Using Decision Cases
A decision case is the unit of governance in DigitalCore. Every meaningful decision — risk mitigation, pricing, staffing, scope change, renewal response — runs as a case in the Decisions workspace.
A case is the single container for everything related to that decision: AI agent inputs, linked risks, issues to resolve, the decisions being made, follow-up actions, and one or more scenarios with options.
When a case opens
| Source | Example |
|---|---|
| Autonomous agents | A critical margin pressure or SLA breach signal opens a case automatically. |
| From a risk | A risk register entry is promoted to a case once an owner is assigned. |
| Manual | ”Should we lower rates on this engagement to save the renewal?” |
| From the assistant | The agent proposes opening a case after spotting a cross-domain pattern. |
What you do inside a case
- Review the AI agent inputs. For agent-opened cases, the working notes, matched signals, and suggested first action are already there. Accept, edit, or override.
- Check the linked risks. Severity, likelihood, mitigation status.
- Work the issues. Concrete to-dos that must be resolved before the case can close.
- Generate scenarios. Two to four options with assumptions and projected impact. See Scenarios in a Decision Case.
- Record the decision. Approve one option, decline the others, capture the reasoning.
- Apply. Push the chosen option into the live plan. Follow-ups are created automatically.
- Close. Review the outcome against the projection.
Lifecycle
Open → In review → Approved or Declined → Applied → Closed.
Approve and Apply are deliberately separate. Approval is a governance moment; Apply is a data moment. You can sign off in advance and apply on a future date. Each step writes to the activity log.
Outcome tracking
After the period closes, the case carries the projected vs actual impact. This feeds AI Use Cases so future scenarios are informed by what really happened.