Scale + Govern

AI Delivery Operating System

Decision rights and repeatable pathways for AI delivery.

Give AI adoption decision rights and repeatable pathways. Operating-model playbooks, Consume / Compose / Build decisioning, Factory Blueprints, Scout Harvester, governance patterns, standards, training, and adoption.

Component 04 / 04Boost Health AIRuns in your environment
Why it exists

AI is scaling faster than the model governing it.

Business users are creating agents, automations, and low-code solutions. Developers are using copilots and coding agents. What has not been defined is who owns what, and how any of it reaches production safely.

No decision rights

Nobody can say where citizen development stops and professional engineering begins.

No approved pathways

Every team invents its own route to production, or stops short of it.

Governance as an afterthought

Review at the end rather than controls inside the work.

Capability stays with vendors

Without standards and training, nothing compounds internally.

The goal is not to slow innovation down. It is to give it safe, scalable pathways.

What it provides

The rules of the road, then the road itself.

Decisioning

Consume, Compose, or Build

A single framework for whether to buy a capability, assemble it from existing parts, or build it new.

  • Consume: buy and configure
  • Compose: assemble from Foundry assets
  • Build: engineer through the Factory
  • Low-code versus pro-code guidance
Pathways

Repeatable routes to production

Factory Blueprints and the Scout Harvester turn one-off delivery into a repeatable operating model.

  • Factory Blueprints
  • Scout Harvester for opportunity capture
  • Escalation and graduation rules
  • Standards, training, and adoption
What it provides

Eight parts of the operating model.

01
Operating-model playbooks

How AI work gets decided, staffed, governed, and measured.

02
Consume / Compose / Build decisioning

One framework for buy, assemble, or build.

03
Factory Blueprints

Repeatable delivery patterns for recurring work.

04
Scout Harvester

Systematic capture of opportunities from across the organization.

05
Governance patterns

Controls embedded in delivery rather than applied at review.

06
Architecture and quality standards

The bar that every initiative is built against.

07
Training

Capability transfer into your teams as part of delivery.

08
Adoption

Getting the model used, not just documented.

How it spans the system

One set of rules across every component.

The Operating System governs the other three. Opportunities are captured and decisioned, work is routed to the right pathway, delivery runs against standards, and production learning feeds the next cycle.

01
Capture

Scout Harvester collects opportunities across the organization.

02
Decision

Consume, Compose, or Build, with named decision rights.

03
Route

Work goes to the pathway that fits it.

04
Govern

Standards and controls apply inside delivery.

05
Measure

Production value, not activity.

06
Compound

Learning returns to the Portfolio Manager and the Foundry.

Own your AI

The operating model is designed to be handed over, not held.

Every consultancy leaves you owning the code it wrote. The reusable Boost components we bring transfer to you as well, so your teams can operate and evolve the capability independently.

One connected system

AI Delivery Operating System does not work alone.

The Operating System sets the decision rights and pathways. The Portfolio Manager governs the portfolio, the Foundry supplies reuse, and the Software Factory builds.

Do not start the next AI initiative from zero.

Combine forward-deployed healthcare teams with a reusable acceleration system that gets stronger with every engagement.