AI agents speed banks’ response to regulatory change

AI agents help banks and financial firms respond faster after regulators issue new rules by collecting contract clauses, supplier records, financial entries and policy texts and linking them for specialists to review.

Regulatory changes can require work across finance, procurement, legal, human resources, operations and IT. Teams must identify which contracts and suppliers are affected, what reporting fields are required, whether processes or systems need updates, and what resource or cost implications follow. The main obstacle is the time needed to find and join information held in multiple systems and to coordinate follow-up work across functions.

In deployed workflows, agents ingest regulatory text and map it against a firm’s contracts, supplier lists and transactional data. The agents surface relevant documents, highlight likely points of impact and produce a ranked list of items for legal, compliance and finance teams to review. They do not replace expert judgement; they prepare and link the evidence that specialists use to make decisions.

Agents can also create and assign tasks, route issues to named owners, track progress against deadlines, and record decisions and evidence for later review. After teams complete reviews and make changes, agents can assist in producing the reporting outputs required by regulators and can maintain monitoring rules to flag related future changes.

Key stakeholders in these projects include compliance officers, general counsel, finance chiefs, HR and procurement leads, operations and IT managers, and senior executives who sign off on risk decisions. Implementations connect agents to source systems where contracts, supplier records and ledger data reside and operate under data governance and audit controls so outputs can be validated and inspected.

Technical and control considerations include secure access to multiple data sources, an auditable trail from rule identification to filing or remediation, and governance that defines when agents provide recommendations and when human approval is required. Change management is needed so teams accept agent outputs and translate them into timely actions and updated processes.

A typical end-to-end scenario starts with a regulator issuing a requirement. An agent ingests the rule, maps it to the firm’s contract and supplier universe, produces a ranked list of likely impacts, identifies reporting fields, flags contracts for review, estimates resource needs, assembles a cross-functional workstream, assigns tasks, records decisions and helps generate the final reporting submission.

A webinar in association with Workday will examine how AI agents can help organisations create coordinated responses to regulatory change. The panel includes Patrick O’Donoghue, Regional Sales Director at Workday, with Jane Cooper serving as moderator.