Case Study

AI ops copilot

We built an internal AI copilot to streamline ops workflows, reduce manual reporting, and maintain governance.

Challenge

The team relied on manual reporting, scattered docs, and inconsistent approvals, slowing decision-making.

What we built

  • RAG system for internal knowledge
  • Ops workflows with approvals
  • Audit logs and usage tracking

Outcome

  • Faster ops responses and fewer bottlenecks
  • Higher confidence in AI outputs
  • Clear governance and traceability

Stack

Python, OpenAI, Postgres, Vector DB

Need AI workflow automation?

We build AI agents with guardrails, logs, and measurable impact.

Start a Build →
WhatsApp Connect on LinkedIn