AI quote request processing: from email to CRM task and response draft
Interpret quote-request emails and attachments, update CRM, allocate tasks and prepare responses for human approval.
A quote request rarely arrives as a complete, standardised form. A customer may write a short email, attach several documents, omit key information and copy colleagues whose roles are unclear.
An AI agent can turn this scattered input into a structured sales workflow: extract data, identify what is missing, update the CRM, assign ownership and prepare a response for approval.
The problem: genuine interest can stall in administration
Requests arrive through several inboxes and in several formats. Someone must read every attachment, identify the customer and their requirements, decide who owns the opportunity and re-enter the information into the CRM.
- Slow first response
- Incomplete CRM records
- Requests forwarded without clear ownership
- Technical information hidden in attachments
The solution: a structured sales process from an email
The agent monitors the approved intake channel, creates a case and preserves the original message and attachments. It then applies extraction, validation and routing rules before a person sees the prepared record.
- Capture message and attachments
- Extract required commercial and technical information
- Identify missing or contradictory details
- Prepare the CRM record, task and response draft
What data does the agent extract?
The exact schema depends on the business, but typically includes company and contact details, the requested product or service, quantity, timing, location, budget indicators and referenced documents.
- Customer and contact identity
- Requested scope and quantities
- Deadlines and delivery expectations
- Commercial or technical constraints
- Missing mandatory fields
Processing attachments and technical specifications
PDFs, spreadsheets, images and text documents are processed according to their format. The agent links extracted facts to their source and flags unreadable, contradictory or ambiguous material for review.
Qualification and routing through rules
Business rules determine the responsible team, urgency and next step. AI may interpret the content, but territory, product, value and compliance rules remain explicit and auditable.
CRM update and task creation
The agent searches for an existing organisation or opportunity before creating a new record. It attaches source material, records missing data and assigns a task with a due date and prepared context.
Response draft with human approval
A useful first response acknowledges the request, confirms the interpreted need and asks only for information that is genuinely missing. A salesperson approves or edits the draft before it is sent.
Exception handling: when should automation stop?
The agent stops when identity is uncertain, attachments cannot be read, requirements conflict, the request falls outside policy, or a high-value or sensitive opportunity requires immediate human ownership.
- Never invent missing commercial facts
- Do not silently choose between contradictory values
- Escalate unusual file types or security concerns
- Preserve the original message for review
The complete workflow
Receive → preserve sources → extract → validate → qualify → search or update CRM → allocate task → draft reply → human approval → send and log. Each transition is visible and can be measured.
Which systems can be connected?
The pattern works with Microsoft 365 or Gmail, common CRM platforms, document stores, ticketing systems and internal APIs. The deciding factor is governed access, not a particular vendor.
What should the pilot measure?
Measure time to first response, manual handling minutes, completeness of CRM fields, extraction corrections, routing accuracy and the proportion of cases requiring escalation.
How should the pilot begin?
Start with one intake channel and a limited request type. Agree the mandatory fields, routing rules and the person responsible for approvals, then test against historical examples before processing live requests.