AI customer service, one use case at a time

1. 1

   Answering a customer FAQ

   The simplest AI use case in customer service. Read the question, look up the answer, reply. No action taken, nothing changed. The old version was a scripted chatbot with topic branches; AI removes the branches.

2. 2

   Checking an order or account status

   One step up from an FAQ answer: the AI looks up a record in a back-end system, like an order or balance, and tells the customer what it says. The old version was an IVR phone tree; AI lets the customer ask in one sentence.

3. 3

   Updating a customer's address or detail

   The first step where the AI writes to a system instead of just reading. The old version asked one field at a time in a fixed order; AI reads the whole sentence and rearranges.

4. 4

   Processing a refund

   The first step on the ladder where money changes hands. The AI verifies, looks up the order, checks the policy, decides if the request qualifies, and processes the refund, end to end. The old workflow was a tree the customer had to climb.

5. 5

   Cancelling a subscription

   The AI identifies the customer, looks at their plan, optionally offers a genuine retention path, and if the customer confirms, cancels and confirms. Cancellation was the most hostile decision tree in customer service; AI removes the maze.

6. 6

   Replacing a compromised payment card

   An AI agent freezes the card, verifies the customer, orders the replacement, and offers transaction review. Action sequencing matters now: stop the bleeding first, then verify, then act.

7. 7

   Authenticating a caller and completing a transaction

   When the action is sensitive, identity verification has to be solid. An AI agent verifies the caller at the level the transaction requires and completes it in the same conversation. The old tree forced authentication first; AI does it as the action requires.

8. 8

   Handling a first notice of loss for an insurance claim

   A customer reports a claim. The AI listens to the narrative, extracts the structured fields, asks for missing pieces in plain language, and files the FNOL. The AI captures the claim; humans adjudicate it.

9. 9

   Routing across multiple AI agents

   One customer request, multiple specialist AI agents working together behind a single front door. The rung adds the seam-management problem: more agents means more places context can be dropped.

10. 10

    End-to-end resolution with policy checks

    At the top of the ladder, an AI agent handles a case from arrival to resolution, including the policy checks that used to require manual approvals at each gate. Human review is reserved for flagged exceptions.

11. 11

    Making proactive contact about an order or account event

    Until now the AI was reactive. Here it reaches out first: a delivery delay, an unusual sign-in, a maintenance window. The old model was a batch campaign by segment; the AI version is one customer at a time, when their specific situation warrants it.

12. 12

    Recovering from an AI mistake the customer is disputing

    The customer says the AI got it wrong. The AI reviews the audit log of its own earlier action, decides whether to reverse, escalate, or explain. The new ingredient: the AI is operating on its own past actions.

13. 13

    Carrying a case across channels

    The customer starts on chat, calls in an hour later, emails the next day. The AI keeps the case continuous across all three. The new ingredient: persistent case state with strong identity matching across channels.

14. 14

    Managing a complaint that takes weeks to resolve

    A regulatory complaint, a long dispute, a multi-party issue. The AI manages the case over weeks: scheduling follow-ups, chasing internal owners, updating the customer at the right cadence, escalating on SLA breaches.

15. 15

    Responding to a mass event (outage, recall, regulator notice)

    An event affects many customers at once. The AI notifies the affected ones, answers the common questions, captures reports, reserves humans for the cases that need them. The new ingredient: coordinated response at scale, in real time.

More steps coming. The ladder runs through refunds, cancellations, verification, multi-agent routing, and end-to-end resolution with policy checks.