Need-to-Know Field Signals

Hide the reason, history and score behind the flag
Prove the handling tier you need (flagged / normal)

High-risk-customer handling, credit flags, two-person-rule triggers — circulate only the fact that a case applies, never the reason or basis. The underlying data stays with the back office (authorized staff); the front line acts on the mark, and the basis for issuing it can be proven after the fact for audit. Keep your existing customer management and blacklist sharing — add only a proof layer.

Retail & services · Finance & insurance · Public & infrastructure · Hospitality · Membership businesses 5 min read
🔔 Plan · Lemma Compliance →
01 · WHO IT'S FOR

For teams circulating risk flags to the front line

Resolve the bind between showing a flag's reason — inviting leakage and inconsistent judgment — and hiding it, leaving you unable to prove the flag was legitimate, by circulating only the fact that a case applies, without revealing the basis.

  • Retail & services, hospitality, and membership businesses running customer-handling flags (customer management, blacklist sharing)

  • Finance & insurance teams sharing credit flags, transaction restrictions, or high-risk parties with the front line

  • Public & infrastructure teams circulating risk signals such as two-person-rule triggers to the field

02 · THE SHIFT

Hand over the source, or just the facts?

Change what reaches the AI, and the leakage risk goes with it.

Without Lemma
Hand over the original
customer_id:
C-9847
name:
Taro Yamada
flag_type:
flagged
flag_reason:
3 prior complaints / abuse history
score:
8/10
assigned_by:
Mgr. Tanaka
↓ all of it goes to the AI / outside
With Lemma
Hand over just the facts
holder:
did:lemma:customer-C9847
issuer:
did:lemma:org-acme-frontdesk
jurisdiction:
JP
licenseType:
customer-handling
disclosed:
[handling_tier]
hidden:
[reason, score, history, assigner_id]
handling_tier:
flagged
ZK verified:
✓ VALID
↓ only the necessary facts to the AI

The front line receives only a "handling category" (flagged / normal) as a proof — never the reason or history. The basis is viewable via selective disclosure by authorized staff (e.g. managers) only, and who set the flag, when, and on what basis stays tamper-proof as provenance.

The front line not holding the reason is itself need-to-know minimization — reducing leakage and inconsistent judgment. And later, against complaints, subject-access requests, or audits, "the flag was legitimate" can be explained while opening the basis only as needed.

  • The front line sees only the mark (the details stay on the org side via selective disclosure)
  • At audit time, the basis for issuing the mark can be proven after the fact
  • Your existing customer-management system stays as-is — you add only the proof layer

(A lawful operating design — flagging criteria, subject notification, retention — is assumed; we design this separately with legal.)

See the technical details ↗
03 · HOW TO CHOOSE

Choose on three criteria.

Only work that needs all three at once — pass without exposing, independent verification, tamper-proof — is Lemma's domain.

Method Pass without exposing Independent verification Tamper-proof
Access control only
Masking / anonymization
Encryption only
Monitoring only
Lemma (ZK proof)the only one with all 3
04 · HOW IT WORKS

What's next

We enter through AI-adoption and data-governance support and a PoC, and stay alongside you through to operations.

  1. A 30-minute review — identify flag operations where reason-disclosure risk and key-person dependence concentrate.
  2. Narrow to 1–2 handling categories to prove — e.g. "flagged," "normal." Reasons/history never reach the front line.
  3. Design disclosure scope and provenance — front line / authorized / audit disclosure levels, criteria, subject notification, retention (with legal).
  4. Prove one path via a (quote-based) PoC — confirm it works at one site.
  5. Hands-on support from rollout through operations — existing plan tiers (Civic / Critical / Compliance) serve only as a cost reference; the setup and pricing are designed together.

Tell us the one customer-handling flag where reason-disclosure risk is heaviest, in the first 30 minutes. No disclosure of sensitive data required.

The bigger picture

The bigger picture this use case belongs to.

We map use scenarios across industries and workflows by the four axes.

See use scenarios for Regulatory Attribute in Solutions →

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Run it yourself.

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Learn how it works — Regulatory Attribute Proof →