AI-Powered Intelligent SDR: Autonomous B2B Lead Qualification

Turn B2B lead qualification at one of Brazil's largest logistics and e-commerce delivery companies from a manual, rep-dependent process into an AI-driven, always-on digital operation. Specific goals: (1) shorten the lead qualification cycle, which averaged 38 days; (2) reduce the cost of qualifying each lead; (3) standardize qualification through an objective, automated Lead Score; (4) eliminate manual CRM updates and keep a complete, traceable history of every interaction; (5) give B2B prospects an immediate 24/7 response on the channel they already use, WhatsApp; and (6) let account executives focus only on sales-qualified opportunities, so the commercial pipeline can scale without proportional headcount growth.

Results. Qualification cycle cut from 38 days to about one week (-80%), with same-day proposals for engaged leads. Cost per qualification down from R$ 56.86 to R$ 11.57 (-80%, 4.9x cheaper). 24/7 availability, standardized qualification, automatic CRM updates with full traceability, and a sales team focused on qualified opportunities.

• n8n – workflow orchestration of the full lead journey

• Meta WhatsApp Business Cloud API – official WhatsApp messaging channel

• Chatwoot – conversation hub, centralized history and human hand-off

• Salesforce – corporate CRM (automatic lead and opportunity updates)

• CNPJá – Brazilian company registry API for data enrichment and validation

• AI engine – large language model grounded in a corporate knowledge base [confirm model/provider]

• Corporate calendar – automatic meeting scheduling with account executives

The challenge was letting an AI make commercial decisions inside a live conversation without losing control or quality. That required: (1) orchestrating six systems (messaging channel, conversation hub, CRM, registry API, AI engine and calendar) so every message, validation and status change stays consistent and traceable; (2) turning tacit sales judgment into explicit, auditable Lead Score rules; (3) running registry validations mid-conversation while keeping it natural; (4) grounding answers in a curated knowledge base so the agent stays accurate and on-brand; (5) designing hand-off rules so a person takes over when the AI should not proceed; and (6) handling personal and company data in line with Brazil's data protection law (LGPD) and WhatsApp Business messaging policies. Adoption was the other half: sales teams had to trust AI-qualified leads and rely on the automated CRM.

Context. Total Express is one of Brazil's largest logistics and e-commerce delivery companies. Growth depends on onboarding new B2B shippers quickly, and the pre-sales step had become a bottleneck.

Challenge. Lead qualification relied on manual pre-sales work: a long delay between lead capture and first contact (the qualification cycle averaged 38 days), heavy repetitive workload, no standard qualification criteria, fragmented interaction history, manual CRM updates and opportunities lost to slow response. The process could not scale with demand.

Solution. We built an Intelligent SDR: a digital pre-sales agent made of specialized AI agents and integrated with our core commercial systems. It automates the whole journey: Campaigns → MQL → Intelligent SDR → Lead Score → SQL → Meeting → Account Executive.

1. Intake. Campaign leads are received automatically and classified as MQLs.

2. Conversational AI. The agent contacts the lead on WhatsApp, understands natural language, answers from a corporate knowledge base, identifies intent, handles objections and adapts to the lead's profile.

3. Real-time validation. During the conversation it checks the company's tax ID (CNPJ), registration status, economic segment, address and size through a business-registry API.

4. Scoring and decision. Business rules combine company data and stated needs into a Lead Score; the agent decides whether to keep nurturing the lead or promote it to SQL.

5. Hand-off. For SQLs, the meeting is booked automatically in the account executive's calendar, the CRM is updated, the full conversation is kept in the service hub, and a person can take over at any time.

Architecture. API-oriented and scalable: n8n orchestrates the workflows; the WhatsApp Business Cloud API provides the official channel; Chatwoot centralizes conversations; Salesforce is the CRM; CNPJá enriches company data; an AI engine grounded in our knowledge base drives the dialogue.

Results. Qualification cycle cut from 38 days to about one week (-80%), with same-day proposals for engaged leads. Cost per qualification down from R$ 56.86 to R$ 11.57 (-80%, 4.9x cheaper). 24/7 availability, standardized qualification, automatic CRM updates with full traceability, and a sales team focused on qualified opportunities.

Next steps. Predictive lead-scoring models, sentiment analysis, next-best-offer recommendations, real-time executive dashboards and AI-generated commercial proposals.

Brazil (nationwide)