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EMRO.AI

Case Study: Revolutionizing Sales Playbooks QutrOS

Client Background For confidentiality, we will refer to this client as Prime Contact Partners, a BPO specializing in customer service and technical support for the healthcare and retail sectors. The company had recently expanded its sales team to drive growth by acquiring new logos. However, with diverse target industries and varying client needs, Prime Contact Partners found it challenging to equip its sales reps with consistent, high-quality playbooks for effective engagement.


Problem Statement Prime Contact Partners’ sales team lacked a standardized approach for pitching different services. Sales reps often created ad hoc materials, leading to inconsistent messaging and missed opportunities. The leadership team realized they needed a dynamic sales playbook solution tailored to specific client profiles and engagement stages to improve win rates.


Emro.AI’s QutrOS Solution Emro.AI proposed a fully managed solution (Option A) where the QutrOS platform would generate and maintain dynamic sales playbooks, continuously updated based on market trends and sales outcomes. Emro.AI partnered with Prime Contact Partners’ sales leadership, IT, and marketing teams to build a comprehensive GPT model customized for their needs.


Implementation Steps

  1. Data Collection and Playbook Design: Emro.AI collaborated with the client’s sales and marketing teams to gather existing playbooks, successful pitches, ICP definitions, and competitor analyses. The QutrOS platform ingested this data to create a baseline model.


  2. GPT Model Fine-Tuning: The model was fine-tuned to generate playbooks tailored to various scenarios, including:

    • Prospecting for new logos in healthcare vs. retail.

    • Handling objections related to cost, compliance, and scalability.

    • Positioning value-add services such as advanced analytics and multilingual support.


  3. Prompt Engineering for Playbook Generation: Custom prompts were developed to enable sales reps to generate playbooks in real-time based on specific deal contexts. Example prompts included:

    • “Generate a sales playbook for pitching technical support services to a mid-sized retail client focused on cost reduction.”

    • “Create a follow-up strategy for a healthcare prospect with objections around compliance and data security.”


  4. Deployment and Training: Emro.AI deployed the solution and conducted on-site training sessions for the sales team. Sales reps learned how to effectively use prompts and interpret playbook outputs. Leadership was trained on monitoring and refining the model’s performance.


Results Within the first quarter of deployment, Prime Contact Partners reported the following outcomes:


  • 40% Increase in New Logo Acquisition: With tailored playbooks, sales reps were able to engage prospects more effectively, leading to a significant uptick in new business.


  • Consistent Messaging Across Teams: The QutrOS-generated playbooks ensured that all sales reps, regardless of experience, delivered a consistent and compelling pitch.


  • Reduced Sales Cycle Time: Reps reported faster deal closures due to better preparation and more relevant client engagement strategies.


Next Steps Emro.AI and Prime Contact Partners are now exploring ways to extend the solution’s capabilities, including:


  • Integrating QutrOS with the client’s CRM to provide in-the-moment playbook recommendations.


  • Expanding the GPT model to support upsell and cross-sell strategies for existing clients.


  • Quarterly review sessions to fine-tune prompts and enhance the playbook generation process.


Conclusion This case study highlights how Emro.AI’s QutrOS platform can revolutionize sales enablement for BPOs. By leveraging AI to generate dynamic, context-specific playbooks, organizations can enhance their sales performance, improve consistency, and accelerate growth. Whether your sales team needs a fully managed solution or a collaborative build-and-train approach, Emro.AI’s expertise can drive real results.

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