Your internal
AI innovation team.

We embed with your organization, learn how you operate, and build custom AI that solves your biggest business problems — without the overhead of hiring a team.

Founder experience across

The state of enterprise AI

AI doesn't fail on models. It fails on context.

  • 80%+of AI projects fail — twice the rate of ordinary IT projectsRAND, 2024
  • 84%of experts cite the wrong problem — not the technology — as the top reason AI projects dieRAND, 2024
  • 42%of companies abandoned most of their AI initiatives in 2025 — up from 17%S&P Global, 2025
  • higher deployment success when built with expert partners vs. internal-onlyMIT, 2025

None of these are technology failures. They're context failures — and the reason we embed with your team before we build anything.

How we work

Understand first. Build second.

A single map becomes more precise as each phase adds evidence and removes assumptions. The Understand phase runs as a fixed-scope Deep Dive — typically two to six weeks.

  1. 01

    Immerse

    See how work actually happens — not how the process document says it happens.

  2. 02

    Map

    Connect people, systems, data, constraints, and decision points.

  3. 03

    Diagnose

    Rank opportunities against value, feasibility, and adoption risk.

  4. 04

    Build

    Create the smallest production system that changes the target decision.

  5. 05

    Elevate

    Transfer capability until the system runs without Complexy.

What we believe

AI starts with context, not tools.

Ten operational commitments — not vision poetry. Three of them:

  1. Understand before proposing.

    The first weeks of every engagement are spent learning your business — only then do we say what we'd build.

  2. We build your capability, not your dependency.

    We teach while we build. Our success is measured by how much stronger your organization becomes — not by how long we can keep billing you.

  3. If AI is the wrong answer, we say so.

    We'd rather lose a project than sell a bad one.

More than AI experts. Business builders.

Complexy is led by its three founders: a physician executive who has shaped healthcare at the highest levels, an actuary and AI strategist who builds enterprise analytics platforms, and a software architect who turns ideas into production systems. They work alongside a senior team of engineers, analysts, and specialists — the same people who show up on your project.

Portrait of Joshua Kwasny

Joshua Kwasny

Co-Founder & Managing Partner

Analytics executive, actuary, and AI strategist — applied AI with governed, measurable outcomes.

Portrait of Don Fetterolf

Don Fetterolf

Co-Founder & Clinical Visionary

40+ years of physician-executive leadership across clinical transformation and population health.

Portrait of Victor Greca

Victor Greca

Co-Founder & Software Architect

Leads technical delivery end to end — software and AI that ships and stays understood after launch.

Questions before we talk

A decision, a workflow, a data problem, an AI ambition, or an operational constraint. The first conversation is about your context — and the most useful first move: a workshop, a Deep Dive, or an honest answer that AI isn't it.

Yes. Complexy can lead, partner with, or enable internal teams — and we teach while we build, so capability stays with you. No lock-in is a value, not a feature.

That's where we're strongest — healthcare is our deepest domain. Governance, privacy, auditability, and human review are designed in from the start, not retrofitted. (Please don't submit PHI or confidential records through the website.)

Every engagement defines its baseline and adoption signal up front, so success is measured, not asserted. The same discipline applies to every number we publish: verified, or clearly labeled illustrative.

Bring us your hardest problem.

A focused conversation about your context — and an honest read on the most useful first move: a workshop, a Deep Dive, or a straight answer that AI isn't it.

Prefer to write first? Send us a message