Sav Banerjee is an AI strategy consultant and AI transformation leader with 15+ years in advertising and technology at Google, McCann, Publicis, RAPP, BBDO, and Young & Rubicam — an AI architect certified by Anthropic, Google, and OpenAI.
SB · NYCSav started in agency strategy. Fifteen years at Google, McCann, Publicis, RAPP, Young & Rubicam, BBDO, and Rokkan — managing $150MM+ portfolios across finance, healthcare, and technology. AT&T’s “It Can Wait” — 5MM+ pledges. American Express social — 50% growth. Google+ launch strategy. The Citi Web3 work.
In 2020 he founded Enso Partners to do AI transformation advisory. The deck-only consulting model didn’t survive contact with production. So the practice learned to ship: LangGraph, Claude API, MCP, RAG, Python. The first full Strategy-to-Ship engagement was an AI Market Intelligence Hub for a Fortune 500 manufacturer — eight LangGraph stages, encrypted dashboard, expert-knowledge framework, validated by their lead scientist.
Today, Enso Labs is three things in one studio: consult, build, and ship. The Trading Terminal proves the model — the studio runs autonomous signal intelligence, news-driven algos, and brokerage execution as a production product, not a demo.
In 2026, Sav began competing at the frontier. At Google I/O 2026, the studio entered the open hackathon with a managed-agents orchestration system — connecting live news, options flow, and brokerage execution in a single agentic pipeline. He attended the Agentic AI Summit at UC Berkeley and spent time embedded in the San Francisco agentic AI ecosystem — from Cerebral Valley to Bond AI — building the Bay Area product and research relationships that inform how the studio designs enterprise deployments. He holds credentials as an IBM Partner Plus and Perplexity Computer Implementation Partner.
The advisor and the build team work as one unit. That’s the whole bet.
More on the practice: why deck-only consulting fails · principal-led vs. 50-person consultancy · MCP servers as the new SaaS integration · Notion hackathon: open-source career agent.
Agentic AI Summit · BerkeleyThe studio competes at frontier AI events, not just enterprise boardrooms. At the Agentic AI Summit 2026 at UC Berkeley — with Plenary and VIP access — Sav connected with frontier lab researchers, product leads, and enterprise practitioners navigating the same translation gap: what the labs are shipping vs. what enterprise teams can actually deploy.
At Google I/O 2026, the studio competed in the open hackathon with a managed-agents orchestration system — multi-agent coordination connecting live market data, news analysis, and brokerage execution in a single production pipeline. That build now runs in the Enso Trading Terminal.
The Bay Area relationships inform every enterprise deployment. The NYC enterprise relationships inform how we scope for what actually ships. That loop — frontier to production — is the studio’s structural edge.
Every engagement is led by a senior advisor who also builds — no junior analysts running point. The person scoping your roadmap is in the codebase the next week.
The advisor and the build team work as one unit. Architecture decisions don't get lost in translation between strategy and engineering.
Enso Labs runs its own agentic infrastructure: the Trading Terminal, automated lead gen, scheduled research, N8N workflows. We run what we build.
15+ years inside Google, McCann, Publicis, RAPP, Y&R, BBDO — managing AI advertising strategy, marketing automation, and data-driven campaigns for Fortune 500 brands. The studio has sat across the room from your CFO, CMO, and General Counsel.
No bloated team, no approval chain. A scope decided on Monday is in a sprint on Tuesday. The 3-month time-to-first-value is structural.
A fixed pipeline of deep engagements per year. If we say yes, we mean it — and if we say no, you've saved $200k.
The studio competes at open AI hackathons, attends AGI summits, and maintains active research relationships in the Bay Area. Every architecture recommendation reflects what's shipping at the frontier labs — not what was current 18 months ago.
This site was designed and shipped in 24 hours using the same AI-native workflow we use for client delivery. Read the full build story →
Sav Banerjee is an AI strategy consultant in NYC and the founder of Enso Labs, an AI transformation consulting firm in New York City. He is an AI architect and AI transformation leader with 15+ years of experience at Google, McCann, Publicis, RAPP, Young & Rubicam, and BBDO. He is certified by Anthropic (Claude Code), Google AI, and OpenAI, and is a Perplexity Computer Implementation Partner and IBM Partner Plus.
Sav started in advertising strategy, managing $150MM+ portfolios across finance, healthcare, and technology at agencies including Google, McCann, Publicis, RAPP, Y&R, BBDO, and Rokkan. His advertising background includes AI-powered campaign strategy, data-driven media planning, CRM automation, and digital transformation for Fortune 500 brands. In 2020 he founded Enso Partners to combine AI strategy advisory with production agentic systems development — the same operator who designs the system also ships it.
Yes. Sav attended the Agentic AI Summit 2026 at UC Berkeley and competed at the Google I/O 2026 open hackathon with a managed-agents orchestration system. He maintains practitioner credentials with Perplexity (Implementation Partner) and IBM (Partner Plus), and is embedded in both the NYC and San Francisco agentic AI ecosystems. His work spans enterprise deployment on the East Coast and frontier research and product relationships on the West Coast.
Yes. Sav Banerjee is available for both contract consulting engagements and full-time leadership roles including Head of AI, VP AI Strategy, Chief AI Officer (CAIO), Director of AI Products, and Principal AI Consultant positions. His background as an AI architect and AI transformation leader combines technical depth (Python, LangGraph, Claude API, MCP) with C-suite advisory experience. Contact sav@ensolabs.ai for availability.
Email goes straight to Sav. Calls land on the studio calendar. No screening, no pre-qualification.
