Inputs
- Enquiry form fields
- Approved service-fit criteria
- CRM account and activity data
AI use case
AI Lead Qualification Workflow
Qualify inbound leads, prepare context and route the next action while keeping commercial decisions under human control. WebMastra delivers this work remotely for suitable businesses worldwide.
Direct answer
What a dependable version does
AI lead qualification can organise an enquiry, compare it with explicit fit criteria and prepare the next action. It should not make binding commercial, credit or contractual decisions without review.
Current process
Where manual work accumulates
- Read each enquiry and search for company context.
- Compare the request with service fit and priority rules.
- Update the CRM and assign a follow-up.
Controlled workflow
How the work can move
- 01
Capture a consented enquiry.
- 02
Validate required fields and normalise company data.
- 03
Summarise the need and apply documented fit rules.
- 04
Send uncertain or sensitive cases to a reviewer.
- 05
Create the CRM record and approved follow-up task.
System boundaries
AI is one part of the workflow.
Rules, permissions, approvals and exception paths remain explicit.
Integrations
- Website form provider
- CRM
- Email or task system
AI-assisted work
- Summarise free-text needs
- Suggest a fit category with reasons
- Draft a reviewer-ready response
Deterministic controls
- Required-field validation
- Territory and consent rules
- Duplicate checks and routing thresholds
Human approval
- A person approves rejection, pricing and commitments.
- Low-confidence classifications enter a review queue.
Exceptions
- Missing consent or contact details
- Existing account conflicts
- Sensitive or regulated requests
Security and deliverables
Build for reviewable operation.
Security boundary
- Use the minimum data and system permissions needed for the workflow.
- Keep approved sources, access rules and activity records visible.
- Exclude passwords, payment secrets and unrestricted confidential data from prompts.
Delivery outputs
- Qualification rulebook
- Working integration
- Review queue
- Runbook and measurement plan
Measurement
Judge the workflow with operating evidence.
- Time to first reviewed response
- Reviewer correction rate
- CRM completeness
- Qualified-to-meeting progression
Suitable when
Steady inbound volume
Clear fit criteria
A CRM owner who can review outcomes
Usually unsuitable when
Very low enquiry volume
No agreed qualification criteria
Autonomous rejection of high-impact opportunities
A practical first step
Turn this pattern into your controlled workflow.
Bring the current process, systems and decision boundaries. We will help assess whether this use case fits.
Discuss This Workflow