Скачать или смотреть #10: GTM AI Podcast: Leveraging AI for Collaborative, Value Based Business Cases

https://www.gtmaiacademy.com/

https://symbe.co/

Summary: In this podcast interview, Martin Blumender (CEO) and Xavier (CTO), founders of the AI startup Symbe, discuss how their product uses AI to automate and optimize the creation of business cases in the sales process. They explain the typical pain points companies face when generating business cases reactively using inconsistent spreadsheets. Symbe aims to provide a collaborative, templated platform that aligns with a company's value proposition and pulls in relevant data to build compelling business cases at scale.

The founders emphasize that business cases are decision support tools that don't always require hard ROI numbers. Symbe enables scenario modeling and establishes a foundation for the ongoing buyer-seller relationship. By orienting the entire go-to-market team around optimized business cases, Symbe promotes value-based selling.

AI powers Symbe by automating document creation, tailoring content to each client, and eventually optimizing based on deal outcome data. The business impact for beta customers includes increased sales capacity, shortened sales cycles, higher win rates, and larger deal sizes - positively influencing overall sales velocity. Symbe also empowers champions to advocate effectively to economic buyers.

When implementing AI solutions, the founders advise listening closely to beta customer feedback, releasing MVP features quickly, and iterating based on what delivers value. For successful user adoption, intuitive onboarding and a delightful user experience are critical.

Key Takeaways for Go-to-Market (GTM) Professionals:

Shift from reactive to proactive business case creation: Collaborate with champions early in the sales process to build value-based business cases that align with the customer's needs and priorities.
Standardize and automate business case generation: Use AI-powered platforms to create consistent, data-driven business cases at scale, reducing manual effort and increasing efficiency.
Focus on decision support, not just hard ROI: Business cases should include both quantitative and qualitative elements, such as scenario modeling and value stories, to help champions advocate effectively to economic buyers.
Orient the entire GTM team around optimized value propositions: By using AI-optimized business cases, sales teams can deliver a consistent, value-based message across all deals, improving win rates and deal sizes.
Empower champions to advocate internally: Provide champions with compelling, tailored business cases that speak the language of economic buyers, enabling them to drive decision-making even when sales is not present.
Embrace AI as a growth accelerator: AI can positively impact sales velocity by increasing capacity, shortening cycles, and enhancing win rates, ultimately driving company growth.
Adopt an agile, customer-centric approach to AI implementation: Continuously gather feedback from beta users, iterate on features that deliver real value, and prioritize intuitive user experiences to drive adoption.
View AI as an inevitable transformative force: While risks and challenges exist, AI has the potential to create a more efficient economy by aligning buyers and sellers around shared value.