MONITOR_ACTIVE // NODE_01A
Case_Study // ai_sales_agentB2B Services

AISales&LeadQualificationAgent

70%
Manual Effort Reduction
5x
Response Speed Increase
24/7
Autonomous Uptime

The Inefficiency

Operational_Drag

The client's sales team was overwhelmed by unqualified leads, suffering from slow response times, and wasting critical hours on manual follow-ups. This inefficiency resulted in significant lost pipeline revenue and sales burnout.

The Architecture

System_Design

We engineered an autonomous AI Sales Agent that acts as a perpetual virtual SDR. The system captures inbound intent, qualifies prospects via natural language conversations, automatically books strategy calls for high-tier leads, and seamlessly updates the CRM.

Technology Stack

LLM Integrationn8n Automation EngineCustom API IntegrationsPostgreSQLCloud CDN

The Infrastructure

Managed_Environment

The system is hosted on a managed high-availability cloud cluster. We optimized the database architecture to handle rapid concurrent webhook events without latency spikes, ensuring continuous webhook stability.

Managed DB
24/7 Security

Business Impact

Revenue_Multiplier

01

Reduced manual SDR workload by 70%, freeing the team to focus purely on closing.

02

Decreased average lead response time from 14 hours to under 3 seconds.

03

Increased overall lead-to-appointment conversion rate by 24%.

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