API Development & Integration

We follow standard security practices - encrypted connections, secure authentication methods like OAuth rather than storing raw credentials, and limiting each integration to only the specific data and permissions it actually needs rather than granting broad access by default. Every additional connection between systems is a potential point of failure or exposure, so we scope access tightly and document exactly what each integration can see and do. If a client asks for broader access than a project genuinely needs, we'll flag that rather than just implementing it as requested.

We build integrations with error handling and monitoring in place specifically so failures get caught quickly rather than silently breaking something downstream without anyone noticing. When a third-party API does change - which happens more often than people expect - having proper logging means we can diagnose and fix the integration fast rather than starting from scratch to figure out what broke. For business-critical integrations, we'll also discuss fallback behavior - what should happen to your system if that external service is temporarily unavailable.

Both. If you need to expose your own data or functionality so other systems - a mobile app, a partner's platform, an internal tool - can connect to it, we design and build that API from scratch, with proper authentication, rate limiting, and documentation so it's usable by whoever needs to consume it. We treat a custom API as a real product in its own right, not an afterthought, since a poorly designed one creates headaches for every system that has to work with it later.

Depends heavily on how well-documented the systems involved are and how much custom logic needs to sit between them. A straightforward integration between two well-documented, popular tools might take a couple of weeks. A complex integration involving several systems, custom data transformation, or limited documentation can take considerably longer, and we'll give you a realistic estimate after actually reviewing the systems involved rather than quoting a number before we've looked at what we're working with.

Yes, this is one of the more common integration requests we get - businesses manually re-entering the same customer or order data across three or four different tools. We map out exactly what data needs to flow where, in which direction, and how often, then build the connections to automate it, which usually eliminates a meaningful chunk of manual admin work. We'll also flag if any of your current tools have API limitations that constrain how real-time or complete that syncing can realistically be.

We document integrations clearly enough that swapping out one connected system doesn't mean rebuilding everything else from scratch - the goal is that the rest of your integration architecture stays intact while only the piece touching the replaced tool needs updating. That said, how clean this swap actually is depends somewhat on how similar the new tool's API is to the old one. We'll give you an honest read on that complexity if and when you're considering a switch, rather than assuming it's always trivial.

We test actual data flow under real conditions, not just whether a connection technically succeeds - checking edge cases like what happens with malformed data, rate limits being hit, or a service timing out mid-request. A connection that works in a clean demo but breaks under real, messy production data isn't actually finished. We'd rather catch those failure cases during testing than have you discover them the first time real customer data hits the integration in production.

Yes, and this is a fairly common request - someone else built an integration that mostly works but occasionally drops data or fails silently. We start by adding proper logging if it isn't already there, since diagnosing an intermittent issue without visibility into what's actually happening is mostly guesswork. Once we can see the actual failure pattern, we can usually pin down whether it's a rate limiting issue, a data format edge case, or something else entirely, and fix the root cause rather than patching around symptoms.

Tell us which systems need to connect and what you're trying to accomplish - the actual business outcome, not just the technical request - since that context often changes how we'd approach the integration. We'll review the relevant APIs and documentation before quoting a timeline, rather than estimating blind. If it turns out to be simpler than expected, we'll tell you that too instead of scoping it as bigger than it needs to be.