AI-Powered System Integration

Information and tools were siloed across multiple platforms. AI bridges these systems and enables intelligent cross-platform workflows, turning four separate tools into one coherent view.

Teams were spending significant time manually moving information between project management, source control, team messaging, and credential storage. Context was lost in translation. Nobody had a complete picture of what was happening across systems without checking each one individually.

Challenge

The problem was not that these platforms lacked APIs. They all had them. The challenge was building reliable connections that handle authentication, rate limiting, error recovery, and data format differences across four distinct platforms, then adding an intelligence layer that could route, summarize, and surface the right information to the right people at the right time.

What We Built

We built a workflow orchestration layer using n8n that connects Slack, Wrike, GitHub, and 1Password. An AI layer handles intelligent routing and summarization across systems. About 30% of the effort went into the AI component: routing logic and summarization prompts. The other 70% went into integration plumbing: API connections, OAuth flows, error handling, and retry logic across platforms.

The total effort was approximately 160 hours. Redis provides caching for workflow state. PostgreSQL stores structured output and audit logs. The system produces automated actions and cross-platform insights without requiring anyone to manually check four different tools.

What Changed

Teams now get cross-platform visibility without tab-switching. Automated workflows handle routine information routing, and AI-generated summaries surface what matters across systems. Integration projects are less about AI complexity and more about connecting systems reliably. The AI adds intelligence to routing and summarization, but integration plumbing is the bulk of the work.