Deal Governance Framework
A sample decision process that connects commercial flexibility with economics, approval authority and execution discipline.
6 min explorationExplore the thinking
AI-Native Smart Pricing
An illustrative pricing assistant that makes assumptions and tradeoffs visible while keeping commercial authority with people.
Illustrative sample designconcept · 6 min exploration
Illustrative sample content. Source material and role attribution are pending; this is not a claim of delivery or measured results.
- Problem
- A pricing recommendation is hard to evaluate when commercial context, economics and approval constraints are disconnected.
- Approach
- Bring approved evidence into decision support, expose assumptions and route exceptions to the right reviewer.
- Outcome
- Intended outcome: More transparent pricing recommendations and a clearer path to commercial approval. No measured results supplied.
- My role
- Attribution pending. Personal, leadership and collaborative contributions will be specified when the source artifact is supplied.
THE DESIGN IN DETAIL
How it works.
Try a pricing decision
Answer the questions to follow an illustrative review path. This is an educational example, not an authoritative pricing or compliance determination.
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Go deeper into the assumptions, decisions and controls.
Context
Illustrative design only. This sample is not a record of a deployed system, a completed engagement, or measured results.
Problem
Pricing depends on the offer, cost structure, customer value and authority to accept exceptions. A model-generated number does not resolve those decisions.
Design principles
- Expose assumptions alongside the recommendation.
- Keep approved sources and versions traceable.
- Use AI to support a decision, with a named commercial owner.
Decision support approach
The sample separates evidence assembly from recommendation and approval. Missing assumptions stop the flow rather than being silently filled in.
Key decisions
A standard proposal and an exception need different review paths. Actual pricing logic, economic models and approval thresholds have not been supplied.
Governance
The proposed assistant cannot commit a price or approve its own recommendation. A reviewer needs the supporting assumptions, applicable rules and proposed terms.
Implementation considerations
Confirm source ownership and pricebook versioning before designing integrations. Test the assistant on missing inputs and conflicting commercial constraints.
Business impact
The intended benefit is better-informed commercial decisions. No revenue, margin or cycle-time outcomes are asserted.