Use Cases

When Your Integration Breaks,
Who Fixes It?

The answer shouldn't be “your developers, three days later.”

These are the scenarios where mmune prevents a bad day from becoming a bad quarter.

FIELD RENAME

Your Vendor Changed a Field. Your ERP Never Noticed.

Zero downtime when APIs change.

Salesforce renamed Phone_Num to Contact_Mobile. Your pipeline kept running. Your ERP silently started receiving empty records. Three weeks later, your sales team noticed the data was wrong. With mmune: semantic watchdogs detected the rename automatically, and healing agents proposed the remap, auto-applying it in autonomous mode once confidence clears the threshold.

DUPLICATE INTENT

Clean Data at the Source. Flagged Before It Compounds.

Duplicate business intent flagged as it happens.

A logic error sends the same invoice twice. Transaction IDs differ, so your deduplication layer misses it. Quarter-end cleanup projects exist because nobody caught it in motion. With mmune: semantic watchdogs identify duplicate business intent even when IDs differ, and flag it for review before it reaches quarter-end cleanup.

SCHEMA PARITY

How Do You Know the New System Behaves Like the Old One?

Parity validated before you flip the switch.

You're migrating from Oracle to a cloud ERP. The new system looks right in UAT. But does it handle every edge case your legacy logic handled for 20 years? With mmune: pre-deployment schema parity validation runs semantic equivalence checks across old and new. Drift is caught before cutover. Instant rollback if parity fails.

DATA LINEAGE

When the Numbers Don't Match, Who Do You Trust?

Full lineage from every KPI to its source.

Two dashboards. Two different revenue figures. Your data team spends a week tracing lineage manually. With mmune: every KPI traces back to its source in the audit trail. The Drift Report shows exactly where data diverged and when. Trust restored in minutes, not weeks.

LEGACY MODERNIZATION

40 Years of Business Logic. Don't Lose It in the Migration.

COBOL and mainframe modernization with parity guaranteed.

Your COBOL system knows things your cloud replacement doesn't. Business rules built over decades can't be reconstructed from memory. With mmune: automated COBOL analysis extracts business rules. DB2 schema preservation ensures structural parity. Your modernization project stops being a leap of faith.

By Industry

Built for the Sector You Work In

Data integration failures look different depending on where they happen. Here is how mmune applies across six industries, and what each one is actually protecting against.

A column type changed in the order processing system. The integration confirmed success. 47 transactions processed at one-tenth of their correct values. Nobody knew for 23 days.

What mmune does

  • Detects schema drift across core banking, CRM, and billing systems before it causes transaction errors
  • Identifies duplicate customer and account records across sources by business identity
  • Maps complete data lineage from transaction origin to regulatory report
  • Monitors GDPR, PCI-DSS, and SOC 2 compliance posture continuously
  • Alerts operations teams the moment a silent integration failure creates financial or regulatory exposure

Core risks mitigated

Revenue
  • Transactions processed at incorrect amounts due to broken billing field mapping
  • Revenue leakage from undetected logic errors propagating silently across financial flows
Compliance
  • Regulatory fines from GDPR or PCI-DSS violations caused by drifted integrations
  • Compliance reports submitted with incorrect data due to silent field removal
  • Audit failures caused by broken data lineage between transaction systems and regulatory submissions
Operational
  • Silent integration failures creating financial exposure before operations teams are aware
Data Integrity
  • Customers double-billed or accounts incorrectly reconciled due to duplicate records across core banking and CRM
A field was dropped in a schema migration. Downstream billing systems still referenced it. Claims were submitted with missing codes for 6 weeks. The error surfaced in an audit, not in any monitoring tool.

What mmune does

  • Detects schema drift in clinical and billing flows before it causes claims errors or patient data corruption
  • Identifies duplicate patient records across systems by business identity
  • Maps complete data lineage from patient intake to billing to regulatory submission
  • Monitors HIPAA, SOC 2, and GDPR compliance posture in real time
  • Alerts clinical operations teams before a silent data failure becomes a regulatory incident

Core risks mitigated

Revenue
  • Revenue cycle failures from claims rejected silently due to field drift in billing systems
Compliance
  • HIPAA violations caused by patient data flowing through broken integrations undetected
  • Audit findings caused by broken data lineage between clinical systems and regulatory submissions
  • Claims submitted with missing diagnosis codes due to a broken integration after a schema migration
Operational
  • Silent data failures accumulating for weeks before surfacing in a compliance audit
Data Integrity
  • Incorrect treatment history accessed due to duplicate patient records across EHR and billing systems
  • Patient safety risk from clinical decisions made on incorrect or duplicate data
A promotional pricing rule failed to apply after a CRM update. The integration confirmed success. Customers were charged full price during a major campaign. Operations found out when the refund requests arrived.

What mmune does

  • Detects schema drift in order processing and billing flows before it causes pricing or fulfillment errors
  • Identifies duplicate vendor and customer records across sources by business identity
  • Maps complete data lineage from order placement to invoice to warehouse fulfillment
  • Monitors GDPR and PCI-DSS compliance posture continuously
  • Surfaces broken connections between CRM, billing, and fulfillment systems before they impact customers

Core risks mitigated

Revenue
  • Orders processed at incorrect prices due to promotional pricing logic drifting after a schema update
  • Customers charged incorrectly due to broken billing field mapping after a connector update
Compliance
  • Customer data exposure from GDPR-relevant integrations breaking silently
  • Duplicate vendor payments due to the same supplier existing under multiple identities
Operational
  • Fulfillment failures discovered by customers before operations teams discover them
  • Wrong items fulfilled due to product catalog drift between CRM and warehouse systems
Data Integrity
  • Duplicate vendor records causing incorrect reconciliation and wrong payments across systems
An order status field changed data type in the ERP. The legacy integration mapper broke. Production continued on stale specifications for 4 days. The wrong parts were built. Nobody saw it until quality control caught it.

What mmune does

  • Detects schema drift between ERP, MES, and legacy systems before it causes production errors
  • Identifies duplicate supplier and parts records across sources by business identity
  • Maps complete data lineage from procurement to production to delivery
  • Monitors SOC 2 and ISO 27001 compliance posture across legacy and modern systems
  • Surfaces silent integration failures between mainframe, ERP, and plant floor before they stop the line

Core risks mitigated

Revenue
  • Wrong parts ordered or produced due to schema drift between ERP and MES after a system update
  • Duplicate supplier records causing incorrect purchase orders or double payments
Compliance
  • Compliance gaps caused by broken data lineage across legacy and modern infrastructure
  • ECO changes failing to propagate correctly due to silent integration drift between PLM and MES
Operational
  • Production stoppages caused by broken integrations between legacy mainframe and modern ERP systems
  • Quality control failures from stale data flowing undetected through broken mappings
Data Integrity
  • Stale specifications flowing silently through broken legacy-to-modern system mappings
A source system update changed how meter readings were processed. Timestamps drifted. Billing continued on inverted data for 5 weeks. Customers received incorrect invoices. The error surfaced in a customer complaint, not in any monitoring dashboard.

What mmune does

  • Detects schema drift in meter data flows before it causes billing errors or inverted readings
  • Identifies duplicate customer and meter records across billing and field management systems
  • Maps complete data lineage from meter reading to invoice to regulatory submission
  • Monitors GDPR and regulatory compliance posture in real time
  • Alerts operations teams the moment a silent data failure creates billing exposure or audit risk

Core risks mitigated

Revenue
  • Customers overbilled or underbilled due to meter reading drift after a source system update
  • Billing corrections and customer disputes caused by weeks of undetected data drift
Compliance
  • Regulatory reporting failures caused by broken data lineage between meter systems and submission platforms
  • Audit exposure from GDPR-relevant data flows breaking without detection
Operational
  • Grid management errors from third-party data feeds returning empty or incorrect values silently
  • Silent data failures accumulating across billing and field systems for weeks before discovery
Data Integrity
  • Incorrect invoices generated from duplicate customer or meter records across billing and field systems
A third-party KYC provider deployed an unversioned API change. The gateway accepted the payload normally. Downstream onboarding logic ran on empty fields. High-risk customers went undetected for 6 days. The compliance team found it in a routine audit.

What mmune does

  • Detects schema drift from unversioned vendor API changes before they break downstream systems
  • Identifies duplicate customer and account records across CRM, billing, and product systems
  • Maps complete data lineage from API ingestion to data warehouse to customer-facing systems
  • Monitors GDPR, SOC 2, and security posture across your full integration topology
  • Surfaces silent integration failures between internal services and external vendors before they reach customers

Core risks mitigated

Revenue
  • Duplicate customer records across CRM and billing causing broken experiences and incorrect charges
  • Customer-facing features breaking silently due to unversioned vendor API changes
Compliance
  • GDPR violations from customer data flowing through broken integrations undetected
  • Incident response delays caused by broken data lineage making root cause analysis impossible
Operational
  • Silent integration failures between internal services and external vendors reaching customers before detection
  • Data warehouse corruption from schema migrations breaking parity between source and target systems
Data Integrity
  • AI and ML models trained on corrupted or inverted data due to silent upstream drift

Enterprise Workflows

Integration Scenarios

mmune connects directly to your existing enterprise tools to create automated workflows.

CI/CD Integration

Trigger deployment pipelines directly from mmune. When migrations complete or drift is detected, automatically trigger builds across your entire CI/CD toolchain.

  • •Automated migration deployments
  • •Rollback capabilities in pipeline definitions
  • •Build status monitoring and event publishing
JenkinsGitHub ActionsAzure DevOpsGitLab CI/CDAWS CodePipelineGCP Cloud Build

Monitoring Integration

Send integration health metrics, drift alerts, and performance data to Splunk, Datadog, New Relic, or cloud monitoring services.

  • •Real-time health metrics
  • •Drift detection alerts
  • •Unified observability dashboard

Ticketing Integration

Automatically create tickets in Jira or ServiceNow when integration issues are detected, keeping your team informed.

  • •Automatic ticket creation
  • •Slack and Teams notifications
  • •Issue tracking and resolution

Data Governance

Integrate with Apache Atlas or Collibra to track data lineage, maintain metadata catalogs, and ensure compliance.

  • •Data lineage tracking
  • •Metadata cataloging
  • •Compliance reporting

Across Your Stack

What You Can Connect

Enterprise-grade features for the most demanding IT environments.

Legacy App Modernization

Refactor monolithic services into microservices without breaking business continuity.

Automated Infrastructure Discovery

Intelligent port scanning (5432, 3306) and banner grabbing to map shadow IT.

CI/CD Pipeline Integration

Native integrations with 6 CI/CD platforms: Jenkins, GitHub Actions, Azure DevOps, GitLab, AWS CodePipeline, and GCP Cloud Build.

Hybrid Cloud Deployment

Deploy agents on bare-metal or Docker to access secure internal networks.

See what's silently wrong.

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