B2B SaaS
ICP: Company size 50β500, revenue above β¬5M, tech stack includes a tool you integrate with, contact is VP-level or above.
β Hot-lead call conversion rate typically 3β5Γ higher than cold outbound.
Use case Β· CRM + Research + Call agents
An AI lead-qualification agent handles the full inbound cycle without human delay: the Research agent enriches every new form submission with company data, the CRM agent scores the lead against your ICP within seconds, and the Call agent dials hot leads (score above 80) inside 5 minutes. Cold or borderline leads go into nurture sequences instead of rotting in an inbox. Studies consistently show that replying to a hot lead within 5 minutes makes it 9Γ more likely to convert than replying at 30 minutes β most SMBs average 47 minutes.
The research on inbound lead response time is unambiguous. Most teams still miss the window.
Every form submission, webinar signup or CRM import flows through the same loop.
A lead arrives β form submission, LinkedIn Lead Gen form, webinar signup, CRM import, business-card scan. The Automation agent fires the qualification flow.
The Research agent fetches company data from public sources: size, revenue band, industry, tech stack, recent news. Fills 15β20 CRM fields in seconds.
The CRM agent scores the enriched lead against your ICP: hard gates (region, size, industry) + soft signals (tech stack match, hiring intent, buying triggers). Output: 0β100 score with reasons.
Score > 80 β Call agent dials within 5 minutes. Score 40β80 β Mail agent starts a nurture sequence. Score < 40 β archived with reason logged, not deleted.
For hot leads, Call agent introduces itself, qualifies budget and timeline in conversation, books a meeting against your calendar if interested, logs everything to the CRM.
Your ICP is encoded as a mix of hard gates and soft signals. The agent scores each lead transparently β every score comes with the reasoning.
Same inbound volume. Different response times, different conversion outcomes.
| Dimension | Manual qualification | AI agent qualification |
|---|---|---|
| Time to enrichment | 30β90 min per lead (if done) | Under 30 seconds |
| Scoring consistency | Varies per SDR, shifts over time | Deterministic scoring model, logged reasoning |
| First-call latency | Hours to days | Under 5 minutes for score > 80 |
| After-hours leads | Wait until next business day | 24/7 response; scheduled dial at business open |
| CRM data quality | Gaps, typos, inconsistent values | Structured, verified, filled from public sources |
| Nurture sequence start | Manual or delayed | Auto-starts for score 40β80 the same minute |
| Per-lead cost | β¬12ββ¬25 (SDR time at SMB rates) | Included in β¬749 per-user subscription |
ICP definition varies by industry. The scoring model is the same; the criteria are configured per customer.
ICP: Company size 50β500, revenue above β¬5M, tech stack includes a tool you integrate with, contact is VP-level or above.
β Hot-lead call conversion rate typically 3β5Γ higher than cold outbound.
ICP: Austrian/German SMB, 10β200 employees, matches the service line (e.g. tax, legal, consulting), contact is owner/CEO.
β Response within 5 minutes from an AI-voiced call; many bookings same-day.
ICP: Buyer in price range, location in agent territory, pre-qualified financing, timeline 0β6 months.
β Viewing bookings 24/7 without after-hours staffing.
ICP: Homeowner in service area, project value above minimum threshold, urgency level, prior quotes from competitors.
β Emergency calls triaged and dispatched immediately.
ICP: Insurance coverage match, appointment type needed, distance from clinic, first-time vs returning patient.
β Booking friction removed; front-desk time freed.
Lead qualification is not billed separately. It is a combination of three agents working together.
Research agent, CRM agent and Call agent are all included in the β¬749 per-user-per-month DivineMind.AI subscription. There is no "lead qualification add-on" and no per-lead fee.
The only variable cost is outbound voice minutes β the Call agent dials hot leads, and voice minutes are sold as credit packs from β¬499 (2,000 minutes) to β¬4,999 (40,000+ minutes). An SMB typically consumes 2,000β8,000 minutes per month across all voice use cases, not just lead qualification.
Compared to dedicated SDR software (Apollo, Cognism, Outreach) layered with a dialer (Aircall, Orum), the line-item cost is often lower and the outcome is tighter β because the CRM agent and Call agent share the same data graph instead of being stitched together via iPaaS.
Yes. The ICP is stored as structured data (hard gates + weighted soft signals) in your tenant. Exportable as JSON at any time. Not locked to DivineMind.AI.
Every score is logged with its reasoning. Sales reps can override the score with one click, and the override trains the scoring model for your tenant (without touching other customers' data or the base model).
For score-above-80 leads during configured business hours: yes, typically within 1β3 minutes. Outside business hours, you can configure the agent to either (a) call immediately anyway, (b) schedule for business open, or (c) send an immediate email and call at open.
Yes. The Research agent enriches data regardless of language. The CRM agent scores against your ICP in any language. The Call agent conducts the qualifying call in the lead's language β German, English, French, Italian, Spanish, Greek, plus 25 more.
Enrichment uses only public-domain data sources (company registries, LinkedIn public profiles, company websites). No scraping of private profiles. No purchase of data from gray-market vendors. The sources are logged per lead and exportable for compliance.
The Call agent identifies itself as an AI receptionist at the start of every call, per EU AI Act transparency rules. If the prospect prefers a human, the agent offers a same-day callback from a named sales rep and sends a context summary to that rep ahead of the call.
Bring 10 anonymized past leads to the demo. We set up your ICP scoring model live and show what the agent would have done with each.