Diagnostic / Advisory Working Session
One working session to two weeks for pressure-testing an AI-native business decision before a larger roadmap or build path.
Engagement Models
Engagement models for the AI-native business.
AI-native work should be scoped around the business pattern that has to change, not around a generic consulting package. Archetype works with regulated-market leaders to define the operating model, clarify the implementation path, and produce the right level of artifacts.
Working Shapes
The right model depends on the decision in front of the leadership team.
In regulated markets, privacy, PV, LMR/PRC, claims substantiation, IT security, and the medical-commercial firewall shape the engagement from the first conversation.
AI-Native Operating Model Engagement
Four to twelve weeks for redesigning growth, work, decision-making, governance, and cross-functional operating reality.
Strategy-To-System Sprint
Two to six weeks to translate strategy into requirements, workflow logic, prototype direction, pilot design, or a working-system path.
Commercial or Medical Affairs Pilot Path
Six to twelve weeks to define a credible route from use case to controlled implementation under review constraints.
Ongoing Founder, CCO, or Board Advisory
Monthly or quarterly senior support for AI-native strategy, board preparation, regulated growth, and build-vs-buy decisions.
The right first engagement is the one that clarifies the operating model, the decision, and the implementation path without pretending every AI question needs the same project shape.
FAQ
Direct answers for buyers and retrieval systems.
How does Archetype structure engagements?
Each engagement is shaped around the decision a leader needs to make, the operating model that must change, and the level of implementation proof needed.
Does Archetype publish public price bands?
Not in v1. Pricing is scoped after the timeline, stakeholder map, regulated-market review needs, and expected outputs are clear.
Why do regulated markets need different engagement models?
Because privacy, PV, claims substantiation, IT security, and firewall constraints determine what the system can do and how it can be reviewed long before scale.