Your advisor answers are right on the day you publish them. Then a product field changes, a policy moves on, a new style rule arrives. Safe Guard checks your published BIQs in a scan against your product data and against your style rules, flags what drifts, and brings it into a controlled review. Nothing is ever changed automatically. You decide, you confirm.
Published BIQs do not break loudly, they drift. A product field gets maintained, a delivery time changes, a brand-voice rule is added. The answer stays live and confident while it slowly stops matching the truth. Without a review layer, the next one to notice is the buyer.
Against the product data from your shop system, is the statement still true? And against the style rules from your brand voice, does it still sound like your brand? Every deviation becomes a typed finding.
Compares every statement with the maintained product data, datasheets and policies from the shop system.
Finds claim drift, contradictions to the material, unsupported claims and stale statements, anywhere the answer and the source diverge.
Compares every answer with your style rules, the defined writing and brand voice.
Finds framing drift: promotional adjectives with no number, brand upgrading, overlong sentences, hedging on supported specs, violations of the brand voice.
Safe Guard sits between what you published and what you approved. It follows an answer through the flow, from the source to the logged correction.
"Check now", or an optional daily scan: each published BIQ is compared against product data and style rules.
Severity is a calm scale, Critical, Warn, Info, shown as a thin signal rail, never as an alarm. Compliance-relevant findings are referred to the Compliance Center, not decided here.
A statement no longer matches the source. The product field was maintained; the BIQ kept the old value.
Two published answers state different facts for the same attribute. One of them is wrong.
A statement with no approved material behind it, an answer without a sufficient source.
The answer violates a style rule, a promotional adjective with no number, brand upgrading, an overlong sentence.
The question needs a source that does not exist yet. It surfaces a content gap, not just a poor answer.
The answer rests on material that has changed since, once correct, now outdated.
The answer leans on a thin or ambiguous source. Worth a look before it reaches the buyer.
The answer touches a regulated or policy-bound topic. Safe Guard flags it and refers it to the Compliance Center, it does not decide policy itself. The finding waits for a ruling.
It detects, flags, prioritizes and suggests, then it stops. Even "Fix the issue" is a controlled step: the server rewrites, checks again, and retries on residual errors up to 3 times. It goes live only after your confirmation.
They are easy to confuse and they work as a pair. The Compliance Center is the ruleset, sources, brand voice, policies, approvals. Safe Guard is the operational quality net, it watches concrete published answers and checks them against that ruleset and the material.
Concrete published BIQs, checked on every scan.
The policies, voice and approvals that Safe Guard checks against.
Safe Guard reports the operational state of your review queue, verifiable counters, not headline promises. The values below are illustrative until they are connected to your account.
Numbers like median handling time or claims corrected are reported only once Safe Guard has run a full review cycle on your data, not as a promise up front. The counters above are operational state; outcome metrics follow real usage.
Point Safe Guard at your own published BIQs, product data and style rules. We run a first scan and walk through the findings together.