01
AI-assisted
Scan for unusual variances
Surface changes that exceed agreed thresholds or break familiar patterns.
- Human owner
- FP&A analyst
- Risk signal
- medium
- Safeguard
- Show the source period, threshold, and underlying records.
Role 03 · Accounting, FP&A, treasury, and finance operations
Finance
Quicker analysis with traceable evidence and clear sign-off.
Adapt this role
The redesign premise
Use AI to scan, reconcile, summarize, and model. Keep material judgments, approvals, representations, and control ownership with qualified people.
Four tasks to examine first.
The lane is a starting recommendation. Consequence, evidence, reversibility, and local policy can change the right design.
02
Delegated + reviewed
Maintain the close checklist
Track evidence, dependencies, owners, and incomplete steps.
- Human owner
- Controller
- Risk signal
- medium
- Safeguard
- Require evidence before a task can be marked complete.
03
AI-assisted
Build forecast scenarios
Generate comparable cases from approved assumptions.
- Human owner
- Finance lead
- Risk signal
- medium
- Safeguard
- Expose assumptions and test sensitivity before use.
04
Human-led
Approve material representations
Accept accountability for externally or internally consequential numbers.
- Human owner
- Authorized finance leader
- Risk signal
- high
- Safeguard
- Retain independent review and documented sign-off.
Skills that become more valuable
Build judgment around the tool.
- 01Source traceability
- 02Model challenge
- 03Control design
- 04Scenario interpretation
A responsible first pilot
Learn before you scale.
- 1Choose one recurring variance or close workflow.
- 2Define materiality and escalation thresholds first.
- 3Measure time saved without weakening evidence or review.
Measure together
- Close time
- Unexplained variance
- Control exceptions
- Rework
Ground the conversation.
Task and occupation descriptions draw on O*NET. Governance and skill guidance is informed by NIST and the U.S. Department of Labor.
O*NET Database
Occupation, task, skill, work-activity, and work-context foundations
Open source ↗U.S. Department of Labor AI Literacy Framework
Foundational AI literacy content and delivery principles
Open source ↗NIST AI Risk Management Framework
Governance, oversight, documentation, and review practices
Open source ↗