API & Integration Automation
Make the software you already pay for actually talk to each other, reliably, with failures that alert instead of silently dropping data.
What this is
We build and maintain the integration layer between your systems — CRM, billing, support, ecommerce, internal tools — so data moves automatically and correctly, with monitoring and error handling that surfaces problems instead of losing them quietly.
Who it's for
- Companies running 5+ SaaS tools that should share data but don't
- Teams that have tried native integrations or Zapier and hit a wall on complexity or reliability
- Businesses that need a custom API build against a vendor with no off-the-shelf connector
The problem
Most SaaS tools have an API, but 'has an API' and 'reliably integrated with your other systems' are very different things. Native integrations are often shallow, and no-code tools hit limits fast on anything with real logic or volume.
What it automates
- Bi-directional data sync between CRM, billing, support, and ecommerce platforms
- Custom integrations against vendors with no off-the-shelf connector
- Webhook-driven real-time updates instead of slow polling
- Data transformation/mapping between systems with different schemas
How it works
System audit
Map what data needs to move where, how often, and what happens today when it doesn't.
Integration design
Choose the right approach per connection — direct API, webhook, or an orchestration layer — rather than forcing one tool to do everything, following established resource-oriented API design practices like Google's API design guide where it applies (see: https://docs.cloud.google.com/apis/design).
Build with error handling
Every integration point gets retry logic, timeout handling, and alerting on failure, not a silent drop — mirroring the reliability practices vendors document for production webhook handling, such as Stripe's guidance on retries and signature verification (see: https://docs.stripe.com/webhooks).
Monitor
Ongoing visibility into integration health, so a broken sync gets caught in hours, not discovered a month later in bad data.
What it integrates with
What implementation involves
Audit (3-5 days)
Map data flows and failure points across current systems.
Build (1-4 weeks per integration)
Integration build with retry/error handling.
Testing
Load and failure-mode testing before production traffic.
Monitoring setup
Alerting on sync failures, dashboard for integration health.
Limitations — honestly
- Bound by what the third-party API actually exposes — some vendors have limited or rate-capped APIs
- Real-time sync isn't always possible depending on the vendor; we're explicit about latency where it applies
- Requires ongoing monitoring, since vendor APIs change without warning
Realistic outcomes
- Eliminates manual data re-entry between systems
- Failures get caught and alerted instead of silently corrupting data
- New tools can be added to the stack without a fresh integration project each time
Frequently asked questions
We evaluate alternatives case by case — some vendors support integration via partner programs, others require different approaches; we're upfront if something isn't feasible.
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