Most AI pilots stall because nothing connects to real work. Integration is where the value shows up.
Systems, data, and workflows, with oversight built in
CRM, ERP, ticketing, document stores, and internal tools connected through supported APIs and events.
Clean, permissioned access to the records a workflow needs, with no shadow copies of your data.
Triggers, routing, and human review steps so AI output enters your process where a person can approve it.
Least-privilege service accounts, audit trails for every AI-assisted action, and documented data paths.
Quality, latency, and cost tracking with alerts when output drifts outside the agreed range.
An abstraction layer so switching model or vendor is a configuration change instead of a rewrite.
One workflow live at a time
Map the systems, data, and permissions involved, and confirm each one can expose what the use case needs.
Define the trigger, the AI step, the human review point, and the fallback when confidence is low.
Scope service accounts, agree data paths, and get security sign-off before anything touches production data.
Implement the integration against real records in a controlled environment, with edge cases tested explicitly.
Ship to one team first, watch quality and cost, then widen once the numbers hold.
Runbooks, alerts, and documentation so your team owns the integration going forward.
Connected systems, permissioned data, and a human review step where it matters.