AI Program Architect
Loren Cossette
Your organization doesn't need another AI vendor. It needs an AI lead.
I run production AI programs from inside organizations — architecting the systems, building the code, capturing institutional knowledge, and shipping outcomes weekly. Currently embedded as the AI lead for Multnomah County, running 5 production AI initiatives across accessibility, site intelligence, legacy modernization, and QA automation.
From the Multnomah County AI Program
Delivery Evidence
Dated record of what shipped
Production milestones, validation improvements, and shipped functionality across the Multnomah County AI Program and other work — dated and traceable to specific case studies. The same auditability standard the program maintains internally.
Impact
Numbers that matter
Independent Validation
Verifiable, not just claimed
Every metric on this site can be traced to a public artifact, an industry-standard validation engine, or an external audit. No testimonials. No hand-waving.
Independent PHP Audit · Xingwu
Cross-Validated File Classification
92.3%
agreement on 33,738 UUIDs
The File Intelligence Platform's six-bucket classification was independently audited by Xingwu's PHP-based site crawler against the same Drupal inventory. Result: 92.3% direct agreement across 33,738 file UUIDs, with reconciled deltas tracked month-over-month.
File Intelligence Platform
axe-core · Industry-Standard WCAG Engine
First-Pass WCAG 2.1 AA Compliance
95%+
first-pass axe-core score
Every A11yReady-converted document is validated through axe-core running real automated checks via Playwright in the production container — the same WCAG 2.1 AA testing engine used by accessibility auditors worldwide. Validation runs before any document reaches human review.
A11yReady
SME Review Queue · Deployed UI
Human-Validated Knowledge Capture
20+
SME-confirmed sessions
Subject Matter Experts confirm captured knowledge through the deployed review interface before it becomes authoritative for downstream agents. 20 SME-confirmed knowledge sessions and 32 tribal-knowledge questions answered in a single day prove the workflow operates end-to-end.
UCR Modernization
The Four Pillars
How I run an AI program
Architect & Build Production AI Systems
Multi-agent orchestration, LangGraph pipelines, RAG, Vertex AI / Claude / GPT routing — the systems other people put on a roadmap, I put into production. A11yReady (95%+ WCAG, 30s/doc) and File Intelligence (56K files nightly) are live examples.
Capture Knowledge Before It Walks Out
Retiring SMEs take decades of tribal knowledge with them. I build typed knowledge corpora, SME-confirmation workflows, and behavioral test suites that turn institutional memory into executable specs. UCR Modernization captured 704 SME sessions and 208 behavioral Playwright tests.
Modernize Legacy Without Breaking It
Multi-agent testing platforms that index legacy codebases, generate regression suites from captured knowledge, and watch for drift on every commit. Lets the modernized system prove behavioral parity before it ships — and gives leadership confidence to greenlight the rebuild.
Run the Program, Not Just the Build
Stakeholder hubs, dated activity feeds, ROI calculators, validation against independent audits, SME approval queues. I close the loop between technical work and executive trust — so AI initiatives stop dying in pilot purgatory.
About
I'm an embedded AI program architect. Currently the AI lead for Multnomah County, running 5 production AI initiatives across accessibility, site intelligence, legacy modernization, and QA automation — shipping features weekly with a dated public activity feed.
Multi-agent systems on Vertex AI (Claude, Gemini, GPT). LangGraph pipelines. RAG with pgvector. Behavioral test capture from retiring SMEs. Stakeholder hubs, ROI calculators, and validation against independent audits — plus executive training at UT Austin and Johns Hopkins and peer-reviewed AI research on the side.
Technology
The stack I ship with
AI / ML
Languages
Full Stack
Cloud / DevOps
Data
Work With Me
Ready to bring in an embedded AI lead?
If your organization is modernizing legacy systems, scaling AI safely, or staring down a compliance deadline — let's talk about whether embedded AI program leadership is the right fit. Engagements start with a 30-minute working session, not a sales pitch.