Shared finance AI foundation

Project Description: Configure one approved AI product with shared access controls, document retrieval, logging and evaluation. Finance applications reuse these services; application teams supply their own content, data mappings and workflow tests, while central owners maintain the shared setup.

Implementation effort

128–456staff hours total

Current workload

—staff hours / month

Net time saved

—staff hours / month

Project difficulty

Moderate

Implementation work

Set access rules and ownership24–72h
  • Agree permitted actions and two role boundaries for one approved AI product.
  • Assign ownership and escalation for shared services, evaluation results and incidents.
Sources
Connect identity and shared sources24–80h
  • Connect one identity provider and the source-access services supported by the selected product.
  • Verify role filters and logging inputs before applications use the shared services.
Sources
Configure shared retrieval, tracing and evaluation32–128h
  • Configure reusable permission checks and response tracing using the vendor's hosting and model services.
  • Set up shared evaluation tooling; keep application-specific content, mappings and tests in their own projects.
Sources
Test permissions and failure handling32–112h
  • Run 30 shared evaluation cases covering restricted access, escalation and failures.
  • Correct shared configuration defects and retest before handing services to application owners.
Sources
Hand over operations and change control16–64h
  • Assign support and incident owners; document how shared configuration changes are approved.
  • Train application owners to use the shared services and report failures.
Sources

Ongoing work

Maintain shared services and governance24–96h / yr
  • Review shared access, incidents, logging and capacity; maintain support ownership and approved configuration.
  • Rerun shared regression checks after product or configuration changes. Application-specific review and upkeep stay with each application.
Citations
Further projects
  • Reuse the approved shared services when adding finance AI applications.
  • Expand source coverage or access roles with additional permission and regression tests.

Organization assumptions

Organization size

Estimated finance staffing: ≈19 FTE

Workload estimatesAvg. staff hours/month
Changes across projects
How adjustments work
  • Existing systems, data, procedures and skills change the implementation tasks.
  • Workflow automation and exceptions change the current workload and potential time savings.
  • Adjustment sizes are planning assumptions. Case-study results stay unchanged.
  • Shared setup is counted once on the shared foundation project; upkeep remains.
View assumptions and task mappings ↗