AI & company strategy · Product & commercial strategy

Point the company in the right direction, then accelerate with AI.

Strategy that survives contact with the roadmap, pricing that survives contact with the buyer, and an operating model built with AI applied where it actually moves the number.

A 30-minute call to get a first read on where the company should point, and a proposal for a 2–4 week problem-framing engagement.

The right thing, made shippable. A strategy the team owns, pricing tested against the buyer, and AI where it earns its place.

What

From a north-star to a roadmap a team can actually ship.

Most strategy dies not in the idea but in the handoff — a deck no team owns, pricing that never met a buyer, an org built for a different plan. I work inside the leadership team to set direction, get the packaging right, and build the operating model to execute it — with AI as a lever where it moves the number, not where it demos well.

Strategy & north-star to roadmap

Turn a north-star into a roadmap the team owns, sequenced to what actually moves the business, not a slide deck. Product-market fit, and the real problem framed before the tool. AI as a lever applied where it moves the number, gated by a human, never bolted on for the demo.

Operating model & interim leadership

The org, cadence, and decision rights built to execute the strategy — run hands-on as interim or fractional leadership, not handed off in a document.

Pricing & packaging

Packaging and go-to-market decisions across B2B2C, B2B, and B2C — pricing that survives contact with the buyer, pressure-tested, not just the spreadsheet.

Approach

Start from the real problem, not the tool.

I’ve spent 20+ years as an operator setting product and commercial direction in healthcare, from a Fortune-10 health plan to early-stage platforms built from zero. The pattern that holds: strategy is only as good as the roadmap it becomes, and packaging is only as good as the buyer it survives.

So I don’t start with the tool, the model, or the deck. I start with the real problem, get crisp on what “the right thing” actually is, and then engineer a plan the team can own and ship. AI enters where it earns its place, a lever on the number, not the strategy itself.

More learnings from my decades in tech and digital health on Substack →

Proof, not promise

Strategy and packaging I’ve actually shipped.

Bets that reached national scale, a platform packaged and built from zero, and business-model pivots contracted and shipped.

Form Health
PIVOT · PACKAGING

A B2C→B2B2C pivot, contracted and shipped.

As SVP Product & Technology (CPTO) at Form Health: led the business-model pivot from B2C to employer B2B2C — payer and employer contracting and compliance — while scaling ARR and patients 15× in two years. The same packaging and operating-model playbook, applied again.

Read the case →
Sana Benefits
PRICING · PACKAGING

Packaging and a new care line, priced to hold margin.

As VP Product & Engineering at Sana Benefits (self-funded insurance for SMBs): grew 50%+ while doubling gross margin above benchmark, and launched Sana Care, a new virtual primary-care line — a packaging and new-line bet that hit break-even within four months.

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UnitedHealth / Rally
STRATEGY · GTM

Defined the virtual-care strategy, then shipped at national scale.

At a Fortune-10 health plan I defined the virtual-care strategy and launched UHC’s Virtual-First Health Plan (NavigateNOW) — a new packaging and go-to-market bet — and shipped an end-to-end Virtual Care Hub reaching ~40M members across Optum Care and partners, on a member experience at ~4M monthly active users.

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Collective Health
0→1 · OPERATING MODEL

A B2B2C platform packaged and built from zero.

Early product hire at a benefits-administration platform: scaled ARR from zero to a meaningful figure on a platform supporting USD 1B+/yr in healthcare spend, 30→500+ employees and 0→60+ employer clients — a packaging and operating-model build from the ground up (figures on the case page).

Read the case →

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How

Frame, validate, then engineer the plan to ship.

Most engagements start with a 2–4 week problem-framing sprint, priced by role and cadence, not hours. The phases overlap.

01 · Frame

The real problem

Start from the problem, not a tool. Get crisp on what “the right thing” actually is — the north-star and the bet underneath it.

02 · Validate

Tested against reality

Pressure-test the strategy and pricing against the market and the buyer — what’s true, what’s broken, what’s worth doing.

03 · Engineer & lead

Built to ship

A roadmap and operating model the team owns — run hands-on as interim or fractional leadership until it’s shipping.

See the one-page capabilities summary →

This is one of the ways I help.See how else I can help.
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