4 Strategy To Satisfaction AI Agents, Live in Production.

4 live agents automate strategy to satisfaction within customer service. 2 run on a schedule and 2 run on demand. Each one publishes the inputs it needs, the steps it works through and what it hands back.

  • Live

    Goodwill Decision Support

    Prepare a goodwill or credit request for the person who has to authorise it — what went wrong, what precedent exists, what the policy allows, and what the decision would set as a precedent.

  • Live

    Order Exception Handling

    Work out which delayed or blocked orders the customer needs telling about today, what to actually offer them, and which ones will resolve themselves before anyone notices.

  • Live

    Service Execution Check

    After a service action is completed, check the systems agree it happened — that the record, the entitlement and the customer's own view tell the same story before anyone calls it done.

  • Live

    Service Order Validation

    Check a service order against the contract it is drawn from before work starts — whether what is being ordered is covered, priced as agreed, and inside the entitlement the customer actually holds.

Telling the customer today only where telling them today helps

The satisfaction layer is where discretion lives, and discretion without structure produces inconsistency that customers notice. Goodwill is the clearest example: two customers with the same problem receive different outcomes depending on who handled it and what mood the week was in, and nobody assembles the precedent that would make the decision defensible — or notices that a particular decision is about to establish one. Proactive communication has the opposite failure: teams either say nothing about a delay until the customer asks, or notify on everything, including the delays that would have resolved before the customer noticed, which converts a non-event into a concern. And service work frequently starts before anyone has checked it is inside the entitlement the customer actually holds.

These agents supply the structure without taking the decision. Goodwill Decision Support prepares a credit or goodwill request for the person who has to authorise it: what went wrong, what precedent exists, what the policy allows, and what this decision would set as a precedent — the last being the consideration most often missed in the moment. Order Exception Handling works out which delayed or blocked orders the customer needs telling about today, what to offer, and which will resolve themselves before anyone notices. Service Order Validation checks an order against its contract before work starts: covered, priced as agreed, and inside the entitlement held. Service Execution Check then closes it afterwards by confirming the record, the entitlement and the customer’s own view tell the same story before anyone calls the work done.

What this moves

Proactive contacts that were worth making
Delayed orders needing a call today are separated from the ones that will resolve before anyone notices, so proactive contact does not manufacture concern.
Consistency of goodwill decisions
Precedent, policy and what the decision would establish are assembled for the authoriser, so similar cases are not resolved differently by different people.
Work started outside entitlement
A service order is checked against the contract before work begins, catching what is not covered or not priced as agreed.

Customer Service

How AI agents handle strategy to satisfaction

Drawn from the 4 agents above — what they require, how they run, and what comes back.

What they need

  • The case for goodwill
  • Request details
  • Orders in exception
  • Handling rules
  • Completed service actions
  • Systems that must agree
  • Service order
  • The governing contract

What comes back

  • Recommendation Classification badge
  • Decision brief Written summary
  • What the decision turns on Breakdown table
  • What is actually established Verification checklist
  • What this would set as precedent Flagged exceptions
  • To the approver Message preview
  • Policy and precedent used References
  • This batch Metadata grid

How they run

Run on demand
2
Runs on a schedule
2
Steps per run
3–4
Credits per run
7–8
Use a knowledge base
1

Where strategy to satisfaction fits in customer service

Most tickets are about one customer’s specific order or account. An agent that can read that state actually fixes the problem, instead of replying with a help article the customer already found.

All 39 customer service agents

Next Step

Deploying strategy to satisfaction agents

These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.

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