Whatever tool you already rely on, connected properly
Custom integrations with the specific third-party tools your business already runs on, including the ones nobody else builds connectors for.
Every business ends up with that one specialised tool nobody wants to migrate off - an industry-specific piece of software, a legacy system a whole department depends on, or a niche platform with no mainstream competitor. These tools rarely have a pre-built connector to whatever else you're running, and the standard advice is to switch platforms. That's usually the wrong answer when the tool itself works fine and the actual problem is just that it doesn't talk to anything.
Third-party integration is the alternative: building the connector to the specific tool you already use, instead of forcing a migration to solve a connectivity problem.
Third-party integration is custom connector development for a specific tool your business already relies on, so it exchanges data with the rest of your stack without requiring a platform change.
What we bring to this
Custom Third-Party API Connectors
- Point-to-point connections to niche or industry-specific tools
- Authentication and data mapping tailored to the specific platform
Legacy System Integration
- Connections to older systems with limited or non-standard APIs
- Workarounds for platforms without modern API support
Data Synchronisation & Transformation
- Format conversion between systems with different data structures
- Scheduled or real-time sync depending on the platform's capabilities
Integration Testing & Monitoring
- Testing against the specific tool's actual behaviour, not just its documentation
- Ongoing monitoring for sync failures
Fallback Handling for API Downtime
- Queuing and retry logic when the third-party system is unavailable
- Graceful degradation instead of silent data loss
Scope of work
| Area | What's included |
|---|---|
| Discovery | Review of the specific tool's API, limitations, and actual behaviour |
| Connector Build | A working, tested integration between the tool and the rest of your stack |
| Fallback Logic | Handling for what happens when the third-party system is down or slow to respond |
| Monitoring | Ongoing checks so a broken sync is flagged, not discovered later |
The engagement, step by step
Tool & API Review
We test the specific tool's actual API behaviour rather than relying solely on its documentation, since niche and legacy platforms often diverge from what's written.
Feasibility Check
We confirm what the tool's API genuinely supports before committing to a scope, since some legacy platforms have real limitations no integration approach can work around.
Data Mapping
Fields and formats are mapped between the third-party tool and the connected systems, accounting for structural differences.
Connector Build
The integration is built with fallback handling included, so downtime on the third-party side degrades gracefully instead of dropping data.
Testing Against Real Conditions
We test with the tool's actual quirks and failure modes, not just clean sample data.
Monitoring & Handover
The connector ships with monitoring in place and documentation for ongoing maintenance.
How this compares
| Custom Connector | Platform Migration |
|---|---|
| The specialised tool stays in place, doing what it does well | The team relearns a new platform to solve a connectivity problem |
| Migration risk and disruption are avoided entirely | Migration introduces its own data and workflow risk |
| Cost is scoped to the specific connection needed | Cost includes retraining, data migration, and lost productivity during transition |
Where this fits
- A business relies on industry-specific software with no native integrations and no realistic mainstream replacement
- A legacy system still runs critical operations but was never built with modern API standards in mind
- A specialised tool works well on its own but leaves everyone else manually re-entering its data elsewhere
Who needs this
Businesses with an irreplaceable niche tool
If the tool itself does its job well and the only complaint is that it's isolated, migration is rarely worth the disruption.
Teams maintaining legacy systems
Older platforms with limited APIs need a connector approach built around their actual constraints, not a generic integration template.
What changes for you
- The specialised or legacy tool stays in place instead of forcing a disruptive and expensive migration
- Data generated in an isolated tool becomes usable across the rest of the stack
- Downtime or slowness on the third-party side degrades gracefully instead of silently losing data
Why work with EASI7 on this
- We test against how the specific tool actually behaves, not just what its documentation claims
- We tell you upfront if a tool's limitations make a clean integration genuinely impossible, rather than overpromising a workaround
Other services in this area
Systems that actually talk to each other
Custom API integration connecting your website, CRM, and marketing tools into one working system instead of five disconnected ones.
Leads that land in the CRM automatically, correctly
CRM integration connecting your website, ads, and marketing tools so leads never require manual entry.
Your stack, working as one system
Integration across email, ads, analytics, and automation platforms so data flows without manual exports.
Payments that just work, in the markets that matter
Payment gateway integration for e-commerce and subscription businesses, tested across every payment path before launch.
Common questions
That's common with niche and legacy platforms, and it's why we test the actual API behaviour directly rather than relying only on documentation. It can mean more discovery time upfront, which we account for in the scope.
No - if a tool has no API and no other data export mechanism at all, there's genuinely nothing to connect to. That's rare with modern software but does happen with some legacy systems, and we'll tell you honestly if that's the case rather than proposing a workaround that won't hold up.
Fallback handling - queuing requests and retrying once the system is back - is built into the integration specifically for this, so a temporary outage on their end doesn't mean permanent data loss on yours.
Usually, yes, especially once you account for the retraining, data migration, and workflow disruption a platform switch involves. A custom connector is scoped to the specific connection needed, not a full platform replacement.
Where a sandbox isn't available, we test carefully against production with safeguards - limited scope, reversible actions, and close monitoring - since testing against real conditions is still necessary even without a safe test environment.
Got a tool nobody else wants to build for?
Tell us what it is and what it needs to connect to. We'll tell you honestly what's actually possible before quoting anything.
Talk to us →