SAIBA Connectors: One layer for source systems and agents
Most AI workflows do not fail because of the model. They fail at the connections to the systems where data, review, and publishing already happen.
SAIBA Connectors was established as a reusable integration layer for both customer projects and our own products.
The challenge
Each new workflow previously required new integration thinking. That created duplication, weaker QA, and more risk when multiple agents needed the same sources.
The solution
The connector layer standardizes the most important integrations, documents their maturity, and makes them available to content, CRM, brain, audit, and video workflows.
What changed
New workflows can be assembled faster because source access, publishing, and feedback loops already have a shared contract.
Technologies
| Technology | Usage |
|---|---|
| GitHub | Issues, PRs, and release signals |
| Buffer | Publishing queue |
| Runway / Figma | Visual assets and design sources |
| MCP | Agent-friendly access to tools |
Services delivered by SAIBA
- • Integration architecture
- • Connector registry
- • Agent tooling
- • QA and provenance
Does your AI workflow need safe connections to existing systems?
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