TL;DR Pepsales AI helped Spyne automate sales meetings analysis with 100% accuracy, instantly identifying high-intent leads and streamlining deal prioritization. By eliminating 50% of manual call analysis time, Pepsales AI seamlessly integrated with Spyne’s Hubspot CRM, enhancing lead management efficiency. These capabilities enabled Spyne’s sales team to focus on high-value opportunities, optimize workflows, and accelerate revenue growth.
“During our rapid growth at Spyne, we needed to optimize our sales processes and upgrade our tech. Pepsales AI delivered the sales intelligence we sought, automating our conversations and implementing BANT qualification-based deal scoring to enhance our pipeline forecasts. Our sales team can now use this buyer intelligence to improve future interactions. The integration with our HubSpot CRM increased productivity by removing manual updates, providing sales leadership with real-time insights into our pipeline.”
Ankit Khandelwal, VP-Business, Spyne
Spyne’s Sales Challenges
In the past 15 months, Spyne has achieved 5X growth and is now targeting a 3X revenue increase in FY 2025-26. As the company expands into the US market and new international markets, including EMEA and APAC, it faces key sales challenges:
- Inefficient Lead Qualification: SDRs (Sales Development Representatives) and AEs (Account Executives) lacked a consistent process, leading to wasted time and missed opportunities.
- Limited Sales Visibility: Sales leaders struggled to track and analyze sales conversations at scale.
- Manual CRM Updates: AEs spent excessive time updating CRM records, reducing pipeline visibility, and slowing decision-making.
- Slow Onboarding & Process Inconsistency: New hires faced challenges ramping up due to an unstructured discovery and demo process.
How Pepsales AI Transformed Spyne’s Sales Process

Automating Sales Meetings Recording & HubSpot CRM Integration
- Before: Sales meetings were either not recorded or recorded manually using various note-taking tools, leading to fragmented insights and incomplete data in HubSpot CRM.
- After: 100% of sales calls were recorded and seamlessly integrated into HubSpot CRM, enabling managers to access and review any customer conversation instantly.

Implementing a Custom BANT Deal Qualification Framework
- Before: Spyne used a basic deal qualification process that was inconsistently applied across sales calls, leading to an unstructured and inconsistent discovery and demo process.
- After: A customized BANT deal qualification framework tailored to the automotive retail industry was implemented, ensuring standardized deal qualification for every sales call.

Automating Sales Meetings Outcomes with AI
- Before: Sales call analysis was entirely manual, leading to inefficiencies and missed insights.
- After: 100% of sales meetingoutcomes were automated, providing immediate, data-driven insights for deal prioritization.

Enabling Real-Time Pipeline Visibility
- Before: Pipeline scoring was subjective, varying based on individual salesperson judgment.
- After: Pipeline scoring became objective and data-driven through AI, allowing sales leadership to focus on deals with the highest potential for closure.

Enhancing 1:1 Sales Coaching with AI-Powered Insights
- Before: Sales managers had to manually listen to calls to identify coaching opportunities.
- After: AI-driven insights highlighted specific areas for improvement (e.g., objection handling, better discovery questions, economic buyer identification), making 1:1 coaching more targeted and effective.

Turning Sales Conversations into Insights for Marketing and Product for Scalability and Market Share

- Before: Marketing and Product team needed to listen to sales conversations to gather insights for sales enablement, campaign ideas and new product launches.
- After: “Voice of Prospects” was established through Pepsales AI, providing marketing, product, sales, and CXOs with visibility into different ICPs, markets, and product performance—accelerating revenue growth.
Strategic Priorities for Spyne
- 3X Revenue Growth in FY2026 - Over the past 15 months, Spyne has experienced 5X growth and is targeting an ambitious 3X revenue increase in FY 2025-26.
- Adopt a Data-Driven Sales Framework – Implement a structured, insights-driven approach to optimize deal progression and improve conversion efficiency.
- Enhance Sales Visibility and Prioritization – Leverage automated sales conversations analysis within Spyne’s Hubspot CRM to track high-intent opportunities and focus on the most valuable deals.
Pepsales AI’s Role in Driving Sales Transformation
Pepsales AI Discovery Copilot: AI-Powered Sales Discovery for B2B SaaS Teams
Top-performing B2B SaaS sales teams succeed by truly understanding their buyers. This requires asking insightful questions, rigorously qualifying leads, and focusing on high-potential opportunities. However, many teams struggle with inconsistent discovery processes, prolonged sales cycles, and missed deals due to unstructured sales methodologies.
Key Sales Challenges Solved by Discovery Copilot:
- Unstructured Discovery – Lack of a consistent sales framework (e.g., MEDDIC, MEDDPICC, BANT, SPICED).
- Inconsistent Execution – Discovery process varies based on individual sales reps' experience.
- Lack of Measurable Outcomes – Poor CRM hygiene and limited automation reduce visibility into deal health.
How Discovery Copilot Enables Sales Teams:
- AI-Powered Meeting Preparation – Access insights and recommended questions before every call.
- Real-Time On-Call AI Coaching – Get instant guidance for handling objections and improving discovery conversations.
- Automated Deal Qualification – Assign MEDDIC/MEDDPICC scores for every deal to prioritize the right opportunities.
- CRM Automation & Insights – Capture key sales conversation insights and update CRM records automatically.
Impact Created by Discovery Copilot for Spyne
- 100% – Accurate AI-powered sales meetings analysis
- 50% – Time saved through automated Hubspot CRM integration
- 100% - Confidence in Deal Forecasting

Most Loved Features of Pepsales AI’s Discovery Copilot
1. Live, In-Call AI Sales Coaching
Work alongside an AI-powered sales coach during calls to handle objections, uncover buyer priorities, and close deals more effectively.
2. Automated Deal Insights & Scoring
Leverage post-call analytics and MEDDIC/MEDDPICC-based scoring to prioritize high-intent deals and define clear next steps.
3. Smart Discovery Question Suggestions
Utilize AI-generated, context-aware discovery questions tailored to your industry and sales methodology to uncover critical buyer insights.
4. Comprehensive Account Research and Persona Research
Gain a deeper understanding of buyer needs and deal progress with AI-powered summaries, allowing sales teams to focus on the most promising opportunities.