Catalog record · Operations & Efficiency
Stage as of source date not established · historical report, not live reconfirmation.
AI-assisted data reconciliation across legacy systems
Vendor workflow source. A reviewed supplier account names the customer and workflow. Supplier attribution and deployment claims are not independent outcome validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
First Citizens uses RPA and AI to extract, process and reconcile data across applications as part of its servicing-automation program.
- Reported stage
- Production
- Technology
- Machine Learning
- Business function
- Back Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Vendor explicitly attributes implemented reconciliation to RPA and AI. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Undated case. Evidence concerns cross-application data reconciliation, not specifically ledger close, cash settlement or control testing. AI contribution is not isolated from RPA.
Source register
- First Citizens Bank drives seamless automation with Pega RPApega.com · opens in a new tab
Pega · vendor-case · full-text · Publication date not recorded
Research lanes: fs_internal_functions_gap · Batch global-discovery-2026-10-26. Coverage and remaining gaps