Ryan McMillan — Technology & AI Leader
Practical AI systems
for regulated teams.
I lead technology at Corporate Central Credit Union, putting AI to work for regulated financial institutions — securely, usefully, in production. I also built Delega, a production coordination system for AI agents. Its public service is retired; the private deployment remains in active use.
20+ years in IT · Credit union technology · AI automation · Built and operated Delega
Beneath the surface
Agents can do the work.
They need somewhere to hand it off.
- 09:14:02task.created#0142 "summarize exam findings" — by ryan
- 09:14:07task.claimed#0142 → agent:claude
- 09:16:31task.delegated#0142.1 → agent:codex · context attached
- 09:21:54webhook.firedtask.completed → #0142.1
- 09:22:10task.completed#0142 — queued for human sign-off
Focus
The work connecting both worlds
Credit union technology on one side, the agent future on the other — and the same discipline applied to each.
- 01
Practical AI for credit unions
Secure, useful AI adoption inside regulated financial institutions — past the pilot, into production, with governance that holds up to examiners.
- 02
Agent governance and infrastructure
Production lessons from Delega: provenance, leased ownership, delegation chains, and explicit human control across sessions, tools, and machines.
- 03
Technology leadership
Modernizing systems, improving governance, and turning complexity into tools people actually use.
Selected work
Delega — accountable coordination for AI agents
I designed, built, secured, deployed, and operated a production coordination layer for agents working across sessions, tools, and machines. I retired the public service when the commercial thesis failed; the private deployment remains useful, and the engineering record is public.
Coordination
Atomic leases, recoverable ownership, and delegation lineage across agents.
Provenance
Untrusted ingress stays identifiable through automation-created children.
Human control
A narrow, single-use answer path distinguishes human decisions from agent claims.
Bounded systems
Roles, leases, cascade caps, and secret redaction constrain model authority.
Other selected work: Finch — AI speech-to-text for Windows · PitchTracker — youth baseball pitch counts and player safety
Writing & media
On the record
Credit union AI and security, plus the coordination layer agents need when they do real work.
- Jun 2026From Pilots to Production: A Practical AI Playbook for Credit UnionsDev.to · Article
- Mar 2026The Coordination Problem Nobody Talks About When You Give AI Agents Real WorkDev.to · Article
- Jan 2026Tech People in the Know: Corporate Central Credit Union's Ryan McMillanFinopotamus · Article
- Oct 2025Innovation, AI and the Future of Finance PanelCorporate Central Momentum 2025 · Talk
- Jun 2025AI: The New Guardian of Credit Union CybersecurityCUInsight · Article
- May 2024Corporate Central Welcomes Ryan McMillan Back as Technology Services DirectorCorporate Central · Article
- Jan 2022Session on Cybersecurity and Credit Unions Led by Emergifi's McMillanCUToday · Talk
- Oct 2019Corporate Central to Host First Ever Digital Marketing ForumCUInsight · Article
- Apr 2018Digital ID: Coming to a Credit Union Near You?CUToday · Article
Principles
How I work
- 01
Boring is a feature.
The best AI projects aren't flashy demos — they're the automations that make someone's Tuesday afternoon less miserable.
- 02
A pilot is 10% of the journey.
The other 90% is operations, governance, and change management. Budget for production or don't start.
- 03
Trust is the product.
In a regulated institution, security and member trust aren't constraints on the work. They are the work.
- 04
Agents do work. People own outcomes.
Automation should widen human judgment, not route around it. Every handoff ends in accountability.
- 05
Build the layer beneath.
Durable systems beat clever prompts. When the demo era ends, infrastructure is what's left.
Contact
Let's talk.
Open to speaking engagements and conversations about AI in regulated financial institutions — and about what agents need to do real work. The fastest way to reach me is a message on LinkedIn or X.
Milwaukee, Wisconsin · Credit union fintech by day · Baseball coach · Father of four