Solution example / concept
AI sales assistant
Leads arrive through email and web forms. Sales teams spend time understanding each request, finding context and copying details into the CRM. This is a proposed approach, not a launched product.
- Status
- Proposed solution
- Category
- AI assistants · Workflow automation
- Who it's for
- B2B sales teams, agencies and technical service providers
The challenge
Where the friction comes from
Leads arrive through email and web forms. Sales teams spend time understanding each request, finding context and copying details into the CRM.
Our approach
How we would approach it
An assistant could summarize the request, identify missing details and draft a response. After a salesperson reviews it, approved information could be saved to the CRM.
How it could work
- 01
Capture
Record a new inquiry from email or a web form.
- 02
Understand
AI summarizes the request, identifies intent and suggests follow-up questions.
- 03
Review
A salesperson checks the draft and any commercial details.
- 04
Update CRM
Approved fields are saved through an API using defined rules.
- 05
Respond
External messages are sent only after approval.
Potential benefits
What it could improve
- Less time spent sorting incoming leads.
- More consistent CRM records.
- Faster response preparation with human oversight.
Potential benefits only; no measured client results.
Design priorities
Design safeguards
- No autonomous pricing or contractual commitments.
- Human approval before external communication.
- Role-based access to customer data and CRM.
Where we would start
How we would validate it
We would test summary quality, CRM field accuracy and review time using synthetic or approved sample inquiries. This is not a completed implementation or client reference.
Facing a similar challenge?
Let's review your workflow and identify a practical first step. We will only use AI where it adds clear value.