AI Workflow Automation

AI for Internal Helpdesk: A 6-Week Build with Slack + Claude

4 min read

A 6-week implementation plan for an internal AI helpdesk that deflects 60%+ of repeat tickets.

  1. 01Week 1: Index Confluence + Slack channel history

    Voyage-3 embeddings; pgvector store.

  2. 02Week 2: Triage prompt + tool router

    Claude Haiku for routing; Sonnet for hard answers.

  3. 03Week 3: Slack bot integration

    Slash command + mention triggers.

  4. 04Week 4: Human-fallback path with feedback capture

    Every fallback is a training signal.

  5. 05Weeks 5-6: Iterate on the prompt + retrieval based on feedback

    Aim for 60% deflection rate before scaling out.

Production-Grade AI Agent ArchitectureThree layers that keep enterprise agents reliableInputStructured payloadLAYER 1Deterministic BoundarySchema-bounded LLM callLAYER 2Validation GateSchema · Range · Cross-refPASS→ Final actionFAIL→ Human reviewLAYER 3 · Audit TrailEvery decision logged: input → prompt → output → action
The 3-layer architecture pattern Ohveda uses to ship reliable, auditable enterprise AI agents to production.

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