Devesh JoshiCo-founder, product
Nine years building AI platforms serving 12,000+ engineers. LLM platforms, agentic systems (MCP), and multi-model safety evaluation.
Autonomous Slack and Teams AI workers: Triage and ticket escalation without context loss
Building internal chat ops workers that monitor support channels, retrieve historical resolution logs, and resolve employee requests in seconds.
Why typical internal helpdesk bots get ignored
Most Slack or Teams bots fail because they simply reply with links to static documentation. Employees ignore canned search links and escalate directly to human ops managers.
High-value AI workers take action: they query active employee permissions, verify software license availability, and initiate automated workflow provisioning directly inside chat threads.
Contextual thread tracking
Store conversation history per thread using lightweight Redis key-value stores. When an employee asks follow-up questions, the AI worker retains full thread context without requiring repeated user explanations.
Topic Focus & Target Concepts
This is the work behind our AI and automation practice — agents with real grounding, voice intake, and retrieval that answers from your records rather than the model's training data.
Agents with real tool accessRunning into this in your own stack? Twenty minutes, no deck.
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