Turn your onboarding methodology into an AI agent.

Mozi plans every case, coordinates documents and screening, resolves exceptions, and prepares evidence-backed decisions according to your institution’s rules.

Inspect the workspace

Every case gets its own plan—not another fixed checklist.

The agent interprets customer context against your rules, chooses the required checks, coordinates evidence, and updates the plan as findings change.

Abstract agent journey from institutional methodology through case planning, screening, evidence review, and controlled approval.
Onboarding AI AgentMethodology becomes an adaptive, governed case journey.

From institutional methodology to decision-ready case.

  1. ConfigureEncode client segments, jurisdictions, product requirements, screening sources, risk appetite, and approval rules.
  2. PlanBuild a case-specific investigation plan from the customer context, required documents, and applicable checks.
  3. InvestigateCoordinate screening and document analysis, reconcile findings, and pursue missing or conflicting evidence.
  4. DecideApply the methodology to produce a risk view, exceptions, and a cited recommendation for authorized approval.

Methodology as operating logic

Translate process, evidence requirements, decision thresholds, and escalation rules into the instructions that govern every case.

Screening and evidence orchestration

Bring approved screening data, documents, enterprise systems, and follow-up requests into one continuously updated investigation.

Customized decisioning

Combine customer context, policy, evidence, and risk signals to recommend a disposition with explicit reasons and exceptions.

Controlled approval and audit

Route each recommendation to the authorized reviewer and retain the methodology version, sources, tool calls, findings, and actions behind it.