Implementation guide
Turn Random Requests into a Prioritized Roadmap
Detailed training workflow for Turn Random Requests into a Prioritized Roadmap in Playbooks: Core Systems.
playbookintakeprioritizationworkflowtutorial
Guided walkthrough
The Problem: teams submit ad-hoc AI ideas with no shared criteria, so high-value work gets buried. Collect Requests Use one intake form for business outcome, frequency, and current effort. Score Each Request Use Impact x Frequency x Feasibility as a simple first model. Assign a Tier Tier 1: build now. Tier 2: backlog. Tier 3: reject or revisit after prerequisites. Publish the Queue Maintain a visible queue with owners, due dates, and status.
Advanced implementation notes
Enterprise Intake and Triage Model Standard Intake Schema Require baseline time, error rate, volume, sensitivity, and dependencies. Weighted Scoring Use weighted criteria: business impact 35%, effort 25%, risk 20%, change burden 20%. Dependency Graph Detect blockers like missing vault assets, missing APIs, or role permissions before approval. Review Board Hold weekly cross-functional review to approve, defer, or redesign requests. Lifecycle Tracking Track each request from intake to pilot to production with exit criteria per stage. Use Case Intake Fields
- Requestor: - Department: - Current process time (minutes): - Monthly volume: - Data sensitivity: Low / Medium / High - Human review required: Yes / No - Success metric: - Requested deadline: Kill Criteria Define kill criteria before build. If pilot quality stays below threshold after two revision cycles, close and re-scope.