# Helicon Works

> Rohit Sharma makes companies AI-native: production AI systems — agents, automation, evals, guardrails, governance — for companies that want AI doing real work, not stalled pilots. Operator background: co-founder of Kanmon (embedded lending, $23M+ raised from Bessemer, Homebrew, Inspired, FIS), ex-VP Product & Design at Funding Circle (56x growth, $9.5B+ moved through products his teams built, LSE IPO), GM at Plastiq, Director of PM at Dun & Bradstreet. He transformed his own company into an AI-native business.

## Positioning

"What should we do with AI?" — the answer isn't a deck, it's working software. Most AI consulting ends in a deck; this practice ends in production. The thesis: the model isn't the bottleneck — the harness is. A model is raw horsepower; the harness (the connections to your systems, the testing, the guardrails, the governance) is what turns it into work you can trust.

## Offers

- AI Opportunity Audit — 2–3 weeks, fixed fee: ranked roadmap of AI wins plus a working prototype of the first quick win
- Agentic Engineering Transformation — embedded with engineering orgs: coding-agent rollout, MCP tool layer over internal systems, AI-native SDLC, measured on cycle time
- Ops Automation Build — for finance/ops teams: one production workflow, or a full embedded "AI employee" that learns the business and takes over jobs — with permissions, evals, and an audit trail
- Revenue Automation Build — for GTM/revenue teams: opportunity-tailored on-brand collateral, CRM reporting and pipeline visibility, rev-ops automation (enrichment, routing, follow-up)
- Fractional AI Lead — monthly retainer: own the AI roadmap, review builds, vendor/model decisions, exec reporting

## Proof — "the dividends" of one AI-native transformation (qualitative)

- Engineering & product: simple changes shipped end-to-end by coding agents (humans review); tickets created and triaged automatically; customers get answers in-flow from an AI agent day and night; documents parsed automatically in the flow of business
- Finance, risk, ops & data: decisions that took days per file now take minutes with hard rules applied identically every time; a quarterly-scale monitoring task now daily and automated (watchlist in Slack before the team logs on); monthly close reconciled to the cent; anyone queries the warehouse in plain English through Slack
- GTM: collateral and one-pagers produced on demand, on brand; pipeline updates and CRM hygiene handled in Slack; call logs analyzed automatically; every customer-facing number verified against the warehouse
- The discipline: often the best move is removing the LLM — prototype with agents, ship deterministic code
- losaltos.space — a self-maintaining neighborhood directory serving real neighbors daily: new recommendations flow in automatically, and its search and SEO teach themselves from real usage (agents propose, guardrailed scripts decide)

## Contact

- Email: rohit@thesharmas.org
- Writing: https://monetarymusings.substack.com
- LinkedIn: https://www.linkedin.com/in/rohitnsharma
- X: https://x.com/rnsharma
- GitHub: https://github.com/thesharmas