Use cases

AI customer agents for work your team handles every day

Start with one measurable workflow, define what the agent may do, and give people a clear handoff path for everything outside the rules.

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Use cases

Choose a workflow, not a vague automation project

The strongest first use case has a repeated customer question, a clear set of details to collect and an obvious next step. Telp keeps the conversation, approved actions and human follow-up in one operational trail.

Start narrow

Launch one process with known questions, rules and escalation points.

Keep context

Pass the transcript, collected details and reason for handoff to the team.

Measure the outcome

Track completed requests, qualified leads, handoffs and unresolved questions.

Use cases

A practical first-use-case checklist

Pick a process with enough volume to matter and low enough risk to test safely. Keep exceptions with people until the rules and integrations are proven.

  • Customers ask the same questions repeatedly
  • The required details can be described as structured fields
  • A person can review exceptions without starting from zero
  • The result can be measured in the first month

FAQ

Questions before you choose

How should we start with Use cases?

Start with one channel, a small knowledge set and a clearly defined result. Test normal questions, missing information and handoff cases before adding more channels or actions.

Can our team take over the conversation?

Yes. Telp keeps the conversation in the shared inbox and can hand it to an operator with the transcript and collected context.

Does the agent have to perform every action automatically?

No. Read-only checks, prepared drafts and confirmed write actions can be separated so the rollout matches the risk of the process.

Not sure where to start?

Share the channels you use and the customer work that repeats most often. We will suggest one focused first workflow.