The Support Deflection LayerSupport

The layer before your helpdesk.

Your Neev agent answers what it can from your knowledge and systems. When it cannot, it files the ticket with full context. Your team only sees the conversations that actually need a human.

Two questions answered from the docs; the third becomes a ticket, filed with full context. That is the deflection receipt. The agent in the corner is doing this same job for us right now.

Not an AI that drafts replies inside your ticket queue. A layer that keeps tickets from existing.

Problem to receipt

What the agent walks into, what it does, and what it leaves behind.

The problem

Every question becomes a ticket

Most support volume is questions your website, docs, and systems can already answer. Every one of them still lands in a queue, waits for a human, and costs you money.

The agent

The agent resolves what it can

Trained on your knowledge base and connected to your systems, the agent answers instantly. When a conversation genuinely needs a human, it does not dead-end.

  • Answers from your docs, site, and connected systems
  • Checks order status, account details, and policies through your APIs
  • Files the ticket with the full conversation attached when it cannot resolve
  • Routes by topic so the right team sees it first
The receipt

Your ticket volume falls

Resolved conversations never become tickets. The ones that do arrive pre-triaged with context, so handle time drops too.

  • Deflected conversations, logged and reviewable
  • Tickets filed in your helpdesk with transcript and context
  • Support spend down as volume drops

Neev + your helpdesk

This is not another helpdesk. Neev sits in front of the support stack you already run and connects to it through its API.

  • Keep your existing helpdesk, queues, and workflows
  • The agent files tickets through your helpdesk API with full context
  • Your team works the hard conversations, not the repetitive ones

Your ticket volume falls. Keep your helpdesk for the hard 20 percent, or eventually drop it.

Works withZendeskFreshdeskIntercomHubSpotSlack

FAQ

What teams ask about this use case.

Does this replace our helpdesk?

Not on day one. Neev sits in front of your helpdesk: the agent resolves what it can and files clean tickets for the rest. As deflection climbs, many teams find the queue shrinks to the conversations that truly need people.

What happens when the agent cannot answer?

It files a ticket through your helpdesk API with the full conversation, contact details, and context attached. Nothing is lost and nobody repeats themselves.

Where do the answers come from?

From your content: website, docs, and knowledge base, plus live lookups against systems you connect. The agent does not invent policy.

How do we measure the impact?

Every conversation is captured in the admin portal with resolution status, so you can see deflected volume against filed tickets. Our ROI calculator gives you a ballpark before you start.

Put an agent on this problem

We install it, connect it to your systems, and stay for the tuning. You see every conversation and every receipt in the admin portal.