Solutions · Use case
Customer operations
Let service agents update records — and stop the changes that matter from slipping through.
Relevant for Insurance, Capital markets & wealth
Typical agents
Service, retention and back-office agents
Systems touched
CRM, customer records, billing and account platforms
Who approves
Service team leads and fraud operations
The risk
What can go wrong
Service agents update CRMs, change customer details and close accounts. Most changes are routine; a few — closures, contact-detail changes, discounts — are where fraud and mistakes cost the most.
Account takeover through the back office
Changing the phone number or email used for verification is the first step in many takeover attacks. An agent can be talked into it.
Small changes that add up
Discounts, waivers and goodwill credits are each small, but agents can apply them at a volume no team would.
Irreversible actions
Closing an account or deleting a record cannot simply be undone if the agent misread the request.
Typical decisions
How GREENLIGHT typically decides
Each action an agent proposes gets one of four outcomes, with a reason a reviewer and an auditor can read.
| Agent action | Typical outcome | Why |
|---|---|---|
| Add a note to a customer record | Allow | A note on the record is low-risk and reversible. |
| Apply a discount within policy | Allow | The discount is within the policy limit. |
| Change contact details used for verification | Require human approval | Verification details protect the account, so a person confirms the change. |
| Close an account | Require human approval | Closing an account is irreversible and needs a person. |
Illustrative. Outcomes follow your policies and thresholds.
One action, end to end
A change to verification details, end to end
What happens between the moment an agent decides to act and the moment your system changes. Figures are illustrative.
- 1Agent
A service agent, following a chat request, proposes changing the mobile number used for one-time passwords.
- 2GREENLIGHT
Verification details are protected, so the decision is require human approval.
- 3Fraud operations
An analyst checks the request against recent activity before deciding.
- 4GREENLIGHT
If approved, the change is released once; if rejected, it never reaches the record.
- 5Logbook
Either way, the request and the decision are on the record.
How GREENLIGHT governs it
Four parts of the platform, working together
Each part of GREENLIGHT plays a role in this use case. Follow a link to see how that part works.
Policy
Rules that separate routine updates from sensitive changes.
Define what agents may doDecide
Every write evaluated; routine work flows without delay.
Evaluate every consequential actionEnforce
Sensitive changes held for a reviewer.
Act on the decision — and only on the decisionEvidence
A full record of every change an agent made.
Prove what happened, to anyone who asks
The difference
Without GREENLIGHT, and with it
| Without a decision point | With GREENLIGHT | |
|---|---|---|
| Changes to verification details | Made by any agent that can edit the record | Confirmed by a person before they apply |
| Goodwill credits and discounts | Visible only in month-end reports | Checked against limits on every action |
| Account closures | Executed on the agent’s reading of the request | Held for a person, with the reason recorded |
Rollout
Start in shadow, enforce when you are ready
For this use case, as for every other, GREENLIGHT starts by watching. Nothing is blocked until you decide it should be.
Shadow
GREENLIGHT evaluates every action and records what it would have decided. Nothing is blocked, so you can measure before you change anything.
Advisory
Decisions are returned to the agent and to your teams as recommendations, and policies are tuned against real traffic.
Enforce
Holds and blocks are switched on workflow by workflow, starting where the risk is highest and the evidence is clearest.
Get started
Start with this workflow.
Bring one Customer operations workflow into GREENLIGHT in shadow mode. We will show you what it would decide on your real traffic, then agree with you when to enforce.







