Decision Ownership

You don't have a planning problem. You have thousands of decisions nobody owns.

Every vendor sold you improved forecast accuracy. The forecast was never the problem. The problem is what happens after the forecast: thousands of decisions, made by overloaded teams, with no measurement, no memory, and no accountability for outcomes.

See Your Override P&L Talk to Our CEO

95% of AI pilots deliver zero measurable return MIT NANDA, 2025

78% say the problem persists despite advanced planning investment BCG, 2026

~50% of planning overrides move results in the wrong direction Measured across scoped deployments

Better forecasts won't fix a decision problem. Decision ownership will.

Override Rate

34%

Governed

72%

Value Add

+7.2%

In production with

Meet Dawn. She owns the decisions nobody else can.

You have thousands of decisions nobody owns. Dawn owns them. Governed, measured, auditable. Your team governs the exceptions where human judgment has the highest financial weight.

Dawn Owns the Baseline -
Exceptions Surface +
Planners Govern Exceptions +
Judgment Compounds +

Dawn makes governed decisions across thousands of SKUs each cycle, each with full decision provenance. The cost per decision falls as coverage expands.

When risk thresholds are crossed or governance boundaries are reached, items surface for planner judgment, protecting margin where governed autonomy reaches its scope limit.

Planners focus where their judgment has the highest override value-add, on the critical exceptions, not on every SKU.

When actuals arrive, every decision is measured against results. Override effectiveness becomes visible, and value leakage from poor interventions becomes quantifiable on the P&L.

Dawn Owns the Baseline

Dawn makes governed decisions across thousands of SKUs each cycle, each with full decision provenance. The cost per decision falls as coverage expands.

Exceptions Surface

When risk thresholds are crossed or governance boundaries are reached, items surface for planner judgment, protecting margin where governed autonomy reaches its scope limit.

Planners Govern Exceptions

Planners focus where their judgment has the highest override value-add, on the critical exceptions, not on every SKU.

Judgment Compounds

When actuals arrive, every decision is measured against results. Override effectiveness becomes visible, and value leakage from poor interventions becomes quantifiable on the P&L.

What changes when you start measuring the decisions, not just the math.

Our AI agents are not a feature upgrade. They're a new category of labor, and three things change immediately.

Daybreak didn't just improve the math. We changed who owns the decision, how it's measured, and whether the system learns from it. Agents own baseline decisions under explicit human governance, while your team governs the exceptions that matter. The result is planning productivity that scales with decisions, not headcount: lower safety stock, fewer expedites, freed-up cash.

Accountability

Every override has a paper trail. You know which interventions create value and which destroy it. Every override is scored against outcomes. In scoped deployments, forecast accuracy improves 7-9% vs. statistical baselines because the system stops repeating the decisions that don't work.

Autonomy

The ones that work are retained. Agents handle the volume. Your team handles the judgment. In measured deployments, 70%+ of the portfolio runs under governance without human intervention. Coverage expands without adding headcount.

Financial Impact

Judgment compounds instead of resetting every cycle. Working capital, margin, and service levels improve against your own pre-deployment baselines. Not a projection. Measured results in governed enterprise deployments. Numbers your board can read without modification.

5-15% Forecast accuracy improvement over customer baselines Every scoped deployment

70%+ Portfolio governed without human intervention Measured deployments

$7M+ Monthly working capital recovered Against pre-deployment baselines

If you can't score a planning override against its outcome, you're paying for judgment you can't measure.

Before you change anything, see what your planning decisions are actually costing.

These aren't products. They're diagnostic engagements that answer a question your leadership team is already asking, using your data, in days.

Override P&L

$35K · 10 business days

What are my planning overrides actually costing?

Every override from the last 6-12 months, broken into value-created and value-destroyed. Formatted as a financial statement.

Deliverable: Override P&L Statement, Decision Pattern Analysis, CFO Action Brief

$20K credits toward Capital Allocation Audit or Proof-of-Value

Capacity Investment Model

$25K · 7 business days

What are the economics of hiring vs. automating planning capacity?

Side-by-side economics of both paths, using your numbers. If hiring wins, we say so.

Deliverable: Side-by-Side Model, Sensitivity Analysis, Board-Ready Memo

$15K credits toward Proof-of-Value

Judgment Continuity Audit

$40K · 12 business days

What happens when my best planner leaves?

A dollar number on planning judgment risk that isn't on your risk register.

Deliverable: Judgment Concentration Map, Financial Exposure Model, Continuity Plan

$25K credits toward Capital Allocation Audit or Proof-of-Value

Or skip straight to a conversation.

Talk to our CEO

You don't have a planning problem. You have thousands of decisions nobody owns.

Meet Dawn. She owns the decisions nobody else can.

Meet Dawn. She owns the decisions nobody else can.

Dawn Owns the Baseline

Exceptions Surface

Planners Govern Exceptions

Judgment Compounds

What changes when you start measuring the decisions, not just the math.

Before you change anything, see what your planning decisions are actually costing.

AI is not a feature upgrade. It is a new category of labor.

Ready to see your numbers?