AI for sales teams: lead qualification, scoring and call summaries in your CRM
We connect AI to your CRM and telephony. It qualifies leads, scores deals, summarises every call and suggests the next step to the rep. Your reps sell instead of filling in records.
What hurts
Leads arrive from the website, ads and messengers, and reps pick the easy ones. Hot requests wait for hours. Nobody knows which leads deserve the first call.
After each call the rep should update the CRM, but writes two words or nothing. The sales manager cannot see what was agreed. Deals stall because no next step was ever planned.
There are hundreds of call recordings, and the manager listens to a few. Reasons for lost deals stay in reps’ heads. New hires learn from general advice, not from real conversations.
What we build
- Inbound lead qualification on your criteria: budget, need, timing, role
- Lead and deal scoring on CRM data, with an explanation for every score
- Transcription and summary of every call on our own LLM (vLLM), with no third-party models
- CRM field autofill and reminders about the next step
- Risky deal detection: long silence, rescheduling, unanswered objections
- Manager report on loss reasons and customer objections
- Integration with HubSpot, Pipedrive, Kommo or another CRM, plus your SIP telephony
What you get
- A working integration with your CRM and telephony in production
- Qualification and scoring rules you can adjust yourself
- A sales dashboard with metrics before and after launch
- A test suite that checks summaries and scoring on your own calls
- Documentation, access handover and training for managers and reps
How we measure the result
- Time from request to first contact by a rep
- Share of deals with a next step recorded in the CRM
- Conversion of high-score leads compared with the rest
- Rep time spent updating the CRM after a call
Systems and stack
Industries
Questions
How much does AI for a sales team cost?
From $6,000 for a turnkey project. The price depends on the number of lead channels, your CRM, your telephony and whether scoring needs historical data. We fix the amount 2-3 days after discovery. If we exceed the estimate through our fault, we finish at our own cost.
What data and access do you need?
API access to the CRM, call recordings or a telephony integration, and ideally a few months of deal history. We sign an NDA and a GDPR DPA before any access. Recordings are processed by our own LLM on our servers, so conversations never reach third-party models.
Will AI replace sales reps?
No. AI takes over CRM updates, summaries and priorities. People still run the conversation, the negotiation and the decision. If you also want an AI voice agent for first calls, that is a separate service and it combines well with this one.
How accurate are summaries and scores?
AI sometimes makes mistakes, especially on poor audio or mixed languages. So we test summaries on your real calls before launch and show you the errors. Every score comes with a reason, and the rep can correct it. We use those corrections to tune the system.
How long does it take?
From 4 to 8 weeks. Discovery takes 1-2 weeks, then we build with a demo every week. We launch with some reps or one channel first, compare the metrics, and then roll out to the whole team.
What happens after launch?
We support the system under an SLA: we watch summary quality, update qualification criteria and add new CRM fields. The code, settings and documentation stay with you. Your own team can run the system if you prefer.
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Describe the task. We reply within one business day, the first call is with the founder.
Describe the task. The first call is with the founder.
We reply within one business day. 30 minutes to tell you whether it is worth doing and what it costs.