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Use case

ERP & CRM Integration

Your systems don't talk, so people are the middleware: re-keying orders, reconciling customers, and explaining why the numbers differ by system.

What can be automated in erp & crm integration? With current AI and integration tooling: api-level sync of the entities that matter (orders, customers, invoices, items); transformation and validation between data models; exception queues for conflicts; monitoring and alerting on sync health. What should remain under human control: master-data ownership decisions; conflict resolution rules (which system wins, when); schema and process changes. Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.

The manual reality

What this work looks like today

Who does it

Admin and ops staff as human APIs; IT fielding 'can't these just sync?' forever.

Typical systems

ERP, CRM, finance tools, e-commerce, WMS/TMS, document systems — any pair without a working connection.

The cost

Measured before we touch anything: Re-keying hours removed · Sync error rate · Data-mismatch incidents

What changes

What gets automated — and what stays human

Automated (with logging):

  • API-level sync of the entities that matter (orders, customers, invoices, items)
  • Transformation and validation between data models
  • Exception queues for conflicts
  • Monitoring and alerting on sync health

Stays under human control:

  • Master-data ownership decisions
  • Conflict resolution rules (which system wins, when)
  • Schema and process changes
Measurement & governance

How value and risk are managed

Measure

What we baseline and track

Re-keying hours removed · Sync error rate · Data-mismatch incidents · Order-to-cash cycle time

Governance

Risks designed for

Least-privilege service accounts; full sync logs; rollback paths on every integration.

Typical implementation path: One entity pair (orders or customers) integrated end-to-end first; middleware only where it earns its keep. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.

Find out what AI can actually do for your operations.

Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.

Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.