Solon · AI decision governance

Refund and exception decisions, made consistent

The same case gets a different answer depending on who is on shift. Solon makes the good call the standard call.

The drift problem

A carrier is late and the customer asks for a refund. One manager approves it. Another manager, on another shift, denies the identical case. Neither decision is wrong in isolation, and the business now has two precedents and no way to tell which one its policy actually holds.

What changes when precedent becomes policy

  • The first override is recorded with its context.
  • Repeats cluster, and Solon drafts the rule the team is implicitly already following.
  • The rule arrives as a pull request, reviewed like any other change.
  • Merged policy resolves the next case the same way, whichever manager is on shift.

What the team sees in week one

Escalation trends in a weekly review, the first proposed rules, and a policy repository that starts to read like the team's actual judgment instead of a document nobody opens.

Start from the runbook you already have

Most teams keep their exceptions in a spreadsheet, a help doc, or a manager's memory. Solon does not need a clean starting point. Point it at the workflow and let the overrides teach it.

Run a 30-day pilot

We deploy Solon against your refund or exception workflow. You bring reviewers; we bring the loop and the metrics.

Start a 30-day pilot

Free during the pilot · exit anytime · merging stays a human action

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