THE FRAMEWORK LIBRARY

Make the complex actionable.

Original models for the conversations, decisions, and working agreements that move enterprise AI forward. Not universal answers. Useful starting points.

FRAMEWORK / 001

Enterprise AI Delivery Model

One connected system. From strategic intent to an adopted, measurable enterprise capability.

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THE ENTERPRISE AI SYSTEMFIG. 01

Build. Prototype with real users, integrate real systems, and evaluate the solution in its actual workflow.

NOT A PIPELINE. A CONNECTED CAPABILITY.

FRAMEWORK / 002

Enterprise AI Squad Model

Business context, embedded engineering, and accountable ownership. Working together, not handing over.

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Direction & investment Evidence & decisions ↑

ONE SHARED BUSINESS OUTCOME

DOMAIN SMEs ↔ AI ENGINEERING ↔ END USERS

PlatformSecurityDataArchitectureGovernance

DSMaps workflows, qualifies the problem, aligns stakeholders, and connects engineering decisions to business value and adoption.

FRAMEWORK / 003

FDE Engagement Lifecycle

A short learning loop between the people doing the work and the engineers building the solution.

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BUILD → LEARN → REBUILD

Continuous evaluationProduction

Observe the actual work, including exceptions and workarounds.

FRAMEWORK / 004

AI Use Case Qualification Framework

Four lenses for deciding what deserves attention, what needs more evidence, and what should stop.

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FROM POSSIBILITY TO PRIORITY4 LENSES

Is the outcome worth changing?

A measurable baseline, a named beneficiary, and a credible benefit hypothesis.

FRAMEWORK / 005

AI Adoption Model

Technology, people, and workflow reinforce one another. Adoption is a system, not a training event.

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VALUE IS A SYSTEM PROPERTYNOT A FEATURE

TechnologyReliable & useful

PeopleAble & willing

WorkflowBuilt into the work

=Adoption &
business value

A weak link limits the whole system. Measure successful work, not just logins.