Case State 01
Case Received
A customer submits an application and supporting documents through an approved channel. Mimasa creates a case and records the source.
Turn documents, customer data, required checks, exceptions, and approvals into one governed KYC onboarding workflow.
Mimasa AI helps banks automate intake, extract information, find missing items, prepare reviews, and coordinate approved account-opening steps. Human teams remain in control of compliance and customer decisions.
Built for retail, business, commercial, and wealth-client onboarding across cloud, private-cloud, and on-premise environments.
Onboarding Case
Business Account · New Application
Source Documents
4 received · 1 missing
Configured Checks
Provider response attached
Exception
Ownership evidence needs an authorised review.
Case State 01
A customer submits an application and supporting documents through an approved channel. Mimasa creates a case and records the source.
Case State 02
The workflow classifies documents and extracts required fields. It can compare repeated details across forms and supporting records.
Case State 03
Configured rules check required information. Missing, unreadable, or inconsistent items enter an exception queue.
Case State 04
The workflow can send permitted data to configured identity, screening, or verification providers. Those services return their own results and evidence.
Case State 05
Mimasa assembles the case, sources, exceptions, and provider responses for an authorised employee.
Case State 06
The bank completes its decision process. Permitted actions, comments, approvals, and timestamps remain available for audit.
One governed path replaces scattered emails, files, spreadsheets, and manual hand-offs.
The KYC onboarding process rarely depends on one document or one system. It crosses channels, identity data, forms, screening services, internal policies, and review teams.
Mimasa AI coordinates these steps as a customer onboarding workflow. Teams can act on exceptions without losing evidence or control.
KYC onboarding collects customer information, completes required checks, assesses exceptions, and supports an account-opening decision.
eKYC allows some or all of the process to occur through digital channels and electronic records.
Checks differ by jurisdiction, institution, customer, and product. Mimasa does not define those obligations. It helps banks implement their approved process across connected systems.
| Manual Pattern | Governed Automated KYC Workflow |
|---|---|
| Employees open and classify every file | Documents enter a configured classification workflow |
| Data is copied between screens | Required fields are extracted and mapped for review |
| Completeness checks vary by reviewer | Approved rules check required information consistently |
| Exceptions move through email | Cases enter a visible queue with ownership and status |
| Evidence is assembled at the end | Sources, responses, decisions, and approvals are recorded as work happens |
| Every case receives the same manual effort | Clear cases and complex exceptions follow different review paths |
Customer onboarding automation reduces repetitive coordination. It can support account opening automation without removing the bank's responsibility for final decisions.
Coordinate applications, identity documents, address records, consent, exceptions, and account-opening tasks.
Collect entity, ownership, authorised-signatory, business, and supporting information. Route complex ownership or missing evidence.
Bring together larger document sets, entity structures, agreements, approvals, and relationship-team tasks.
Coordinate client, suitability, source-information, mandate, document, and approval workflows while protecting sensitive records.
Retail Customer: Coordinate applications, identity documents, address records, consent, exceptions, and account-opening tasks.
Business And SME: Collect entity, ownership, authorised-signatory, business, and supporting information. Route complex ownership or missing evidence.
Commercial And Corporate: Bring together larger document sets, entity structures, agreements, approvals, and relationship-team tasks.
Wealth Client: Coordinate client, suitability, source-information, mandate, document, and approval workflows while protecting sensitive records.
Receive approved files, identify document types, and associate every item with the correct customer and case.
Extract relevant fields from structured and unstructured documents while retaining each source for review.
Compare configured names, dates, addresses, identifiers, and ownership details. Surface differences without silently resolving them.
Apply approved requirements by customer type, product, geography, or workflow stage.
Send permitted data to configured identity or screening services and record the returned status and source.
Create queues, assign owners, request missing information, set deadlines, and escalate unresolved cases.
Require authorised employees to review exceptions, risk signals, or final decisions before action.
Retain document sources, extracted values, provider responses, comments, tasks, decisions, and timestamps.
AI for KYC becomes useful when it coordinates work across several steps. Mimasa agents operate inside defined permissions and workflow rules.
Agentic KYC does not mean uncontrolled onboarding. People retain authority and accountability.
Automation performs best when designed for unclear cases, not only perfect inputs.
Each exception needs an owner, status, evidence, priority, and next step.
Missing required document
Needs ownerUnreadable or incomplete page
Needs ownerDetails differ across documents
Needs ownerProvider response needs review
Needs ownerCustomer type requires added evidence
Needs ownerApproval remains pending
Needs ownerCase exceeds its service deadline
Needs ownerOnboarding is not the end of the customer lifecycle. Information can expire, ownership can change, and policies may require periodic review.
KYC remediation automation can organise records, detect missing information, create review queues, and track completion.
Ongoing KYC monitoring automation can react to approved data changes or review dates. Mimasa coordinates evidence and tasks. The bank defines when review is required and what action follows.
Track the workflow with the bank's configured definitions. Do not confuse activity measures with compliance conclusions.
Metrics depend on connected data and agreed calculations.
Begin with one channel, product, or customer segment where rules and evidence are understood.
KYC cases contain identity, financial, ownership, and contact information. Access and action must remain controlled.
Banks decide which users and agents can access each source and action across cloud, private-cloud, and on-premise deployment.
Discuss Security And Deployment RequirementsCommon questions about KYC onboarding, eKYC, customer due diligence, remediation, providers, and human control.
Extract configured information from onboarding forms and supporting documents.
Coordinate tasks, checks, exceptions, systems, and approvals.
Use approved data and tools within defined permissions.
Control access, reusable data, permissions, and auditability.
Coordinate owners, reviewers, tasks, conversations, and shared context.
Monitor onboarding stages, exceptions, ageing, and workload.
Explore governed banking automation around existing systems.
See the connected intelligence and automation layer across BFSI.
Connect document intake, extraction, validation, review, and approved action.
Prepare source-linked banking records before authorised KYC and onboarding review.
Coordinate lending documents, exceptions, hand-offs, and authorised approvals.
Browse enterprise AI automation workflows by industry and function.
Map the documents, checks, exceptions, reviewers, and approved actions. Then test the workflow with human control intact.