Solutions · Use case
Onboarding & KYC remediation
Speed up onboarding work without letting an agent approve what a human should.
Relevant for Banking & payments
Typical agents
Onboarding, document-collection and remediation agents
Systems touched
Customer records, KYC case management, account opening
Who approves
Onboarding, compliance and financial-crime teams
The risk
What can go wrong
Agents that gather documents, update records and propose approvals take load off operations teams — but account approvals, limit changes and remediation decisions are exactly where examiners expect human judgment and a record.
Approvals without judgment
An agent that can draft an approval can often submit it. Account openings and limit raises then happen without the human review examiners expect.
Customer data leaving the boundary
A broad read or an export to the wrong place moves sensitive identity data where it should not go.
Remediation that cannot be evidenced
Cases are closed in bulk, but the file does not show who decided each one or why.
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 |
|---|---|---|
| Request missing documents | Allow | Requesting documents changes nothing consequential. |
| Update customer record from verified data | Allow | The update comes from data that has already been verified. |
| Approve a new account or raise a limit | Require human approval | Opening an account or raising a limit needs a person to decide. |
| Close a remediation case | Require human approval | Closing a remediation case is a judgment call for a reviewer. |
| Bulk export of customer data | Escalate | Bulk movement of customer data is unusual and goes to a person. |
Illustrative. Outcomes follow your policies and thresholds.
One action, end to end
A limit raise during onboarding, end to end
What happens between the moment an agent decides to act and the moment your system changes. Figures are illustrative.
- 1Agent
An onboarding agent has gathered documents and proposes raising a new customer’s daily limit.
- 2GREENLIGHT
Raising a limit is consequential, so the decision is require human approval, with the customer context attached.
- 3Reviewer
A compliance reviewer, not the person who owns the case, checks the file and approves it.
- 4GREENLIGHT
The approved change is released once, and only that change.
- 5Logbook
The file now shows who approved the limit, when, and under which rule.
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 for account approvals, limit changes and data handling.
Define what agents may doDecide
Reads observed; bulk or outbound data movement flagged.
Evaluate every consequential actionEnforce
Approvals routed to a reviewer with separation of duties.
Act on the decision — and only on the decisionEvidence
A record of who approved what, and why, for every file.
Prove what happened, to anyone who asks
The difference
Without GREENLIGHT, and with it
| Without a decision point | With GREENLIGHT | |
|---|---|---|
| Opening an account or raising a limit | Possible for any agent with write access | Always decided by a reviewer, with separation of duties |
| Bulk reads and exports | Invisible until someone audits access logs | Observed, flagged and escalated as they happen |
| Remediation evidence | Case notes and spreadsheets | A decision record for every file |
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 Onboarding & KYC remediation 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.







