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Solutions · Operations

SLA management software with AI: internal tickets with an owner, a deadline and automatic follow-up

A request to maintenance, facilities or legal goes by e-mail and nobody knows when it will be handled. The SLA is in the customer contract, but internally there is no way to measure it. When it is breached, the blame is split across three departments.

Nina
Solutions

SLAs and tickets with AI, step by step

01

A request becomes a ticket

Anyone asks in chat or by e-mail, and the agent turns it into a ticket with a category, a priority and a responsible team.

02

An SLA per type of request

Each ticket type has a response time and a resolution time. The agent shows the requester when to expect an answer.

03

Automatic follow-up

Near the deadline the agent warns the owner. If it is missed, it escalates to the department manager, following the rules you set.

04

A view across departments

Pulse shows volume, resolution time and SLA met by department and type, so management knows where to add capacity.

What changes

Less repetitive work. More control.

  • Every request with an owner and a deadline
  • Requesters who know when they will hear back
  • Escalation without awkwardness
  • Management seeing where deadlines are missed
Questions

Questions about slas and tickets with AI

Is it only for IT?

No. It works for any department that receives requests: facilities, maintenance, legal, purchasing, HR and finance.

Do we have to change our ticketing tool?

No. The agent can work inside the Jira, Zendesk or Movidesk you already use (Movidesk is a Brazilian help desk), or use iTeam Pipes.

How are the deadlines set?

We define them with each department during deployment, by type of request and priority, and they can be adjusted later.

Is ticket information protected?

Yes. Each department sees its own tickets, sensitive subjects can be restricted and everything is kept in the audit trail.

Next step

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