Enterprise intelligence · Agentic systemsPublic demo · private production
Atlas Intelligence Enterprise
An evidence-grounded program intelligence workspace that turns fragmented project artifacts into decision-ready intelligence through a coordinated network of specialist agents.
Outcome / decision impact
Made executive-readiness questions answerable from source-linked evidence instead of fragmented program artifacts, with clear escalation paths when the evidence is incomplete.
10 specialist agents5 decision workflowsSource-linked findings + audit history
My contributionProduct strategy, agentic system architecture, governance and safety design, and enterprise experience design.
01 · Problem
The decision was obscured by fragmented evidence.
Consequential program decisions are often spread across charters, status reports, decision logs, governance commitments, and institutional knowledge. Atlas Intelligence Enterprise creates one traceable workspace for finding what changed, why it matters, and what needs attention next.02 · System
Designed as a decision surface—not a black box.
- Ten specialist agents coordinated through typed schemas and a shared orchestration layer
- Five intelligence workflows spanning executive readiness, status interrogation, decision provenance, invisible work, and governance
- Evidence search, source-linked findings, scenario snapshots, audit history, working notes, and exports
- Separate public and private runtimes with deterministic synthetic data and zero live AI calls in the public demo
03 · Trust boundary
What this is—and what it is not.
Role: product strategy, agentic system architecture, governance and safety design, and enterprise experience design. The public Meridian workspace is fictional, deterministic, and designed for safe exploration; the private application retains evidence ingestion, persistence, agent orchestration, and optional model-backed analysis.