Ruvinen
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INDEPENDENT REVIEW FOR CUSTOMER-FACING AI

Find the
edge case.

We test customer-facing AI against the rules your business actually runs on. So the first person to find the bad answer isn't your customer.

Independent review of customer-facing AI before launch and after meaningful change.

01 / YOUR RULES02 / REALISTIC PROMPTS03 / EVIDENCE, NOT VIBES
WHAT YOU RECEIVE

Every finding
has a trail.

The review record links each finding to its reference, agreed test, observed answer and assessment.

REVIEW RECORD / STRUCTURE01 — 04
01REFERENCE

Approved source

The policy or source used for comparison.

02TEST CASE

Agreed scenario

A customer situation chosen for the review.

03OBSERVED OUTPUT

Recorded answer

The exact answer from the reviewed version.

04ASSESSMENT

Review finding

A comparison against the agreed rule.

THE WORK, IN THREE MOVES

Readable by
builders.

01

Agree the spec

We map the bot to the approved source, define what counts as correct, and write realistic test cases.

02

Run the cases

We record exact answers, compare them with the rule, and have a person review material findings.

03

Hand back proof

You get a concise evidence log and one bounded retest after your team makes changes.

THE FIRST ENGAGEMENT

One bot.
Twenty cases.
Clear findings.

A focused review for one customer-facing assistant and one use case. Built for teams preparing a client handoff, release, or meaningful bot update.

We confirm the scope, contracting party and fee in writing before work starts. Email hello@ruvinen.com.