AI-Enhanced Workflowsfor Helpdesk

Auto-Resolve 18% of Tickets & Prioritise the Rest

Integrate ML nodes that classify issues, suggest KB articles, predict reopen risk, and execute commands from the prompt line to update fields.

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Key Highlights

Auto-Resolution

AI answers known issues; closes tickets, updates stats.

Sentiment & Priority

Negative sentiment bumps priority.

Knowledge Suggest

Agent view shows top solution articles.

Voice-to-Action

“/add 5 min troubleshoot” via prompt updates time log.

Continuous Learning

Each solved or reopened case improves the model.

Why It Matters

Cuts queue size (18% tickets solved automatically)

Origami’s AI matches common issues to knowledge-base solutions, auto-resolving roughly 18% of tickets so your queue shrinks itself.

Agents focus on complex problems

The AI-driven assistant takes over simple cases, freeing agents to tackle high-priority or nuanced requests.

Faster, data-driven prioritisation

Let machine learning score and sort new requests based on SLAs, sentiment and effort estimates, ensuring the right tickets get attention first.

Real-World Use Cases

Password-Reset Auto-Close

AI sends reset steps; if the user confirms success, the ticket closes.

Voice Update

After phone call, agent uses voice command; AI transcribes & fills fields.

Churn Risk Flag

AI detects high-frustration wording; escalates to Customer Success.

Bring AI to every conversation—Try AI-Enhanced Workflows

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