Voxguard explainers

Make the risk legible before it becomes a story.

Short field notes for the people who own customer-facing AI: what to look for, how to explain the finding, and which response closes the loop.

See the operating plans

Field notes / 3 starting points

01
Hallucination / evidence
When a confident answer has no source behind it

A practical way to separate a useful answer from a polished invention, especially when the model sounds certain about account, policy, or product details.

Working takeaway

Trace the claim, not the confidence.

02
Off-brand / tone drift
The small tone shifts customers notice first

Spot the repeatable signals of voice drift — exaggerated promises, unnecessary urgency, and language that quietly breaks the brand guide.

Working takeaway

A tone rule should be observable in a transcript.

03
Response / operations
Turn a flagged turn into a closed loop

Map each finding to a proportionate response: block, rewrite, notify, or queue a source and rulebook review with a clear owner.

Working takeaway

The audit is only useful when someone knows what happens next.

Buyer FAQ

Start with the questions your risk review will ask.

Coverage, scoring, regulation mapping, onboarding, and pricing — in one place.

Read the FAQ