// product · v.2026
Retail decision intelligence Availability varies by product

Role in Valnative AI OS for Retail

Design decisions and guardrails

This is one component of the platform. A working product does not establish that every cross-product handoff or retailer integration is available.

Inputs and outputs

Inputs: Decision cases, business rules, constraints and outcome feedback.

Outputs: A governed settings package; runtime connections have their own readiness.

Problem & who it’s for

Organizations cannot automate decisions they have never made explicit. Decision logic lives in heads, spreadsheets and habit — unversioned, unauditable, impossible to hand to a runtime safely.

Offer & core workflow

BoardRA mines real decision behavior, turns it into explicit decision designs with guardrails, and compiles governed settings packages for the SHEPORD runtime — the bridge between how a retailer thinks and what the system executes.

What exists now

  • Design-time decision mining workspace and governance surfaces.
  • Settings-package candidate logic and governance surfaces.

Next milestones

  • Complete the production activation gate into SHEPORD with read-back.
  • Close the learning loop from RETILYX outcome facts into design iteration.
  • Automate intake of DecidRA decision instances.

Connections in the platform

Directional value exchanges with explicit implementation status, separating current capability from the roadmap.

Talk to us about BoardRA.

Bring the workflow, data and systems you have in mind. We can discuss current availability, an appropriate demonstration and the work needed to assess a fit.

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