Minerva™ CRM governed customer ops

AI that governs customer actions and produces audit-ready evidence

Policy workflowsEvidence dossiersRBAC + SoDPrivacy-by-design

Convert inbound noise into governed cases: classification, routing, approvals, evidence packaging, and exportable decision records — designed for institutional control.

See governance demo Request pilot Evidence pack

Control loop

Ingest → Govern → Prove

A workflow engine that produces traceable actions and exportable evidence.

governed

Ingest

Normalize inputs into cases + evidence tasks.

Govern

Apply approvals, SoD, and SLA policy gates.

Prove

Export audit-ready dossiers with rationale and artifacts.

AI outputcase type • tasks • draft • escalation

policy version • reason codes • audit id • disposition

controlled

enterprise

Governed case decision

Action proposed •type: vendor due diligence

Ingest → classify → apply policy gates → emit next steps → assemble evidence.

~160ms

decision record

policy-gated

ingestsource

normalized + parsed

email + attachmentok

traceable

classifycase_type

policy-mapped workflow

vendor due diligenceok

traceable

governnext_action

approval packet prepared

request missing evidenceok

traceable

cycle

18h

measured end-to-end

sla

policy-driven priority

risk

medium

controls enforced

policy versionreason codesexportable dossier

Core capabilities

Operate at scale

Multi-tenant controls + monitoring.

What it does

Multi-tenancy + RBAC + least privilege.
Retention + minimization controls.
Monitoring + review queues + reporting.

Enterprise posture • configuration-driven • controlled environments

Open admin

Policy workflows

Approval gates, SoD, SLAs, exceptions.

What it does

Route by policy: priority, SLA, risk, ownership.
Enforce approvals + segregation-of-duties.
Track dispositions: approved, edited, rejected.

Versioned policy • reason codes • exception handling

View policy

Ingest → normalize

Connectors turn noise into structured inputs.

What it does

Ingest email, tickets, forms, and documents.
Normalize fields + link to obligations and entities.
Create a traceable case with required evidence.

Deterministic parsing • structured case model • evidence checklist

Open ingestion

AI governance primitives

Versioned policy + reason codes + dispositions

Every recommendation is recorded with policy/version, inputs, extracted fields, and outcome.

explainable