Source-of-truth mapping
Agree which system owns each field and how identifiers, units and status values align.
Connect production, inventory and quality data across your pharmaceutical business. Define ownership, mappings and exception handling before moving records between systems.
Plan your projectAgree which system owns each field and how identifiers, units and status values align.
Assess vendor versions, licensed access, rate limits and available sandboxes before choosing the connection.
Handle duplicates, partial failures and interrupted transfers without silently losing or overwriting records.
Give owners a clear queue for failed syncs and mismatches, with controlled recovery steps.
A reference exchange between pharmaceutical operational systems, with traceable mapping and exception handling.
Read agreed entities from the system that owns each record and field.
Confirm identifiers, API access, master-data ownership and available integration contracts.
Illustrative planning model. Your architecture and deliverables are agreed during scoping.
Map identifiers, choose the authoritative source and flag mismatches for review.
A reconciliation job and an exception queue for agreed records.
The problem is clear, but the approach is not.
A bounded experiment, findings and a recommendation on what to validate next.
A prototype is not a production-ready service.
You know the workflow and can agree acceptance checks.
Agreed deliverables, verification evidence and operating instructions for the scoped release.
Changes to scope need an explicit decision on cost and timing.
A live system needs focused changes or ongoing care.
A prioritized backlog, reviewed changes and an agreed maintenance or support boundary.
Coverage, response targets and access are agreed per engagement.
Document systems, data owners, licensed access and the business event that starts a transfer.
Exercise duplicates, missing references and unavailable systems in a sandbox.
Define monitoring, recovery ownership and handover documentation.
Technology is a scoping decision. These are relevant tools and building blocks to discuss against your existing systems, operating constraints and maintenance needs.
ERP APIsLaboratory exportsEvents
Confirm what each system supports, who owns the entity and which updates may be exchanged.
MappingValidationQueues
Select synchronization patterns around update frequency, identifiers and the effects of delayed delivery.
Exception queuesComparison reports
Design a traceable way to identify differences and assign them to a resolution owner.
Turn quality expectations into reviewable evidence. The exact checks and responsibilities belong in the project scope.
Verify which system owns each field and how conflicting updates are resolved.
Test duplicate delivery, partial writes, rate limits and unavailable destinations with representative payloads.
Compare counts and totals, test rollback criteria and agree who resolves post-launch exceptions.
Practical answers to help turn your idea into a scope everyone understands.
No universal connector is promised. Vendor, version, API access and project requirements determine the integration scope.
The design should expose the failure, preserve its context and provide a controlled retry or manual recovery path.
Migration requires separate mapping, reconciliation and acceptance criteria. A sample migration helps establish the scope.
Bring the problem you want solved. We’ll shape it into a project brief you can keep — or let AI draft a first approach.