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Creation of quote

Create quotes with AI. From customer request to a document ready to check.

Sania extracts useful information from a request, uses the authorized data and prepares a structured quote. The amounts, conditions and missing elements remain visible before validation.

Direct response

Creating a quote with AI involves transforming information of a customer request in a structured document: identity, context, services, conditions and accompanying message. AI speeds up preparation, but prices, commitments and conditions must remain controlled before sending.

Content of the draft

Sania prepares what is known and points out what is missing.

01

Customer information

Find the authorized file and avoid re-entering the contact details already available.

  • Identity and contact
  • Useful history
  • Request reference
02

Commercial content

Structuring the services requested without inventing missing information.

  • Description of the mandate
  • Authorized pricing elements
  • Points to be confirmed
03

Document and message

Prepare the deliverable and its accompanying email in the same process.

  • Draft document
  • Personalized email
  • Validation before sending
04

Follow-up

Prepare the next step when the CRM or reminder service is activated.

  • Opportunity status
  • Follow-up reminder
  • Visible history
Control

Four checks before a quote goes out.

01Customer

Check the identity and the correct recipient.

02Scope

Confirm the benefits and exclusions.

03Conditions

Check the amounts, deadlines and validity.

Sending

Validate the document and its message.

FAQ

Questions about AI-generated quotes.

How to create a quote with AI?

The request is analyzed, the authorized information is reconciled with the client and a draft is composed. Unconfirmed items should be reported rather than assumed.

Can the quote be sent automatically?

The level of automation depends on the rules chosen. For a commercial engagement, human validation is generally the most prudent framework.

Can we use its prices and models?

Yes, when the necessary data, models and integrations are configured in the applicable service.

Transform a real request into a clear process.

Start with a model, catalog and validation rule.

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