Operational Decision Graphs
Make every decision path inspectable.
Decision graphs connect procedure, evidence, case patterns, exceptions and authority so an AI worker can explain how it reached a result and when it must stop.
The question
Can your team inspect the path from source evidence to the proposed action?
Evidence and rules connected
Exceptions represented
Authority made explicit
Changes versioned
A shared operating model
Move process knowledge out of prompts and into a governed structure.
01Prompts hide important assumptions inside text. A decision graph makes the operational structure visible: which records matter, which checks apply, which exceptions change the route and which role owns the final call.
02Each worker uses the approved graph as its operating context. New case knowledge can extend a branch without silently changing the rest of the process.
Graph lifecycle
Build the graph from real work and keep it under review.
The first version comes from procedure, practitioners and representative cases, then improves through controlled releases.
- 01
Map
Translate the approved process into evidence and decision paths.
- 02
Verify
Review the graph with accountable practitioners and process owners.
- 03
Evaluate
Replay representative cases and difficult exceptions.
- 04
Release
Approve the version used by the production worker.
- 05
Improve
Add reviewed case knowledge through a controlled change.
Graph governance
Keep operational meaning and approval ownership visible.
Every material branch can be traced to its source, reviewer and effective version.
Worker responsibility
Model what changes the decision, not every fact in the enterprise.
The graph stays focused on the process and the information needed to execute, review and improve it.
Evidence nodes
Identify approved records, observations and source hierarchy for the case.
Decision criteria
Represent the checks, thresholds and policies that change the route.
Exception patterns
Capture verified cases that show where the normal procedure stops fitting.
Authority edges
Connect decisions and actions to the role permitted to approve them.
Accountable role
Human judgement and approval
Decisions with material, regulated or professional consequences stay with the named accountable role.
Test whether the graph supports the work it represents.
Evaluate coverage and agreement on real cases before the graph directs production work.
- 01Case-path coverage
- 02Evidence coverage
- 03Decision agreement
- 04Exception recall
- 05Escalation quality
- 06Change failure rate
Choose your next question
Follow the decision into control and evidence.
Map one decision
Bring a process with difficult cases and a named owner.
We will identify the evidence, decision branches, exception patterns and authority needed for a first graph.