Integration, APIs & Data
Less manual work. Fewer surprises. Numbers you can trust.
Connecting your systems was never really the goal, it’s just the means. What you actually want is a business that runs more efficiently, with less manual effort and fewer errors, and numbers everyone can rely on without double-checking them.
Less manual work
Nobody on your team should be re-keying the same data between your CRM and your accounting system. What used to take an afternoon of copy and paste happens automatically, every time, without anyone remembering to do it.
Fewer surprises
When numbers turn out to be wrong, it’s usually because a source system changed quietly or a sync missed an edge case. We validate pulled data against the system of record so problems get caught before your team makes a decision off them, not after.
A system sized to the job
Not everything needs to update in real time. We match the integration to what the business actually requires, nightly batch where that’s enough and live webhooks where it isn’t, so you’re not paying to run infrastructure you don’t need.
An honest recommendation
Sometimes the right answer is Zapier, not us.
For a lot of businesses, a no-code tool like Zapier is a genuinely good first step: quick to set up, no engineering required, and perfectly fine for connecting two SaaS apps around a simple trigger. We often recommend starting there, and we’ll tell you so.
It tends to run out of road with volume, with complex business logic, and with anything that has to reconcile against a system of record, like accounting, ERP, or compliance data. That’s where a custom integration earns its cost, because reliability and correctness start to matter more than setup speed.
Where this shows up
A dashboard your team can actually trust.
A sales dashboard is only as good as the sync feeding it. We’ve corrected engagements where a working demo was quietly under-reporting revenue by roughly 20 percent because of a pagination bug in the source system, or where returns and credit memos were not being counted the way the business actually defines them. Fixing that is not a UI problem, it’s a data-modeling problem, and it’s usually the part of the work that decides whether people trust what they’re looking at.