Alert Received
Record the approved source, time, reason, and existing risk context.
Banking · Fraud And Financial Crime Operations
AI Fraud Investigation Software For Banking Teams
Turn scattered bank fraud alerts into connected evidence, clear timelines, assigned tasks, and review-ready cases.
Mimasa AI helps investigators enrich alerts and understand related activity. It works with existing detection systems while authorised teams retain control of every outcome.
Connect approved customer, account, transaction, device, merchant, alert, and case data within one governed workflow.
Zone 01
Alert Received
Record the approved source, time, reason, and existing risk context.
Zone 02
Context Gathered
Retrieve permitted customer, account, transaction, device, merchant, channel, and prior-case information.
Zone 03
Connections Mapped
Show related people, entities, accounts, events, and identifiers in a reviewable relationship view.
Zone 04
Case Reviewed
An investigator checks evidence, records findings, assigns actions, and routes sensitive decisions.
One Alert, Four Zones01 02 03 04
Follow One Alert Through The Investigation Room
Context Gathered
Retrieve permitted customer, account, transaction, device, merchant, channel, and prior-case information.
Connections Mapped
Show related people, entities, accounts, events, and identifiers in a reviewable relationship view.
Case Reviewed
An investigator checks evidence, records findings, assigns actions, and routes sensitive decisions.
The alert starts the investigation. It does not decide the outcome.
Clear Boundary
Detection Finds A Signal. Investigation Builds The Case.
AI fraud detection can identify patterns, anomalies, or events that may need attention. Banking fraud detection systems may score transactions or take permitted real-time actions.
Mimasa focuses on the investigation layer around bank fraud alerts. Investigators still control evidence, conclusions, escalations, customer-impacting actions, and case closure.
| Capability | Primary Owner | Mimasa Role |
|---|---|---|
| Real-time transaction scoring | Existing fraud or payment system | Receive approved alerts and scores |
| Native payment or channel control | Existing banking platform | Route a permitted action for approval or invoke an approved integration |
| Investigation context | Fraud operations | Gather and organise approved evidence |
| Relationship analysis | Investigation workflow | Connect relevant entities and activity for review |
| Case work | Investigation team | Coordinate tasks, findings, escalations, and approvals |
| Final disposition | Authorised bank employee | Record the reviewed decision and rationale |
Direct Answer
What Is A Fraud Investigation Workflow?
A fraud investigation workflow is the controlled path used to review a suspicious event. It covers intake, enrichment, analysis, evidence, collaboration, decisions, and closure.
Mimasa connects those steps across approved data and tools. Human investigators remain responsible for conclusions and customer-impacting actions.
Alert Triage
Triage Bank Fraud Alerts With Better Context
Not every alert needs the same path. Mimasa can enrich each alert with configured information before assignment.
The system may recommend a priority based on approved rules. An authorised employee can change it and record the reason.
- Alert source and trigger
- Customer and account context
- Transaction amount, time, and channel
- Device, location, merchant, or beneficiary details
- Related alerts and earlier cases
- Available risk or model outputs
- Missing information
- Suggested review path
- Current owner and service deadline
Relationship View
Reveal Hidden Connections With Fraud Link Analysis
Fraud link analysis connects people, businesses, accounts, transactions, devices, merchants, beneficiaries, locations, and cases.
Selecting a relationship should reveal its source and type. An inferred link must not appear as a confirmed fact.
- Customer or entity
- Account or payment instrument
- Transaction or transfer
- Device or session
- Merchant or beneficiary
- Address, phone, email, or identifier
- Alert or investigation case
Which accounts share a device or identifier?
Which beneficiaries appear across several alerts?
Does this event connect to an earlier case?
Which transactions form a relevant sequence?
Are several alerts part of one investigation?
Which links need further evidence?
The graph supports review. It does not prove fraud by itself.
Source-Linked Timeline
Build An Evidence Timeline Before Writing The Conclusion
Each event should link to its source. Missing periods should remain visible.
An AI-generated timeline must separate source facts from interpretations. Reviewers should be able to challenge both.
- 01 · Account or profile changes
- 02 · Authentication or device events
- 03 · Payment attempts and completed transactions
- 04 · Beneficiary additions
- 05 · Customer communications
- 06 · Alerts from connected systems
- 07 · Investigator queries and findings
- 08 · Requests for more information
- 09 · Approved actions and decisions
Fraud Investigation Software Keeps The Full Case Together
The workspace supports evidence, tasks, and decisions, not only a dashboard.
- Alert sources and related signals
- Customer and account context
- Linked entities and transactions
- Evidence files and source records
- Investigator notes and questions
- Assigned tasks and due dates
- Findings and unresolved points
- Review and escalation history
- Approved actions
- Final disposition and rationale
Each task needs an owner, status, priority, and deadline. Sensitive evidence follows role-based access rules.
Move From Notes To A Consistent Draft
Mimasa can organise approved notes, exports, evidence, and messages into a source-linked draft investigation report.
- Alert and case summary
- People, accounts, and entities reviewed
- Relevant transaction sequence
- Relationship findings
- Evidence considered
- Conflicting or missing information
- Investigator assessment
- Recommended next step
- Required review or escalation
- Decision and approval record
The investigator reviews and completes the report. Regulatory filing requires a separate approved workflow and authorised action.
Workload View
Use Banking Fraud Analytics To Manage The Workload
Banking fraud analytics can show queues, patterns, workload, and outcomes without exposing cases to unauthorised users.
Definitions depend on the bank's data and controls. Mimasa does not present invented results.
- Alerts received by source and type
- Alerts awaiting triage
- Cases opened, merged, escalated, or closed
- Queue age by team and priority
- Cases waiting for evidence
- Related alerts per case
- Investigation tasks due or overdue
- Case outcomes by approved category
- Reopened cases and review reasons
- Workload by investigator or team
- Common alert-to-case paths
- Data gaps affecting investigation
Controlled Agents
Add AI Agents Without Removing Investigator Control
AI Agents For Fraud Investigation
AI agents for fraud investigation can coordinate approved steps across data, tools, and teams. Each agent works within defined access and action limits.
Agentic AI fraud investigation means coordinated repeatable work. It does not mean agents independently conclude that fraud occurred.
Fraud investigation AI agents can prepare evidence and workflow actions for review.
- Monitor an approved alert queue.
- Gather permitted customer and transaction context.
- Search for related alerts, entities, and prior cases.
- Build a source-linked event timeline.
- Prepare a relationship map for review.
- Summarise case evidence and open questions.
- Create tasks and route them to the right team.
- Draft investigation notes and reports.
- Escalate cases under configured rules.
- Pause before sensitive or customer-impacting actions.
Banking Fraud Types
Apply The Investigation Room Across Banking Fraud Types
Payment And Transaction Fraud
Connect alerts with customers, accounts, beneficiaries, merchants, channels, devices, and transaction history.
Account Takeover
Review profile changes, authentication events, devices, sessions, payments, customer contact, and related cases.
Application And Identity Fraud
Bring together approved application, identity, account, device, and behavioural context. Keep identity checks with authoritative systems.
Mule-Account Investigations
Map relationships across accounts, beneficiaries, transactions, identifiers, and earlier alerts. Treat network links as evidence to review.
Insider Or Employee-Related Cases
Use strictly controlled access and follow the bank's investigation and employment policies.
Check, Card, And Digital-Channel Fraud
Adapt the same evidence, timeline, ownership, and approval pattern to the data available for each channel.
System Boundary
Fraud Analytics Software Or An Investigation Layer?
Fraud analytics software may detect anomalies, generate scores, or analyse patterns. Detection platforms may also act in real time.
Mimasa works around these platforms. It connects approved alerts with wider case context, tasks, evidence, and human decisions.
Difficult Cases
Design For Unclear Or Incomplete Evidence
- Alert source is unavailable
- Customer or account record does not match
- Transaction history is incomplete
- Entity relationship needs confirmation
- Earlier case access is restricted
- Evidence conflicts across systems
- Required task is overdue
- Reviewer disagrees with the prepared summary
- Customer-impacting action needs added approval
Each exception needs an owner, reason, evidence, status, and next step.
Start Focused
Start With One Alert Type
Begin with a defined alert source and investigation path. Choose a workflow with understood data, ownership, and decision rules.
- Step 01Select the alert type and investigation outcome.
- Step 02Map sources, fields, evidence, tasks, and authorities.
- Step 03Define access rules and customer-impacting action gates.
- Step 04Configure enrichment, links, timelines, and report sections.
- Step 05Test normal alerts, false positives, and complex cases.
- Step 06Compare prepared cases with investigator-reviewed outcomes.
- Step 07Validate audit records, permissions, and escalation paths.
- Step 08Expand only after the bank accepts the controls.
Security And Governance
Protect Sensitive Investigation Work
Fraud cases contain sensitive customer, transaction, identity, employee, and investigation data. Access stays limited throughout the workflow.
Mimasa supports cloud, private-cloud, and on-premise deployment. Banks decide which users and agents can access each source, case, tool, and action.
Discuss Security And Deployment Requirements- Role-based access control
- Case-level and source-level permissions
- Human approval checkpoints
- Limits on agent tools and actions
- Source-linked summaries and timelines
- Evidence and decision audit trails
- Separate access for investigation teams
- Configurable retention and integration patterns
- Governed datasets and reusable snapshots
Banking Fraud Investigation FAQs
Common questions about alert enrichment, fraud link analysis, investigation workflows, reports, agents, and human control.
Connected Platform
Related Platform Capabilities
Data Extraction
Extract configured information from investigation documents and evidence.
Data Transformation
Standardise approved alert, customer, account, and transaction data.
Data Governance
Control case access, datasets, permissions, and traceability.
Visualisation And Dashboards
Explore relationships, timelines, queues, and investigation measures.
AI Agents
Build controlled agents for alert enrichment and case preparation.
Agentic Workflow Automation
Coordinate tasks, escalations, reviews, and approvals.
Gosthi Collaboration
Keep investigators, reviewers, tasks, discussions, and case context together.
Related Paths
Continue From This Investigation Workflow
Banking
Explore governed intelligence and automation around existing banking systems.
Banking, Financial Services & Insurance
See the connected intelligence layer across BFSI.
Data & Decision Intelligence
Connect evidence, analysis, decisions, and controlled action.
Regulatory Reporting Automation
Coordinate regulatory reporting and compliance review after an investigation.
All Use Cases
Browse enterprise AI workflows by industry and function.
Build A Reviewable Fraud Investigation Workflow
Connect approved alerts, evidence, relationships, tasks, and human decisions in one governed investigation room.