Routine card disputes follow bank rules. Exceptions test the judgment of any system placed in front of them. This guide gives bank leaders evaluating vendors a short test for agentic AI for card dispute handling. It covers what an agent may propose and what bank policy must authorize. It also covers when a person steps in and what that person sees. For the full operational process and broad automation, read our guide to AI dispute resolution automation.
What does agentic AI for card dispute handling mean when a case is an exception?
An AI agent reads a case and proposes a next step. In an exception, the proposal carries the risk.
Authority is split at that point. The agent proposes within limits that bank policy sets. A person decides when policy says so. Ask each vendor to show where those boundaries sit in the product.
An exception is any card dispute where the standard path cannot settle the outcome. Evidence may conflict or information may be missing. Sometimes the facts allow more than one reading. Bank policy may also send a case to review by rule.
McKinsey's analysis of banking operations says capturing real value requires banks to move beyond pilots. Banks must rewire work, decisions, and delivery end to end. Exceptions are where that rewiring of decisions becomes concrete, so they deserve their own test.
Which card dispute exceptions need a human?
An exception becomes a human review case when bank policy says so. Policy defines the review triggers and the actions an agent may take. The examples below show how a bank might set those controls. They are illustrations, and each bank writes its own.
Conflicting evidence may need judgment. A cardholder says a charge was duplicated, yet the merchant record shows two separate items. Policy can send that conflict to a reviewer.
Missing information may first prompt a request. The cardholder describes a charge but omits the transaction date, so the agent asks for it. The case goes to a person if the request stays unanswered or policy requires it.
Ambiguity calls for a person when policy cannot resolve it. A charge could be a subscription renewal or a one-time purchase, and the records support either reading.
Explicit triggers are conditions the bank names in advance. Examples include an amount above a set limit, a fraud signal, or detected customer vulnerability. Backbase describes its Human Handoff Agent as escalating when judgment, approval, or exception handling is required.
Ask each vendor to show the configured trigger and the exact handoff state for every scenario.
How do you test exception handling in a vendor demonstration?
Stage the four scenarios live, using your own anonymized cases where policy allows. The table lists questions to put to the vendor. Treat each answer as something to see on screen.
For every row, ask the vendor to place the behavior on a scale from observe to act within limits. Then request two live changes:
- Raise or lower one threshold and show the new behavior without a rebuild.
- Reduce the agent's authority for one scenario and rerun the case.
What should a reviewer see when an agent hands over a case?
A handoff works when the reviewer can decide without redoing the agent's work. Ask the vendor to show each item below on the reviewer's screen:
- The agent's proposed outcome and the reason it stopped.
- The rule or trigger that sent the case to review.
- The evidence on each side of a conflict, with its source.
- The missing items, listed by name.
- The alternative readings of the facts.
- The authority limit that applied.
- The options open to the reviewer and what each one sets in motion.
Then ask where the reviewer's decision goes. A reviewable case keeps the agent's proposal and the human decision together, with the rule that applied.
What belongs on your card dispute decision checklist?
Score each vendor on these six points after the demonstration.
- Your policy defines each review trigger before configuration starts.
- The vendor shows an agent proposal for every scenario in the table.
- Operations or risk can change a limit or trigger without vendor engineering.
- The reviewer sees the full case package listed above.
- The bank can reduce or suspend agent authority for one scenario.
- Each case records the agent's proposal and the person who decided, with the rule applied.
How does Customer Operations fit?
Replace everything from "Backbase helps banks move…" through the platform explanation with the text below. The final sentence is kept from the live copy.
Customer Operations turns a customer's intent into a resolved outcome. From that intent it runs a customer resolution loop all the way to resolution.
Specialist agents in Customer Operations include:
- Policy Agent (rules, thresholds, eligibility, controls)
- Human Handoff Agent (escalate when judgment, approval, or exception handling is required)
Backbase Workspace: the employee surface (CSR workspace, RM workspace) where front- and back-office staff and agents do the work.
AI can reason. Banking OS makes it safe to act. The bank sets the autonomy level.
Run the table above on Backbase as you would on any vendor.
Where do I go for the rest of the evaluation?
- Agentic AI architecture for banks: how to review it before it acts covers the general architecture review.
- Agentic AI compliance in banking covers policy and evidence in more depth.
FAQs
What counts as a card-dispute exception?
A card-dispute exception is a case that meets one of four scenarios: conflicting evidence, missing information, ambiguity, or a policy-defined trigger.
Who sets the agent's authority?
The bank sets the autonomy level. Policy defines the triggers that move a card dispute to review.
When does a person review a card dispute?
A person reviews when judgment, approval, or exception handling is required. Policy defines the trigger for each scenario.
What should a vendor show at handoff?
Ask the vendor to show a handoff for each of the four scenarios. Check that the reviewer can see the evidence gathered and the reason for routing.
