OUR MISSION

Measure Judgment.
Improve Decisions.

Daybreak exists to make planning judgment measurable so every cycle, every override, and every decision produces evidence that compounds.

Our Vision

A planning organization where judgment is an asset on the balance sheet, measured, governed, and compounding, not tribal knowledge that resets every cycle and walks out the door with turnover.

Decision quality doesn't
break from one failure.

It erodes across four structural dimensions.

Capacity
01

Decisions stall when
teams run out
of bandwidth

Specialization creates silos. Silos create coordination overhead. Adding headcount adds cost without adding coverage. The constraint is structural.

Measurement
02

Decisions can't improve
if they aren't
measured

Planning systems don't close the feedback loop. The forecast goes out, actuals come in months later, and nobody connects the intervention to the result.

Governance
03

Decisions fail
without explicit
boundaries

Governance in planning has meant approval chains and consensus meetings. When it feels like friction, teams route around it. Thousands of decisions per cycle, no audit trail.

Retention
04

Decision quality resets
when people leave

Planning knowledge lives in people's heads and spreadsheet overrides. ERP captures transactions. Nothing captures the reasoning. Every turnover cycle, the organization relearns the same lessons.

Our Values

Precision in Problem-Solving

First Principles

We clarify constraints and root causes before designing the operating model.

Our Value Image

FAQs

Frequently Asked Questions

How does Daybreak operate within existing infrastructure? -
Daybreak operates within your existing planning environment. ERP, WMS, and current tools remain in place. The shift is in who owns baseline decisions, not what software you run. A governed semantic layer connects to your data through standard connectors. Typical onboarding: 6-8 weeks to first governed agent deployment.
How long until teams see measurable results? +
In initial scoped deployments, teams have seen reductions in manual planning effort within the first planning cycle. Decision coverage expands from top SKUs to full catalog as agents earn broader governance scope, typically over 8-12 weeks. Timelines vary by category complexity and data maturity.
How is decision provenance handled? +
Every decision Dawn makes carries full provenance: the data inputs, features weighed, governance thresholds applied, and confidence level. Planners can inspect any decision and trace the complete reasoning chain. Every override is captured and scored against outcomes.
Who uses Daybreak day to day? +
Two personas. Planners (demand planners, supply planners, and S&OP leads) interact with Dawn through email digests, the DDS planning interface, chat, and Slack. Operators (ES engineers and system integrators) configure agent identity, train decision models, and evaluate agent performance behind the curtain.
FAQ Visual

Your ERP, WMS, and planning systems stay in place. Dawn connects through a governed semantic layer with standard connectors. No rip-and-replace. Typical time to first governed agent: 6-8 weeks.

First cycle: baseline decisions running under governance. By week 8-12: coverage expanding from top SKUs toward full catalog as agents earn broader scope through measured performance.

Every decision carries a complete trace: data inputs, features weighed, governance thresholds applied, confidence level, and outcome when actuals arrive. Planners inspect any decision in full.

Planners interact with Dawn through email digests, the DDS planning interface, chat, and Slack. Operators configure agent identity and evaluate performance behind the curtain.

Request a
Demo

See how governed autonomy works in your planning environment.

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