Systems Integration

Most businesses do not have an AI problem so much as a systems problem that AI makes obvious. The accounting system does not know what the CRM knows, the store does not know what the warehouse knows, and staff paper over the gap by keying the same data into three places. Systems integration is the work of building the layer that connects those systems properly, with one agreed source of truth for each piece of data, so automations and agents have something reliable to act on.

An AI integration platform starts from $30,000 and runs ten to sixteen weeks. Typical scope: an integration layer across Xero, HubSpot, Shopify, Microsoft 365 and Google Workspace or whatever the real stack turns out to be, internal tools and dashboards the team works in, data pipelines and APIs, and a custom web or mobile application where the work needs one. Where the need is narrower, a $6,500 to $15,000 workflow automation build connects two or three systems for a single process without the full platform.

Delivery starts from a target architecture and a written technical specification, usually produced in the $4,500 to $6,500 AI roadmap sprint. From there it is ordinary senior engineering: roles and permissions, an automated test suite, a CI/CD pipeline, deployment, documentation and a support window after launch. Web, app, Shopify and UI/UX work is delivered here as part of the engagement and quoted inside the project rather than sold as a separate package.

This suits businesses running several systems that were each chosen for good reasons and never designed to talk to each other, and businesses whose growth is now capped by manual handoffs between departments. It suits an operations lead who can already name the three places data gets retyped. It is too large a first purchase for a business that has not yet automated a single workflow, so start with the audit and one build.