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AI & automation

Practical model hooks, agents, and workflow automation — useful and measurable, not slideware.

Abstract AI / digital texture
Foto: Credits

Capabilities

  • Retrieval and tool-using assistants grounded in your data
  • Workflow automation with human checkpoints
  • Eval harnesses so quality does not drift silently
  • Cost and latency budgets treated as first-class

Cases (placeholder)

Support triage agent

Draft replies from knowledge base with mandatory human send — first-response time down, tone consistent. (Placeholder case.)

Invoice exception bot

Flagged mismatched POs before finance touched them; false-positive rate tracked weekly. (Placeholder case.)

Ops runbook assistant

On-call gets ranked playbook steps with links to dashboards — fewer tribal-knowledge pages. (Placeholder case.)

Work method

  1. Prove value — one narrow workflow
  2. Instrument — evals, cost, latency
  3. Guardrails — human-in-the-loop where needed
  4. Scale — only after the numbers hold

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