Case study · AI operations

Automation with project memory.

A delivery team that wanted AI to help with support and projects, with context and control.

Illustration: AI operations

The challenge

Tickets, repositories and databases held the knowledge, but assistants could not reach it safely and every answer started from zero.

Our approach

  1. Give AI context

    MCP tooling connects assistants to tickets, repositories and databases with scoped access.

  2. Automate the pipeline

    Omnichannel support tickets are classified, enriched and routed automatically.

  3. See every step

    Observability shows what each agent did and why.

What changed

  • Assistants answer with project history, not guesses.
  • Support tickets arrive triaged and enriched.
  • Secure, auditable data access for AI.

Stack

  • MCP
  • AI agents
  • PostgreSQL
  • SQL Server
  • Observability
  • TypeScript
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