Data entered once
An order created in one system appears everywhere it's needed within minutes. Staff stop copying data between screens and start doing the work they were hired for.
Integration
Systems that talk to each other, so people don't have to
We connect your ERP, CRM, warehouse, finance and payment systems with APIs and events. Orders, stock and invoices flow on their own, every message is logged, and failures retry without anyone chasing them.
Outcomes
Less re-keying, fewer errors, faster close
Errors caught in minutes
Every message is validated, logged and traceable. When something fails, the right person gets an alert with the record and the reason, not a vague complaint days later.
A faster month-end close
Finance stops reconciling spreadsheets against three systems. Automated checks flag mismatches as they happen, so closing the books takes days instead of weeks.
What we deliver
Integrations built to be operated
Connections you can monitor, replay and change without breaking everything around them.
Integration map
A clear picture of your systems, which one owns each piece of data, and how information should flow between them.
APIs and connectors
Documented, versioned APIs and connectors for your ERP, CRM, WMS and payment systems, built to each vendor's supported interfaces.
Event-driven messaging
Queues and events that decouple systems, so one slow or offline system doesn't stop the rest of the business.
Data mapping and validation
Field-level mappings, transformation rules and validation, agreed with your teams and tested against real historical data.
Retry and replay tooling
Automatic retries, dead-letter queues and safe replay, so a failed message is fixed once and never processed twice.
Monitoring and alerts
Dashboards for message volumes, latency and failures, with alerts routed to the team that owns the fix.
Technology
Patterns and platforms we use
Your stack decides the approach. We build custom where it pays off and use integration platforms where they fit.
Patterns
- REST APIs
- GraphQL
- Webhooks
- Event streams
- Batch / SFTP
- EDI
Messaging
- Kafka
- RabbitMQ
- Amazon SQS
- Azure Service Bus
- Google Pub/Sub
Platforms
- SAP
- Microsoft Dynamics
- NetSuite
- Salesforce
- HubSpot
- Stripe
Tooling
- Node.js
- Python
- Temporal
- n8n
- OpenTelemetry
How we work
Integrate in stages, not in one risky leap
- 01 / 04
Map
We document systems, data owners, volumes and failure points, then agree which flows matter most to the business.
You get: a prioritized integration map
- 02 / 04
Design
We define contracts, mappings, error handling and monitoring for each flow before building, and review them with your teams.
You get: signed-off interface specs
- 03 / 04
Build & test
Flows are built one at a time and tested against real historical data, including the messy records that break things.
You get: tested flows in staging
- 04 / 04
Go live & run
Parallel runs, staged cutover and close monitoring in the first weeks. Then runbooks, alerts and handover or ongoing support.
You get: live flows with clear ownership
FAQ
Questions about system integration
Should we use an integration platform or build custom?
Integration platforms suit standard connections between common SaaS tools with modest volumes. Custom code wins for complex logic, high volumes or when platform pricing grows with every message. Many clients use both. We compare total cost over three years before recommending either.
Our ERP is old and has no API. Can you still integrate it?
Usually. Older systems often support database views, file exports, EDI or a vendor-supported import tool. We use the safest supported route and wrap it in a modern interface, so the rest of your systems never deal with the legacy format directly.
What happens when one of the connected systems goes down?
Messages queue up instead of getting lost. When the system comes back, they process in order, and anything that still fails goes to a dead-letter queue with an alert. Your team can fix the record and replay it safely, without creating duplicates.
How do you prevent duplicate or missing records?
Every message carries a unique ID, and every handler is idempotent, so processing the same message twice has no extra effect. Reconciliation jobs compare record counts and totals between systems daily and flag any gap for review.
Can we change a system later without rebuilding everything?
Yes, that is the point of the design. Systems connect through a shared integration layer with stable contracts, not directly to each other. Replacing your CRM means building one new connector, not rewiring every system that depends on customer data.
Tired of copying data between systems?
List the systems involved and where data gets stuck. We'll sketch an integration approach and a sensible first flow to build.
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