Structured complaint extraction
Turn a narrative into incident facts, relevant entities, amounts, and a timeline that officers can check.
Fraud Complaint Intelligence & Operations
From complaint to actionable case.
AI-assisted complaint intelligence, evidence preparation, and human-reviewed escalation for financial institutions.
A reviewable case, from one complaint.
DEMO · SOCIAL ENGINEERING
Awaiting officer reviewImpersonation and transfer complaint
Suggested classificationFraud / ScamSocial Engineering
Recommended urgencyCritical · Review requiredOfficer confirmation pending
Reported transferRp2.500.00020 May 2026 · 14:35 WIB
Reported recipientAsep · Bank XAccount 9876543210
Missing: reporter identity, source contact details, and supporting attachments.
AI recommends. An officer decides.Predefined output · No live inference
Product interface preview · Synthetic case · Predefined analysis
THE OPERATIONS CHALLENGE
Fraud complaints arrive as stories.
Investigations need structured facts.
Officers must read incomplete narratives, reconstruct timelines, identify relevant parties, request evidence, and prepare escalation materials. Important information can be spread across a single customer’s story.
Unstructured narrativesMissing evidenceUnclear timelinesAmbiguous indicators
PRODUCT CAPABILITIES
Structured information for
complaint review.
Signara helps financial institutions structure fraud complaints, identify relevant fraud indicators, prepare supporting evidence, and manage human-reviewed case escalation.
Fraud typology assistance
Surface potentially relevant patterns from the existing seven-typology framework, with supporting rationale.
Urgency indicators
Highlight information that may justify prioritized review. A recommendation remains separate from an officer’s decision.
Evidence checklist
Identify information already mentioned and evidence that still needs to be collected or verified.
Escalation preparation
Prepare a draft memo and downloadable evidence packet for manual escalation, including IASC-related preparation. No live regulatory integration.
Human review and audit trail
Officers can approve, edit, reclassify, or escalate and record the resulting decision and review history.
HOW IT WORKS
A clear path to a human decision.
- 01
Complaint Submission
Keep the original narrative and intake context.
- 02
Structured Information Extraction
Structure entities, transactions, and chronology.
- 03
Fraud Indicator Analysis
Prepare relevant typology suggestions and supporting rationale.
- 04
Evidence Preparation
Identify supporting information and evidence gaps.
- 05
Human Review
Check recommendations against the source complaint.
- 06
Escalation Decision
An officer approves, revises, reclassifies, or escalates; the action is recorded.
Human decision point
EXPLORE A REPRESENTATIVE CASE
See what an officer reviews.
Move from the source complaint to structured facts, indicators, evidence gaps, and the review controls.
Interactive product preview — synthetic data. All analysis is predefined; interactions here remain temporary.
Open the full synthetic dashboard ↗DEMO · SOCIAL ENGINEERING
Awaiting officer reviewImpersonation and transfer complaint
Original complaint · English translation of synthetic fixture
“Someone contacted me on WhatsApp claiming to be from OJK. They said my account would be blocked and asked me to transfer funds to a ‘safe account’. I transferred Rp2,500,000 to Bank X, account 9876543210 in Asep’s name, on 20 May 2026 at 14:35. The number could not be reached afterwards.”
The claim of institutional identity is part of the fictional complaint.
AI recommends. An officer decides.Predefined output · No live inference
WHO IT IS FOR
Built for financial institution
operations teams.
Regional banks
Help BPD complaint teams prepare structured fraud incident information for review.
Financial service providers
Support consistent intake and review of customer fraud reports across a PUJK operations team.
Fraud operations teams
Prepare case facts, evidence gaps, and draft escalation materials for investigation support.
TRUST & OVERSIGHT
AI assistance with
human accountability.
Signara supports investigators, compliance officers, and authorized decision-makers in preparing and reviewing cases.
Human oversight
An officer verifies recommendations and selects the final action.
Traceability
The workspace preserves source information, analysis, and recorded officer decisions.
Structured outputs
Two analysis stages use defined fields and deterministic validation.
Controlled workflows
Analysis completion does not automatically mark a case as reviewed.
Privacy-conscious workflows
Public demonstrations use synthetic cases. Production use requires a separate data-protection and security assessment.
No certification, regulatory approval, or live banking integration is claimed.
SIGNARA, BY SIGNUM
About Signara
Signara develops AI-assisted software for fraud complaint intelligence and operations. Our platform helps financial institutions transform unstructured complaints into organized case information, supporting evidence preparation, consistent reviews, and informed escalation.
Signara combines structured AI analysis with human oversight to support accountable and traceable complaint-handling workflows.
Developed bySignum
Designed forFinancial institutions
Our approachHuman oversight
Signara originated as an innovation project developed by Team Signum through BI × OJK DIGDAYA 2026, with a focus on structured financial complaint handling.
Participation in DIGDAYA does not imply that BI or OJK endorses, certifies, operates, or has approved Signara.
DEMO & INSTITUTIONAL INQUIRIES
Explore Signara for Your Organization
Discover how Signara can support fraud complaint handling and case preparation workflows within your organization.
Tell us about your team and the operational challenge you would like to explore.
Contact Us
Inquiries help us understand your needs. Demonstration arrangements and institutional requirements are discussed with the team.
FREQUENTLY ASKED QUESTIONS
Before you explore.
What is Signara?
Signara provides AI-assisted fraud complaint intelligence and operations. It structures complaint narratives and prepares evidence and escalation materials for human review.
Who is Signara designed for?
Complaint handling and fraud operations teams at Indonesian regional banks (BPD), mid-sized financial service providers (PUJK), and other financial institutions.
Does Signara automatically determine whether fraud occurred?
No. Classification, urgency, and typology are recommendations. Authorized officers remain responsible for checking the information and deciding what happens next.
Can officers review AI-generated findings?
Yes. The workspace presents the source complaint, analysis rationale, evidence checklist, and draft memo. Officers can approve, edit, reclassify, or escalate, with a recorded review action.
Is Signara available for production deployment?
The public workspace is a synthetic demonstration, not an institutional production workspace. Contact the team to discuss deployment requirements. Production use requires a security, access-control, and operational readiness assessment.
How can financial institutions explore Signara?
Use the inquiry form to request a demonstration or discuss an institutional evaluation. Describe your team and workflow; submitting an inquiry does not create an account or guarantee access.
What information is required for a demonstration?
Your name, work email, organization, role, area of interest, and a brief message. Please do not include customer records, account credentials, or real complaint narratives.
Is Signara connected to IASC, BI, or OJK?
There is no live regulatory integration. Signara prepares materials for manual escalation. Its DIGDAYA origin does not imply endorsement, certification, approval, or an institutional partnership.