- Problem
- Every AI and technology request entered a single sequential queue. Average end-to-end approval: 17 weeks. No SLAs, no routing logic, no visibility. A low-risk licence renewal followed the same path as a high-risk external AI deployment, and the organisation was slowing its own AI adoption while believing the reviewers were the constraint.
- Solution
- Analysed 4,583 historical submissions across 425 data fields alongside seven stakeholder shadow sessions. The data located the bottleneck upstream of the reviewers — requests idling while incomplete information was chased. Replaced one queue with three risk-tiered parallel paths, governed by a routing matrix carrying 12 tier rules and 25 conditions, seven team SOPs and four BPMN process maps, mapped to 36 regulatory and policy sources.
- Impact
- Controls strengthened rather than loosened — high-risk requests still receive all seven reviewing functions, now concurrently instead of in sequence.
Engagement in progress. The financial value case is under validation with the client and is deliberately not quoted here.