Systems Integration & APIs.
We connect your CRM, SaaS tools, databases, calendars, Google Workspace, and AI models into one connected stack — so data flows where it needs to go without a human moving it.
Your tools do not know about each other. That is not a software problem — it is an architecture problem.
The average service business runs 12-18 SaaS tools. Each was bought to solve a problem. None were designed to talk to each other. So data lives in silos — a lead in one system, the notes in another, the booking in a third, and the invoice somewhere no one can find. The result is manual syncing, missed context, and decisions made on stale numbers.
We audit your stack, design the integration architecture, and build the connections that make your data move automatically. Custom API connectors, middleware logic, transformation pipelines, and real-time sync — so every tool always has the information it needs.
INSIDE
Six integration layers. Every connection your stack needs.
We go as deep as the data requires — from simple field sync to complex multi-system pipelines with transformation logic.
CRM Integration
Contacts, deals, activities, and custom objects synced across your CRM and every other tool that touches a customer — bi-directionally, in real time.
SaaS-to-SaaS Connectors
Point-to-point integrations between your SaaS tools — built natively via API, or through middleware where direct connections are not available.
Google Workspace Pipelines
Sheets, Docs, Drive, Calendar, and Gmail wired into your automation and reporting stack. Data flows in and out without anyone copy-pasting.
Database & Data Pipelines
Custom pipelines between your databases, spreadsheets, and data warehouses — with transformation, deduplication, and validation logic built in.
Custom API Connectors
If a tool does not have a native connector or Zapier does not cover it, we build a custom integration against the API — with auth, rate-limiting, and error handling.
AI Model Wiring
Connecting your AI models, vector databases, and LLM APIs to your production stack — so AI has access to real business data, not just the context window.
DELIVERABLES
What you actually get.
Concrete artifacts you own. No vague strategy docs — everything is built, configured, and handed off.
Integration architecture diagram
A complete map of every system, connection, data flow, and transformation in your stack — documented and version-controlled.
Live integrations in production
All connections deployed, authenticated, and running in your production environment — not a sandbox.
Data transformation & validation logic
Field mapping, deduplication, type coercion, and validation rules so dirty data in one system does not corrupt another.
Error handling & retry logic
Every integration handles failures gracefully — retries, dead-letter queues, and alerting when something needs human attention.
Monitoring & observability
A dashboard showing integration health, data volumes, error rates, and latency — so you know immediately when something breaks.
Documentation & handoff
Every integration documented with auth details, field maps, and runbooks. Your team can maintain and extend them without us.
DELIVER
Audit. Architect. Build. QA.
A disciplined process that prevents the most common integration failures: missing edge cases and undocumented assumptions.
Stack Audit
We inventory every tool, API, and data source. We identify integration points, data owners, field conflicts, and authentication requirements.
Architecture
We design the integration layer — which tools connect directly, which go through middleware, where transformation happens, and how errors are handled.
Build
We build the integrations in order of dependency. Every connection is tested in staging before it touches production data.
QA & Launch
End-to-end testing with real data volumes. We monitor the first production runs and tune before handoff.
OUTCOMES
What changes once we deliver.
Typical ranges from active engagements. Your baseline is set during discovery.
Tools we build with.
We build on what fits your business — and we'll tell you when you're paying for something you don't need.
QUESTIONS
The questions we get on every call.
WITH
Where to go next.
These services stack on top of — or lead directly into — what we build here.
AI Revenue Operations System
Integration is the foundation the revenue system runs on. They are often scoped together.
SEE SERVICE →AI Workflow Automation
Once your systems talk to each other, automations can span tools — not just individual platforms.
SEE SERVICE →AI Agents & Assistants
Agents are dramatically more capable when wired to real, connected data across your stack.
SEE SERVICE →Make your stack work as one system.
Tell us which tools need to talk to each other. We will map the integration architecture in the first call.