About

An AI-native consultancy, built for healthcare

Archetype Partners helps pharma, biotech, life-science, health-tech, and medical-device leaders reimagine the business around AI, and carries that strategy into the systems that actually run it.

Sundar Ganapathy

Managing Partner

Sundar Ganapathy

Sundar is an independent management consultant helping pharmaceutical and healthcare companies build agentic AI solutions. He spent eight years at McKinsey, joining as an experienced hire and working his way up the pyramid to Expert Associate Partner leading Digital Growth for Life Sciences, before going independent.

Over the last eighteen months, he's been embedded with a top-10 global pharma redesigning Medical Affairs around AI. The work spans cross-functional pods across Medical, Field, SciComm, and MD&A, agentic assistants for pre-call planning, content discovery, and briefing, and the governance and pilot path that ties them together. It ships inside the medical-commercial firewall, around PV-adjacent workflows, and under regulated claims constraints, the conditions that break most AI strategies before they reach production.

He lives in Austin with his wife and three kids. In his free time he plays pickleball and builds things that probably don't need to be built, including an AI operating system that runs four parallel prompts on every client session, with McKinsey frameworks applied to the prompt architecture itself.

How Archetype actually runs.

Lean by design. The judgment layer stays human.

Archetype does not staff like a traditional consulting firm. The model is intentionally inverted: an agentic operating system replicates the consulting pyramid, and human subject-matter experts carry the judgment work.

The agentic operating system

Archetype runs on an agentic system that instantiates the consulting pyramid: an Engagement Manager, Associate, and Partner, each trained on the frameworks that make top-tier consulting work. The agents handle workstream structure, analysis, first-draft synthesis, and longitudinal stakeholder memory.

Human subject-matter experts

When an engagement needs deep domain work, the agents are paired with subject-matter experts pulled from top-tier consultancies. These are the people who would have been your Partner-level thinker at a firm, without the staffing committee or the three-layer summary chain between their thinking and your system.

What that means for clients

The throughput of a full consulting pod without the overhead. No steering-committee cadence, no weekly summary deck, no partner-to-team dilution. Clients spend their time on decisions, not on managing the engagement.

What Archetype believes.

The practice model is built around regulated-market reality.

AI-native work breaks when strategy, system design, and regulated-market constraints are separated too early.

  1. 01

    AI belongs in the operating model

    The useful question is not where AI can be added. It is what the business should become when AI changes the default assumptions.

  2. 02

    Regulation is a design condition

    Privacy, PV, LMR/PRC, claims substantiation, IT security, and the medical-commercial firewall shape the first draft.

  3. 03

    Implementation is part of the strategy

    A strategy that cannot survive requirements, user behavior, governance, and build reality is not finished.

  4. 04

    Small senior teams move faster

    No partner-to-team dilution. No three-layer summary chain between the decision and the system.

Start the conversation

Let's talk