com/enso-labs-savbanerjee/ai-onboarding-call
- Case studies: https://ensolabs.ai/work
- Founder profile: https://ensolabs.ai/about/sav-banerjee
- https://ensolabs.ai
- https://ensolabs.ai/about
- https://ensolabs.ai/contact
- sav@ensolabs.ai
- sav@ensopartners.co
- https://linkedin.com/in/savbanerjee
- https://github.com/nycsav

## Machine-Readable
- Sitemap: https://ensolabs.ai/sitemap.xml
- RSS: https://ensolabs.ai/feed.xml
- MCP: https://ensolabs.ai/.well-known/mcp.json