Based on my observations from participating in client product pitch calls:
Client counterparts, such as the CTO or Head of Data Science, are often technically knowledgeable and savvy about the product and solution. Beyond understanding the product, discussions often delve into detailed questions like the number of models used. While they typically grasp the overall approach and flow, questions about specific models and data usage demand careful and precise responses. Here’s what to keep in mind:
Be Transparent About Shortcomings: It's vital to be upfront about any shortcomings in existing solutions. While most of us are technically proficient and familiar with tools and workflows, clients highly value honesty and clarity.
Custom Benchmarks Are Key: Preparing domain-specific benchmarks is crucial. This demonstrates how your solution aligns with and addresses specific business needs.
Addressing Issues and Challenges: Highlight the number of issues or challenges you've successfully resolved. This underscores the robustness and reliability of your approach.
Focus on Metrics: Consistency, accuracy, and relevance are the key metrics to emphasize. These reflect the reliability, pertinence, and latency of the solution. Convey that no single model can solve every domain use case; solutions must be holistic and tailored to the domain.
Incorporate Real Domain Experience: Embedding domain expertise into the product makes it easier to outperform competitors and deliver exceptional value.
LLM Benchmark Dashboard: Having a custom dashboard ready is transformative. It should highlight functionality, responsibility, adoption, and usage, giving clients an immediate view of the solution's capabilities.
Stay Ahead with Features and Workflows: Ensure your product offers features and workflows that provide real, tangible value to the client.
Hands-On Work and Proven Benchmarks: Demonstrating hands-on work and showcasing proven benchmarks are always more persuasive to clients. They prefer tested, reliable solutions that save time and effort while aligning with their goals.
This experience is very identical to my experience with the CTO of a US-based specialty Retailer
I presented a ReimaginedWorkflow for: Customers, Support analysts, Procurement teams, Digital Asset Management
GenAI-powered workflows for
- New engagement models
- Innovative interactions
- Blending creative solutions
Proven approach / Quick time to market / Iterative experiments are they key aspects that people trust your approach.
Having participated in the 0-to-1 journey, I've learned that authenticity and transparency are the foundations of success. Efforts aligned with a clear vision will always pay off.
GenAI and cybersecurity for leaders: We are launching a quick one-hour course. In a way, we would love to give it away for free for the first 100 users. If you are interested, please share your feedback.
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