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Hybrid Routing, Live Escalation and Staff Enablement.

Hybrid Routing — When AI Knows It’s Time to Hand Off to a Human 

AI callers are incredibly capable, but some situations still need a human touch. A frustrated customer, a complex request, or a sensitive issue shouldn’t be left to automation. That’s where Hybrid Routing comes in. With Jlari, your AI caller knows when to escalate, and your team receives the call with all the context they need to take over seamlessly.

Why It Matters

No customer likes repeating themselves. If your AI caller transfers a call but the agent has no idea what was already said, the customer feels ignored. Hybrid Routing solves this by ensuring the agent receives a short summary of the conversation so they can pick up exactly where the AI left off.

What You Get
  • Smart Escalation — Calls transfer automatically when the AI detects a complex issue, customer frustration, or specific keywords.

  • Context Sharing — The receiving agent sees the customer’s details and a summary of the AI’s conversation, so they don’t have to ask the same questions again.

  • Flexible Routing — Decide whether calls go to a specific department, individual staff members, or a rotating schedule.

  • Fail-Safe Options — If no one is available, the AI can schedule a callback or take a message.

Examples in Action
  • A healthcare clinic’s AI caller handles appointment bookings but instantly transfers to staff if a patient mentions “insurance” or “medical records.”

  • A real estate office’s AI caller answers property questions but routes directly to an agent if the caller wants to schedule a showing.

  • A hotel’s AI caller manages most reservations but transfers to the front desk if a guest has a special request like “room with a view” or “late check-out.”

Our Approach

We work with you to define clear rules for when a call should stay with AI and when it should transfer to staff. We then test real scenarios in pilot calls to make sure the handoff feels natural and smooth. Your staff gets simple training so they know how to accept calls with context and jump in without missing a beat.

Why Choose Jlari

 

  • Customer First — No endless menus, no repeating the same info twice.

  • Smarter Handoffs — Agents get a head start with context, saving time and frustration.

  • Custom Rules — You decide which situations always need a human, we set it up.

  • Reliable Backup — If staff are unavailable, the AI offers callback or voicemail options.

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how it worksEverything you need to know about

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

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