Solutions
Decision Intelligence
Treat decisions as assets: designed, measured and continuously improved.
Overview
Decision intelligence treats a recurring decision, such as pricing, replenishment or credit approval, as a system with inputs, models, rules, owners and feedback.
We design these systems end to end, making the decision logic explicit, recording what was decided and why, and comparing results with expectations so the system learns.
Core components
Decision model
Explicit objectives, constraints, options and policies.
Evidence layer
Forecasts, scores and simulations that inform the choice.
Workflow
Review, override and approval steps assigned to named roles.
Feedback loop
Outcome capture and analysis of override quality.
How it flows
- 01
Inventory decisions
List recurring decisions and their economic weight.
- 02
Design
Model the decision and its evidence.
- 03
Deploy
Embed in workflow with logging.
- 04
Learn
Compare outcomes and refine policies.
When it fits
- Pricing, planning and allocation teams
- Functions with high-frequency repeated decisions
- Leaders seeking auditable decision processes
Considerations
- Requires clear decision ownership
- Incentives may need adjustment
- Override behaviour should be analysed, not punished
Frequently asked questions
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.