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Outcome Map: Workflow Builder & Work Charts

1. Desired Outcome​

Ops Managers and Business Analysts can visually construct, test, and deploy AI-powered Work Charts (workflows) in under 10 minutes without developer assistance. The Workflow Engine assigns tasks dynamically (AI vs Human) and produces structured job outcome receipts.

2. Success Measures​

  • Time-to-workflow: < 10 minutes
  • Non-technical builder rate: > 70%
  • First-attempt success rate: > 60%
  • Template adoption rate: > 40%
  • AI % Trend: Upward trend, tracked per stage

3. Roles (RACI)​

  • Ops Manager: Responsible (Builds the workflows visually, monitors executions)
  • Workflow Engine: Accountable (Executes the capabilities, assigns agents, scores confidence)
  • AI Agent: Consulted / Executes (Completes task steps assigned by Capability Matcher)
  • Platform Engineering: Informed / Consulted (Maintains the Skill Registry and platform infrastructure)

Questions​

Which outcome in the workflow and process mgt map is the leading indicator — the one that reliably predicts all others?

  • Which outcome is hardest to measure but most important to track — and what proxy metric comes closest?
  • If the primary outcome were achieved but secondary outcomes lagged, what would that signal about the system?
  • At what threshold does each outcome shift from "in progress" to "proven" — and who decides that threshold?