The customer context
For companies whose orders arrive as a sequence of messages, images, calls and incomplete questions.
Collects order details, checks the required information and sends the team a structured request instead of scattered messages.
Orders
AI agent for orders and enquiries
For companies whose orders arrive as a sequence of messages, images, calls and incomplete questions.
What this workflow can cover
- Ask for product, quantity, options, deadline and delivery details
- Check approved product or catalog information when connected
- Prepare a complete order request before a person confirms it
- Route incomplete or unusual requests with a visible reason
Orders
How it works
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1
The customer starts an order or enquiry through an existing channel.
-
2
The agent gathers product, quantity, deadline, location, contact and special requests.
-
3
The team receives a structured request in Telp or an approved connected workflow.
What your team gets
Fewer incomplete order requests
Less manual copy and paste
Clearer information for price, availability and fulfilment decisions
Telp
How your team keeps control
Business rules stay explicit
Instructions, required details and allowed actions are configured for the selected workflow.
Sensitive steps can wait for confirmation
The agent can prepare a structured request while a person remains responsible for the final action.
Handoff keeps the conversation
Operators receive the customer context, collected data and the point where help is needed.
FAQ
Frequently asked questions
How should we start with AI agent for orders and enquiries?
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.
Explore related pages
Use cases
Scheduling
AI agent for appointment booking
Answers appointment questions, captures the required details and prepares a request for confirmation or a connected scheduling step.
Sales
AI agent for lead qualification
Asks the agreed qualification questions and sends sales a structured lead with context and a suggested next step.
Support
AI agent for customer support and handoff
Resolves repeat questions from approved knowledge and hands complex cases to an operator without making the customer repeat everything.
Want to validate this workflow with your own examples?
Tell us the channel, current process and first result you want to improve. We will suggest a focused rollout path and the cases your team should test.