Sales and CRM module
No lead gathering dust in the CRM.No leadgathering dustin the CRM.
Qualify inquiries, keep CRM data complete and prepare follow-ups. The agent takes over the maintenance work that gets dropped first in daily business and hands the conversation to your team.
- Leadsqualified, not just collected
- CRMmaintained without catching up
- Closingstays with people
Use case
Sales rarely fails at the conversation. Usually at the follow-up.
Value is high when enough inquiries arrive, but qualification, documentation and follow-up have to happen alongside daily business.
- Inquiries without context
- Who is asking, what they need and how urgent it is only becomes clear on the third call.
- CRM as an obligation
- Data gets added when there is time. So rarely. Reports then rest on gaps.
- Follow-ups fade out
- The second and third follow-up decide the deal and are still the thing most often dropped.
Solution
Automate the groundwork, not the relationship.
The agent qualifies, documents and reminds. It does not negotiate, promises nothing and replaces no sales conversation. The handoff to people is part of the flow, not the emergency case.
- Capabilities
- qualify inquiries against defined criteriawrite contact, need and context into the CRMprepare reminders and follow-upstrack quote status and open pointscompile reports for sales reviews
- Boundaries
- no price or discount commitmentsno automated cold outreach without a legal basisno sending to contacts without a consent checkno scoring of people, only of casesno closing without a human decision
Process
From incoming lead to a reliable pipeline.
First we define what a good lead actually is. Only then do we automate anything.
- 01
Criteria
How do you recognize a fitting lead, and how one that only costs time?
- 02
Data model
Which fields must be filled so the CRM becomes genuinely reportable?
- 03
Integration
Connect CRM, forms, mailbox and calendar deliberately and with minimal permissions.
- 04
Follow-up
Define rules for reminders, tone and stopping, then measure them in the pilot.
Trust
Sales is legally the most delicate place for automation.
Promotional outreach, consent and personal data are not a detail, they are the frame. That is why we clarify legal basis and consent before anything goes out automatically.
- Consent first
- Automated outreach only runs where the legal basis has been clarified beforehand.
- Visible data provenance
- Where a record came from and who last changed it stays traceable.
- Human at the close
- Negotiation, commitment and contract decisions stay with your team.
Fits these industries
Where this agent is used in practice.
Reading
Related articles from the blog.
Practical guides that explain the same processes before you start a pilot.
Practical Scenario: AI Agent for an Electrical Contractor
Fictional scenario for an electrical contractor: a possible process, typical requirements and lessons for a tightly scoped AI phone assistant pilot.
AI scheduling agent: fewer no-shows, clearer calendars
AI scheduling agent with a worked example: separate no-shows from late cancels, measure baseline, reminders with cancel links, and when an agent is needed.
AI Agents for SMBs
AI agents for SMBs: three criteria for the first use case, control, baseline and realistic entry. Practical guide from BitAutor in Hannover.
BitAutor Sales Agent (module)
Should your pipeline stay maintained without anyone catching up?
Then we start with qualification criteria, required fields and the follow-up rhythm.
Book a 30-minute slot directly whenever it fits your schedule.