Humans override every plan. Nobody measures the cost. Daybreak's AI labor owns the baseline and routes the calls that matter. Each one stays yours to override, reasoning attached.
Anonymized illustrative scorecard. Your scorecard reads from your override logs and outcomes.
What follows traces one of them, start to finish.
Validates source data, structures planning inputs, and flags integrity issues.
Makes repeatable planning decisions under policy, with reasoning and guardrails attached.
Review financially material decisions and add judgment where it can change the outcome.
Sunscreen SPF 50, 8 oz. Phoenix DC to Target West. Week 16, 2026. Five moments, from Monday morning to the outcome scored three weeks later.
Sol validates source data, structures planning inputs, and flags integrity issues before Dawn touches the decision.
Screenshot: Sol's context-prep view, Monday 5:30 AM.
Dawn detects an early seasonal ramp and recommends 4,600 cases (+26%). Because the change exceeds the 20% stability threshold, the decision routes to review with reasoning, alternatives, and guardrails attached.
Screenshot: Dawn's decision view with stability-threshold flag, Monday 6:15 AM.
The planner reviews the exception: $118K revenue impact. They add two signals Dawn could not see: a Southwest heat wave and a Target endcap moving up one week. Their judgment improves the decision. Daybreak captures it.
Screenshot: Planner exception-review, Tuesday 8:45 AM.
The plan is submitted. The accepted recommendation, added context, and policy adjustment carry forward. The next cycle starts with more validated judgment than the last.
Screenshot: Cycle close with carry-forward markers, Friday.
Target sold through. Shelves stayed full through Memorial Day. Last year, the same SKU stocked out in six stores by Week 19. The override that caused it was never scored. This time, it was.
Screenshot: Scorecard at outcome, three weeks later.
Every cycle runs the same way, and two things compound.
More decisions run under policy without adding planner capacity. Your team governs the decisions with material financial impact instead of reviewing volume.
Every agent decision and human override is scored against actuals, so the overrides that helped and the ones that cost you both show up.
Compounded across a full rollout:
$7M per month in inventory reduction SC Johnson, North America implementationRuns on data you already have. The Override P&L diagnostic scores your override log and returns the net impact as a financial statement. Ten business days. Sixty minutes of your team's time.
For the operating-model thesis behind the diagnostic: Read the AI Labor Model →
Three controls make that real, enough to let the agents own decisions and prove every call under audit.
SOC 2 Type II · RBAC · SSO · encryption in transit and at rest
Your override log, scored against outcomes, as a financial statement. Ten business days.
The full operating model comes later, on your terms, only if the number holds.