Brittaney Perry-Morgan
AI engineer and enablement strategist with 8+ years building technical systems at enterprise scale. I design and ship AI tooling, agent architectures, RAG pipelines, and automation workflows — and build the frameworks that make adoption stick across large organizations. Currently leading AI engineering work on a 40,000-employee AI initiative while running DEVCNX independently.
Systems over sentiment.
DEVCNX audits, optimizes, and documents operational systems so teams stop repeating work.
The work sits at the intersection of project management, AI enablement, automation, training, and technical documentation. Engagements are built to transfer: the system should run without creating long-term dependency.
How the work runs
Build it. Transfer it. Exit clean.
- Audit — Identify what is actually happening, not what the documentation claims.
- Prioritize — Sequence quick wins first, architecture second, novelty last.
- Build — Ship workflows, automations, documentation, training, or implementation support.
- Transfer — Package the system so the operator, team, or client can run it without dependency.
- Exit — Leave the system operational, documented, and ready for use.
Why DEVCNX exists
Most teams have a systems problem before they have a tooling problem. Processes live in someone’s head. Platforms sit underused. AI adoption stalls after launch because nothing about how the team works actually changed.
DEVCNX closes that gap — with workflow audits, automation builds, AI adoption frameworks, and documentation that makes the work repeatable without creating long-term dependency.
Ready to build something that works?
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