Private AI governance workflow
Logo Proposal Validation Agent
Krystian designed and shipped an internal logo-review workflow that moves clear cases in under one minute while keeping ambiguous decisions with reviewers.
Exact role
Senior Web Developer (AI product architecture and technical lead)
University of Arizona
Current status
Shipped internally
2024 - Present
Problem
What needed to change
Logo and brand proposal approvals were consuming reviewer time because submissions needed policy checks, judgment, drafted replies, and follow-up for unclear cases.
Users
Who the system serves
Brand reviewers, campus submitters, and marketing stakeholders.
Team context
Where I fit
Krystian owned inception, architecture, development, publishing, documentation, and coordination with brand reviewers, marketing stakeholders, submitters, and development partners.
Important technical decision
Combine deterministic policy checks with retrieved guidance and structured LLM output, then route unclear or sensitive cases to a reviewer.
Tradeoff or limitation
Speed is valuable only for clear cases. Ambiguous requests stay human-in-the-loop rather than forcing an automated answer.
Implementation
What I personally owned
- Owned project inception, architecture, development, publishing, documentation, and stakeholder coordination.
- Designed the AI review flow from submission intake through approve, deny, ambiguous review request, and clarifying follow-up.
- Coordinated across development and stakeholder groups as interest grew beyond the original reviewer.
Constraints
Hard parts that shaped the work
- Retrieval quality depended on the quality and structure of the policy source data.
- Discovered the request form itself had unclear fields and one question people often answered strategically just to move through the form faster.
- The workflow needed to improve routine review without automating ambiguous or policy-sensitive decisions.
Shipped result
What exists now
- AI review agent with approve, deny, ambiguous, and clarification paths.
- RAG and deterministic-policy checks with structured outputs.
- Channel notifications with approval and denial choices.
- Clarifying-question flow for ambiguous submissions.
- Tool calling to aid decisions as the system matured.
Result
Verified result and current state
- Clear cases can move through the workflow in under one minute.
- Ambiguous and policy-sensitive submissions remain with human reviewers.
Technical scope