What do you need from us to start?

API credentials or sandbox accounts for both systems, and a clear description of what data needs to flow in which direction. If one system does not have a sandbox, we can work with a limited production scope under an NDA.

What if one of the systems has poor API documentation?

This is common and exactly why a POC is valuable. We reverse engineer the actual API behavior rather than trusting the docs. Undocumented rate limits, missing fields, and inconsistent response formats show up in the POC so you know about them before the full build.

Can you integrate systems that do not have an API?

Sometimes. If a system has a file export, email interface, or database we can access, we can build an adapter around it. The POC will test whether that approach is reliable enough for production use and report the limitations honestly.

How is this different from just reading the API docs and writing a spec?

Specs document the happy path. The POC runs against real systems and finds the unhappy paths: fields that do not exist in practice, auth flows that behave differently than documented, and rate limits that are lower than stated. Those issues only appear when the code runs.

Can this POC become the foundation of our production integration?

Yes. The integration POC is written cleanly and can be extended to production. Many clients hand the POC code to their engineering team as the starting point, saving weeks of initial setup work.

Integration POC

Prove Your Systems
Can Actually Connect

Integration projects fail most often because teams assumed two systems would connect cleanly. An integration POC wires the actual systems together in 5 to 7 days and surfaces auth issues, rate limits, schema mismatches, and latency problems before they derail a full project.

5 to 7 day delivery

Fixed price

Full source code

Get Your Fixed-Price Estimate or book a 15-min fit call→

What This POC Proves

Eight integration failure modes tested against real systems before you spend weeks building a full integration that breaks in production.

Authentication: confirm OAuth flows, API keys, and token refresh work correctly between systems

Rate limits: measure actual throughput limits and test backoff behavior under real API constraints

Schema mapping: prove that fields from system A translate cleanly to system B without data loss

Webhook reliability: test delivery, retry, and idempotency behavior under simulated failures

Data sync accuracy: confirm bidirectional sync produces correct results when both sides change simultaneously

Permissions scope: validate that the integration only accesses the data the vendor actually allows

Error handling: verify the integration surfaces failures clearly instead of silently dropping records

Latency: measure round trip time for sync operations under realistic record volume

Integration Types We Test

Each integration type has different technical risks. We test the ones relevant to your system pair.

API to API Integration

Connect two systems that both have REST or GraphQL APIs. We authenticate, map the data models, build the sync logic, and run end to end tests to confirm records transfer correctly with no data loss.

Webhook and Event Flow

Prove that events from one system trigger the correct actions in another. We set up the webhook receiver, validate payload parsing, test retry behavior on failures, and confirm idempotent handling of duplicate events.

Data Sync Between Platforms

Test bidirectional or unidirectional sync between CRMs, ERPs, databases, or third party platforms. We run real sync cycles, introduce conflict scenarios, and measure how the integration handles field level conflicts.

SSO and Identity Integration

Validate that your authentication flow works with SAML, OIDC, or OAuth providers. We test the full login flow, attribute mapping, session handling, and logout behavior in a working environment before you build the production auth layer.

Build Timeline

Five to seven days from API credentials to a working integration with a full issues log and recommended production architecture.

Day 1

System access and mapping

Get API credentials, review documentation for both systems. Map source fields to target fields. Identify auth method, rate limits, and webhook support.

Days 2 to 3

Integration build

Build the authentication layer, request handlers, and data transformation logic. Make the first successful round trip between both systems.

Days 4 to 5

Edge case and failure testing

Test rate limit behavior, schema mismatches, auth token expiry, duplicate events, and partial failure recovery. Log every issue found.

Days 6 to 7

Report and delivery

Document all issues found and how they were resolved. Deliver source code, test results, and a recommended architecture for the full production integration.