Governed AI · Product architectureArchitecture framework
Atlas EDGE
A reusable architecture for translating specialist judgment into grounded, governed, and adaptive intelligence products that can move from idea to production.
Outcome / decision impact
Created a reusable path from an ambiguous AI idea to build-ready specifications, accountable decision rights, evaluation criteria, and controlled production change.
7-stage intake framework4 connected design disciplinesGovernance designed into delivery
My contributionFramework author, product architect, governance designer, and creator of the supporting field guides and implementation artifacts.01 · Problem
The decision was obscured by fragmented evidence.
Expert knowledge is often implicit, fragmented, and difficult to operationalize. Atlas EDGE creates an architectural path from outcomes and workflows through data, governance, experience design, validation, and accountable delivery.02 · System
Designed as a decision surface—not a black box.
- Target-state architecture, reusable patterns, integrations, and security posture
- Decision rights, ownership, policies, controls, and human oversight
- Grounded data and knowledge with visible source-to-output lineage
- Evaluation scorecards, production runbooks, monitoring, and controlled change
03 · Trust boundary
What this is—and what it is not.
Representative implementation: the Spec-Driven Build Intake Framework turns an idea into build-ready specifications across seven connected stages. Evaluation is designed into the architecture through success measures, acceptance criteria, test scenarios, source grounding, safety and reliability checks, human review, monitoring, and continuous feedback loops.
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