Lead management
AI sales assistant for a B2B services company: lead qualification, CRM updates and meeting booking
This illustrative example describes an AI sales assistant for B2B services that handles inbound leads of varying size and readiness. The proposed workflow extracts each prospect's stated needs, applies transparent qualification rules, drafts a personalised reply, keeps the CRM up to date and offers discovery-call slots, while salespeople own pricing, proposals and commercial decisions.
A fictional IT managed-services provider with a four-person sales team. This page shows how we would design the workflow; it is not a client project and claims no results.
- Industry
- Professional Services
- Workflow type
- Lead management
- Services involved
The business problem
Where time and enquiries get lost
Leads arrive from website forms, campaign landing pages and direct emails, ranging from small offices to multi-site firms. Salespeople research each company, ask the same discovery questions and update the CRM by hand before they can decide where to spend their time.
Response times vary with workload, CRM fields are filled inconsistently and it is hard to see which leads are ready for a call. The team wants consistency and prioritisation, not an AI making buying or credit decisions.
The manual process today
- 01Read each new lead and research the company manually
- 02Send standard discovery questions by email
- 03Update CRM fields by hand after every exchange
- 04Decide which leads to prioritise based on incomplete notes
- 05Arrange discovery calls through email back-and-forth
Proposed workflow
How the automation would work
- Automated step
- A person reviews or acts
- 01
Lead captured (automated)
Approved forms, inboxes and campaign sources feed one workflow.
- 02
Context enriched (automated)
Company details are added only from authorised sources, with unverified information labelled.
- 03
Needs extracted (automated)
Stated needs, timeline, company details and desired outcome are captured.
- 04
Qualification rules (automated)
Transparent rules agreed with the sales team score fit and readiness.
- 05
Reply drafted (automated)
A personalised response references the prospect's actual request and asks focused follow-up questions.
- 06
CRM updated (automated)
The record is created or updated with source attribution and consent preferences.
- 07
Meeting offered (automated)
Discovery-call slots come from the salesperson's authorised calendar and only valid bookings are confirmed.
- 08
Salesperson takes over (a person reviews or acts)
High-value, sensitive or ambiguous opportunities are routed to a named salesperson.
- 09
Summary corrected (a person reviews or acts)
The salesperson reviews and corrects the AI summary before the call.
In a real project, rules, tools and approval points are agreed with you during design.
Responsibilities
What AI handles, and what stays with your team
Automation and AI
- Extracting stated needs, timeline and company details from inbound messages
- Applying the team's qualification rules and suggesting a next action
- Drafting personalised replies and follow-up questions
- Keeping CRM records complete, with sources attributed
- Offering and confirming discovery-call slots
People on your team
- Pricing, proposals and contractual terms
- Commercial exceptions and discounts
- The qualification rules themselves
- Handling high-value or sensitive opportunities
- Any marketing follow-up beyond a direct reply
Systems
Systems and integrations involved
- CRM (e.g. HubSpot or Pipedrive)
- Website forms
- Authorised company data sources
- Calendar integration
- Email platform
- AI extraction and drafting
- Workflow automation
- Consent and suppression rules
Component types, not a fixed product list. We confirm which of your tools can be connected, and how, during discovery.
Safeguards
Security, privacy and exceptions
- The assistant must not invent company facts or record a budget the prospect never stated
- Enrichment uses only authorised sources, and unverified information is labelled in the CRM
- Follow-ups respect consent and suppression lists, and no repeated marketing is sent without an appropriate legal basis
- Qualification rules are visible and editable, so salespeople can see why a lead was prioritised
- Failed CRM syncs are retried and logged, and a lead that cannot be saved alerts the sales lead
Measurement
What we would measure
No results are claimed for this illustrative example. A baseline would be recorded first, and the correction rate on AI summaries would be tracked from day one as a check on quality.
Potential business value
- Every lead gets a consistent, relevant first response
- Salespeople spend their time on conversations, not data entry
- A CRM that shows where each opportunity actually stands
- Prioritisation that the team can see and adjust
- 01Median lead response time
- 02Percentage of records with complete qualification fields
- 03Time spent on administrative CRM updates
- 04Meeting-booking rate by lead source
- 05Lead-to-opportunity conversion rate
- 06Percentage of AI-generated summaries corrected by sales staff
Related services
The services behind this workflow
AI Lead Management
Capture inbound enquiries, qualify them against your criteria, update your CRM and make sure every lead gets followed up.
About AI Lead ManagementCustom AI Agents
Language models connected to your approved tools and data, with permissions, logging, error handling and human approval built in.
About Custom AI AgentsFAQ
Questions about this workflow
- Will the AI talk to prospects on our behalf?
- It can send a first reply and follow-up questions using approved wording, and the team decides how much is sent automatically. Pricing, proposals and negotiation are always handled by a salesperson.
- How does it decide which leads are qualified?
- It applies rules your sales team agrees, such as service fit, company size or timeline, and records why each lead was scored the way it was. The rules can be changed at any time.
- Does it work with our existing CRM?
- Common CRMs such as HubSpot and Pipedrive have well-documented APIs. We confirm your setup during the consultation and then provide a fixed-price quote.
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Next step
Discuss your automation project.
Tell us how this process works in your business today. We'll map what could be automated, what should stay with your team, and how success would be measured.