AI Agents in Banking, Finance and Insurance: Use Cases and Implementation
A transaction alert rarely provides a complete investigation. Analysts must connect customer history, counterparties, previous alerts, payment purpose and policy before deciding whether the case deserves escalation.
An alert begins an investigation; it does not complete one
A transaction alert rarely provides a complete investigation. Analysts must connect customer history, counterparties, previous alerts, payment purpose and policy before deciding whether the case deserves escalation.
Use an agent to assemble the changing case
An agent could assemble the approved evidence, test the alert against known customer behaviour, identify missing facts, draft the investigation trail and pause for analyst approval before any external report or customer restriction. The value comes from adapting the search as each fact changes the next question. A fixed route can collect standard documents, but it cannot decide which approved source should resolve an unfamiliar counterparty, ownership or payment-purpose conflict. The agent may prepare that enquiry; the analyst must decide what the evidence means.
A plausible transaction with an uncertain counterparty match
A transaction alert appears unusual for the customer, but the payment matches an approved seasonal contract and one counterparty name resembles a listed entity. The agent should assemble the history, preserve the name-match uncertainty and prepare the case. It must not close the alert or restrict the account.
Preserve evidence without exercising financial authority
The decision depends on application documents, customer records, transaction history, policy thresholds, analyst overrides and later loan performance. Every retrieved record and proposed conclusion should appear in the investigation trail with its source time and unresolved uncertainty. The agent must not file a report, restrict an account or close the alert. Those actions require the authorised financial-crime process and the accountable analyst.
Test the cases that create false confidence
Replay name collisions, legitimate seasonal changes, missing ownership evidence, duplicated alerts and transactions whose explanation conflicts with customer history. Record omitted material facts, unsupported escalation, analyst correction and any attempt to use a prohibited tool. A fluent narrative is a failure if it hides the uncertainty that the analyst must resolve.
Release only the preparation role
Limit the pilot to investigation preparation for one alert family. Compare analyst search time, missed material evidence, false escalation and correction. Keep reporting, restriction and customer communication outside the agent's authority. Management should approve one alert family and specify the records the agent may read, the drafts it may create and the conditions that force analyst review. Reporting, customer restriction and case closure should remain outside the released authority.
Judge the agent by analyst decisions and later findings
Compare analyst search time, material-evidence recall, false escalation, correction and later quality review with the current investigation route. Examine results by alert cause and customer type; an average time saving cannot justify a system that misses the rare case with serious consequence. Marketways applies Agentic AI Design and Deployment within banking and financial services.
The comparison should also distinguish evidence the agent found independently from evidence supplied by the alert. This reveals whether the agent improves investigation coverage or merely rewrites the initial signal in more persuasive language.