Services
Six service lines. Each one picks up the work at a different point: an operating-model redesign at a payer or pharma, a commercial sprint at a med-device company, a Medical Affairs rebuild at a biotech, the executive sitting with the AI mandate at a provider system, the search for the leader the org hasn't hired yet. The team doesn't change.
Service Lines
Strategy, requirements, prototype, pilot, leadership search. One senior team carrying the same thread, from the decision to the system that runs it.
What the business looks like when AI is part of how growth, decisions, and governance actually run, instead of a layer on top. Current-state diagnosis, workflow redesign across the regulated functions (medical, commercial, clinical, network), governance design, tech-stack rationalization, and a roadmap a board can sign.
Read more →Strategy that ships. Discovery, requirements, workflow and data architecture, design sprint facilitation, and prototype or pilot readiness. Carried by one team through to a working artifact. The gap to impact is almost always execution, not insight.
Read more →Agentic systems shaped to the regulated commercial workflow, not generic sales-AI. Pre-call planning agents that respect HCP engagement permission at a pharma or biotech, field-team enablement at a med-device company, commercial-team workflows at a payer or pharmacy. OCE measurement frameworks, field effectiveness dashboards, adoption plans built for the realities of a regulated field-team's actual day.
Read more →Agentic systems shaped to Medical Affairs reality. MSL effectiveness models, medical content workflows that move through MLR as rules instead of one-off gates, field medical use-case design, PV-adjacent automation, and data activation models that survive privacy review. Built for pharma, biotech, and med-device medical functions.
Read more →1:1 work with the leader accountable for AI outcomes, often the CCO, CDO, Chief AI Officer, Chief Health AI Officer, or Head of Medical in the first six months of the seat. Coaching on AI fluency and decision-making, value-tracking against the original business case, and the periodic recalibration that keeps a multi-year program honest about its impact thesis.
Read more →Search and placement for AI-native leaders inside regulated healthcare. Leaders who use AI in their own daily work, can build with AI, and read the regulated context fluently. For digital, AI, commercial, clinical, network, and Medical Affairs roles where a generic search doesn't surface the right shape of person.
Read more →FAQ
Six service lines: AI-Native Operating Model, Strategy → Impact Sprints, Commercial Agentic Enablement, Medical Affairs Agentic Enablement, Executive Coaching and Value Assurance, and AI-Native Executive Recruiting.
Where the engagement calls for it, yes. The work produces requirements, prototype logic, pilot design, and the path to a working production system. Strategy and build are carried inside one engagement, by one team, with no re-procurement step in the middle.
Privacy review, claims substantiation, clinical and pharmacist review, IT security, LMR/PRC at a pharma, utilization-management review at a payer, the medical-commercial firewall, and the equivalent constraints at a provider system or medical-device company are designed in from week one, not retrofitted in week ten. Tools are chosen for fit-for-purpose healthcare use, not lifted from generic AI consulting playbooks.
Most discrete strategy engagements run between $75K and $300K. Strategy-to-build engagements over three to six months land between $300K and $1M+. Fractional advisory runs $15K to $40K per month. Pricing is shaped to the decision the client is carrying, not to a staffing pyramid.