The problems this exists to solve.
Built for enterprise AI.
How it works for your team, day to day.
PII protected at support scale
Customer identifiers, addresses, order data, and payment fragments are redacted inline across agent-assist and chat workflows. Resolution speed stays (the model works on the ticket, not the identity) and every redaction is recorded.
Controls that survive peak season
Enforcement is inline and invisible, so a seasonal hire on day one operates under the same guardrails as a five-year veteran: no training dependency, no browser-extension opt-in, no policy quiz. MDM pushes coverage to new machines automatically.
Keep AI out of PCI findings
Card-data classifiers block PAN and payment fragments from reaching AI tools, and controls map to PCI DSS 4.0 so your assessor gets evidence instead of assurances. Merchandising stays protected too: supplier terms, pricing sheets, and promo calendars are fenced from public models.
The questions we hear most.
How fast can seasonal staff be covered?
Coverage follows the machine, not the person: MDM pushes the extension at provisioning, and SSO group membership applies the right policy. A hire provisioned in the morning is governed by lunch.
Does this help with PCI DSS?
Yes. Card-data classifiers prevent PAN from entering AI workflows, and the enforcement evidence maps to PCI DSS 4.0 controls for your assessor.
What about multilingual customer data?
PII detection operates across major languages, so a support floor working in several markets gets consistent redaction behavior.
Can store and corporate staff have different rules?
Yes. Policies scope to SSO groups, so store operations, corporate merchandising, and the support floor each carry rules matched to their data exposure.