Work01 / Executive mandate

Healthtech founders, health plans, provider organizations, healthcare CFOs, product leaders, and operating partners moving from AI interest to governed execution

Healthcare AI Consulting and Implementation

Operator-led healthcare AI consulting that connects use-case strategy, workflow discovery, product and data architecture, agent orchestration, human review, implementation, adoption, and measurable value.

Read the operating brief

The buyer problem

The issue underneath the visible activity.

This is the problem leadership must make legible before adding more pipeline, tooling, headcount, or implementation burden.

The organization can see multiple AI opportunities, but product, data, workflow, compliance, adoption, and commercial value are being planned as separate projects. That creates impressive demonstrations that never become reliable operating systems.

What gets built

A working management system, not a recommendation left in a deck.

The scope is organized around the artifacts, operating rules, and decision cadence the team needs to keep using after the engagement.

  1. 01

    A use-case and economic-priority map that ranks opportunities by buyer urgency, workflow value, data readiness, implementation burden, and risk.

  2. 02

    Current-state and target-state workflow architecture covering users, decisions, evidence, integrations, exceptions, human review, and escalation.

  3. 03

    A build, buy, or partner decision with product requirements, vendor-diligence criteria, data contracts, security boundaries, and an implementation sequence.

  4. 04

    Agent and automation design for bounded work such as claims, prior authorization, denial prevention, access, CRM, analytics, and executive decision support.

  5. 05

    A governed pilot with baseline metrics, evaluation gates, adoption ownership, audit evidence, financial readout, and a scale, redesign, or stop decision.

Proof patterns

What leadership should be able to observe.

  1. 01

    Healthcare operating systems connecting public data, payer economics, provider workflow, applications, APIs, executive dashboards, and explicit control boundaries.

  2. 02

    Claims, RCM, payment integrity, prior authorization, network growth, RevOps, and product-delivery architectures translated into buyer and implementation decisions.

  3. 03

    Founder-to-exit operating experience combined with healthcare GTM, product, data, marketing, and governed AI execution rather than single-lane advisory.

Decision questions

What the executive room must answer.

  1. 01

    Which AI use case changes an expensive operating decision now?

  2. 02

    What data, workflow, integration, and human-review conditions must be true before deployment?

  3. 03

    Should the organization build, buy, partner, or redesign the workflow first?

  4. 04

    Which metric proves value without hiding quality, provider abrasion, patient impact, or implementation cost?

  5. 05

    Who owns the system after the consultant, vendor, or pilot team leaves?

Trust boundary

What this mandate will not pretend away.

Related proof

These records are contextual proof paths, not blanket client-outcome claims. Evidence class and claim boundary are shown from the public case record where available.

01

Operating architecture

Government Payment Integrity Control Plane

Policy, procurement, claims intelligence, AI governance, and proof in one pursuit system
Claim boundary

This is an executive strategy and operating-blueprint build. It does not claim federal procurement authority, employment, contract awards, or implemented government delivery outcomes.

02

Operating architecture

Reimbursement Infrastructure

Prior authorization, claims workflow, payer friction, and AI control in one operating layer
Claim boundary

This is a de-identified reimbursement and commercialization architecture based on public policy and workflow analysis. It does not claim company affiliation, product deployment, customer results, or realized savings.

03

Operating architecture

Medicaid Nutrition Activation OS

Food-as-medicine strategy translated into an executable operating system
Claim boundary

This is an advisory and product-architecture build. It does not claim a live payer contract, deployed client product, booked revenue, or realized clinical outcome.

04

Operating architecture

Specialty Infusion Market Intelligence

A market-entry thesis converted into a field-ready growth intelligence product
Claim boundary

This is a market-intelligence and application build. Account counts and QA results describe the built system, not client adoption, booked pipeline, or realized infusion revenue.

Connected context

Related mandateHealthcare AI Implementation and Revenue IntegrityRelated mandateGovernment Payment Integrity and Policy-to-Workflow Design

Start a serious conversation

Make the buyer problem clear enough to build, prove, and fund.

Discuss an operating mandate