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Insitia Labs

Part of Custom Build

Background Agent

RAG over your entire company with an agent that acts on it: it investigates across your systems and ships the fix, not just a pointer to it.

Custom Build — largest scope. Scoped per engagement.

RAG over your entire company, with an agent connected to everything you have — and able to act on it. It indexes your repos, docs, tickets, wikis, and internal tools into one retrieval layer, then uses that context to actually resolve issues: not “here’s where the bug might be,” but a real fix, a real PR, a real answer grounded in your systems.

This is the Ramp background agent pattern — an autonomous teammate that picks up a problem, investigates across your whole company, and ships the resolution — built for your infra.


What it does

  • Company-wide retrieval — one RAG layer over repos, docs, Confluence/Notion, tickets, Slack history, dashboards
  • Connected to your tools — reads and writes through the systems your team already uses (issue trackers, CI, internal APIs)
  • Resolves, not just retrieves — opens PRs, runs checks, updates tickets, closes the loop on the work
  • Grounded answers — every action and answer cites the source it came from, so your team can trust and audit it
  • Runs in the background — picks up assigned issues autonomously and reports progress where your team already works

Tools / stack

  • Claude Managed Agents — agent runtime + long-running session lifecycle
  • Vector + hybrid retrieval over your company’s knowledge sources
  • MCP servers — typed connections to your internal services and tools
  • Modal Sandboxes — isolated execution for code it runs or writes
  • Your existing infra — GitHub/GitLab, CI, issue tracker, docs platform

Use cases

  • Autonomous resolution of a class of recurring tickets or support issues
  • “Ask the company anything” with answers grounded in real, current sources
  • An on-call teammate that triages, investigates, and proposes fixes across services

Why this is the largest scope

It touches everything: ingestion, retrieval quality, write access to live systems, and guardrails for autonomous action. The payoff matches — this is the build that turns scattered company knowledge into a teammate that does the work. Plan for the longer end of the timeline.

Free 30-minute discovery call. We'll see whether this fits your team.

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