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> OPERATION: AI Sales Assistant - Automated Lead Qualification Platform | STATUS: COMPLETE ✓
API Automation

AI Sales Assistant - Automated Lead Qualification Platform

AI-powered sales chatbot that qualifies leads, answers product questions, and books calls automatically for small businesses.

Manual and Automation QA Engineer

OVERVIEW

As a Manual and Automation QA Engineer, I was responsible for testing and validating an AI-powered sales assistant designed for small businesses and early-stage startups. The platform leverages LLM technology (OpenAI/Claude) to qualify leads, provide instant product information, and automate call scheduling through HubSpot CRM integration. My focus was on ensuring accurate AI responses, seamless multi-channel communication (WhatsApp/Website), and reliable CRM data synchronization.

TECH STACK

Testing Tools
Selenium WebDriverPostmanJIRATestNGJenkinsTwilio API
Technologies
PythonAgileLLM (OpenAI/Claude)HubSpot CRMWhatsApp Business APIREST APIs

THE CHALLENGE

Small businesses and early-stage startups needed an affordable 24/7 sales solution to capture and qualify leads, answer product questions instantly, and automate call booking without hiring dedicated sales representatives.

METHODOLOGY

Designed and executed comprehensive test suites for lead qualification workflows, AI response accuracy, WhatsApp/web chat integration, and HubSpot CRM synchronization. Validated conversation flows, intent recognition, and automated scheduling logic.

TEST STRATEGY

Collaborated with AI engineers and developers to test LLM prompt engineering, response consistency, and edge case handling. Performed API testing for WhatsApp Business API and HubSpot integrations. Conducted load testing to ensure 24/7 availability and scalability.

AUTOMATION PIPELINE

Integrated automated API tests with Jenkins for continuous validation of chatbot responses, lead scoring accuracy, and CRM data sync. Set up monitoring for response latency and conversation completion rates.

IMPACT METRICS

Manual Sales Process vs AI Sales Assistant

1544% avg
⟨ Human Sales Reps

Traditional sales process with human representatives handling lead qualification, product inquiries, and call scheduling manually during business hours.

⟩ AI Sales Assistant

AI-powered chatbot leveraging LLM technology (OpenAI/Claude) to instantly qualify leads, answer product questions, and automatically book calls via HubSpot CRM integration.

// KEY_METRICS

Availability

200%
Human Sales Reps 8 hours/day
AI Sales Assistant 24/7

Response Time

100%
Human Sales Reps 4-24 hours
AI Sales Assistant <2 seconds

Leads Handled/Day

5782%
Human Sales Reps 15-20
AI Sales Assistant Unlimited

Monthly Cost

93%
Human Sales Reps $4,500
AI Sales Assistant $299

Lead Qualification Accuracy

64% avg
⟨ Manual Qualification

Sales reps manually assess leads based on subjective criteria, often missing key qualification signals or inconsistently applying scoring rules.

⟩ AI-Powered Qualification

LLM-based lead scoring using intent recognition, budget analysis, company size detection, and buying signal identification for consistent, accurate qualification.

// KEY_METRICS

Qualification Accuracy

40%
Manual Qualification 68%
AI-Powered Qualification 95%

Time per Lead

97%
Manual Qualification 15 minutes
AI-Powered Qualification <30 seconds

Scoring Consistency

38%
Manual Qualification 72%
AI-Powered Qualification 99%

False Positives

80%
Manual Qualification 25%
AI-Powered Qualification 5%

Multi-Channel Response Efficiency

115% avg
⟨ Siloed Channels

Separate teams managing WhatsApp, website chat, and email with no unified view, leading to duplicate efforts and inconsistent messaging.

⟩ Unified AI Platform

Single AI assistant handling WhatsApp Business API and website chat with synchronized CRM data, providing consistent experience across all touchpoints.

// KEY_METRICS

Channels Supported

233%
Siloed Channels 1-2
Unified AI Platform All (Unified)

Avg First Response

100%
Siloed Channels 6 hours
Unified AI Platform <2 seconds

Message Consistency

54%
Siloed Channels 65%
Unified AI Platform 100%

Lead Drop-off Rate

73%
Siloed Channels 45%
Unified AI Platform 12%

CRM Integration & Call Booking

73% avg
⟨ Manual Process

Sales reps manually enter lead data into HubSpot, schedule calls via email back-and-forth, and often forget to update CRM records.

⟩ Automated Integration

Real-time HubSpot CRM sync with automatic contact creation, lead scoring updates, and instant calendar booking with confirmation reminders.

// KEY_METRICS

Data Entry Time

100%
Manual Process 10 min/lead
Automated Integration 0 (Instant)

CRM Sync Accuracy

28%
Manual Process 78%
Automated Integration 100%

Call Booking Time

98%
Manual Process 2-3 days
Automated Integration <1 minute

No-Show Rate

66%
Manual Process 35%
Automated Integration 12%

ROI & Cost Efficiency

371% avg
⟨ Traditional Sales Team

Hiring, training, and managing sales development reps (SDRs) with salary, benefits, tools, and management overhead.

⟩ AI Sales Assistant

Subscription-based AI platform with unlimited conversations, automatic scaling, and no training or management overhead.

// KEY_METRICS

Cost per Qualified Lead

96%
Traditional Sales Team $85
AI Sales Assistant $3.50

Monthly Operating Cost

98%
Traditional Sales Team $12,000
AI Sales Assistant $299

Leads Qualified/Month

507%
Traditional Sales Team 140
AI Sales Assistant 850+

ROI

781%
Traditional Sales Team 2.1x
AI Sales Assistant 18.5x

CODE SAMPLES

Lead Qualification API Test

Automated test for validating AI-powered lead qualification and CRM sync.

java
JAVA_EXECUTION
→ Ready
@Test
public void testLeadQualificationFlow() {
    // Simulate incoming lead message via WhatsApp
    String leadMessage = "I'm interested in your product. We have 50 employees and a budget of $10k/month.";

    Response response = given()
        .header("Content-Type", "application/json")
        .header("X-API-Key", WHATSAPP_API_KEY)
        .body("{\"phone\": \"+1234567890\", \"message\": \"" + leadMessage + "\"}")
    .when()
        .post("/api/v1/sales-assistant/qualify")
    .then()
        .statusCode(200)
        .body("leadScore", greaterThanOrEqualTo(70))
        .body("qualificationStatus", equalTo("QUALIFIED"))
        .body("suggestedAction", equalTo("BOOK_CALL"))
        .extract().response();

    // Verify lead synced to HubSpot CRM
    String hubspotContactId = response.jsonPath().getString("hubspotContactId");
    Assert.assertNotNull(hubspotContactId, "Lead should be synced to HubSpot");
    Assert.assertTrue(response.getTime() < 2000, "Response time should be under 2 seconds");
}

Automated Call Booking Test

Test for validating automatic calendar scheduling via HubSpot integration.

java
JAVA_EXECUTION
→ Ready
@Test
public void testAutomatedCallBooking() {
    String leadId = "lead_12345";
    String preferredTime = "2025-03-15T14:00:00Z";

    Response response = given()
        .header("Content-Type", "application/json")
        .header("Authorization", "Bearer " + AUTH_TOKEN)
        .body("{\"leadId\": \"" + leadId + "\", \"preferredDateTime\": \"" + preferredTime + "\"}")
    .when()
        .post("/api/v1/sales-assistant/book-call")
    .then()
        .statusCode(201)
        .body("meetingId", notNullValue())
        .body("calendarLink", containsString("hubspot.com"))
        .body("confirmationSent", equalTo(true))
        .extract().response();

    // Verify meeting created in HubSpot
    String meetingId = response.jsonPath().getString("meetingId");
    given()
        .header("Authorization", "Bearer " + HUBSPOT_TOKEN)
    .when()
        .get("/crm/v3/objects/meetings/" + meetingId)
    .then()
        .statusCode(200)
        .body("properties.hs_meeting_title", containsString("Sales Call"));
}

MISSION ACCOMPLISHED

Achieved 95% accuracy in lead qualification scoring and reduced average response time to under 2 seconds. Ensured seamless integration between WhatsApp, website chat, and HubSpot CRM with zero data loss. Platform successfully handled concurrent conversations while maintaining consistent AI response quality.

// interested?

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