SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO - The Official SaaStr Podcast: SaaS | Founders | Investors Recap

Podcast: The Official SaaStr Podcast: SaaS | Founders | Investors

Published: 2026-01-07

Duration: 53 min

Summary

In this episode, Philippe Lacour, CRO of Personio, shares insights on transforming go-to-market (GTM) teams using AI, emphasizing both bottom-up and top-down strategies for effective implementation.

What Happened

Philippe Lacour kicks off the episode by discussing Personio's journey to becoming an AI-powered go-to-market team. He highlights their 'AI Search Week,' which engaged employees by providing access to large language models (LLMs) and featuring talks from industry leaders. Despite the initial success, they recognized that high usage of AI tools wasn't enough for true transformation, which led them to establish an AI-Powered Go-to-Market initiative in mid-June.

Lacour outlines five key lessons learned from their journey. The first emphasizes the need for both bottom-up and top-down approaches in driving transformation. This means not only equipping team members with AI tools but also ensuring leadership supports resource allocation and workflow changes. The second lesson highlights the importance of a cross-functional approach, integrating teams from data, systems, and revenue operations to enhance the effectiveness of AI implementations. By fostering collaboration, Personio was able to better align their technological advancements with business needs, mitigating the risk of disjointed efforts.

As they began to prioritize AI projects, Lacour mentions the struggles with managing an influx of ideas. To address this, they adopted frameworks like 'jobs to be done,' which allowed them to analyze the specific tasks required in various go-to-market roles. This strategic focus helped identify inefficiencies and streamline processes, ultimately leading to a more effective AI-powered workflow. Lacour's insights provide a roadmap for other companies looking to integrate AI into their GTM strategies, demonstrating the importance of structured collaboration and clear prioritization.

Key Insights

Key Questions Answered

What is Personio's AI-powered go-to-market initiative?

Philippe Lacour explains that the AI-powered go-to-market initiative was launched to improve the company's effectiveness in leveraging AI tools. After their AI Search Week, where employees were introduced to LLMs, they recognized that while usage was high, true transformation required more structured efforts. Hence, they initiated a Slack channel to facilitate ongoing discussions and resource sharing.

How did Personio's AI Search Week impact employee engagement?

The AI Search Week was a significant success, with employees across the company engaging with LLMs and participating in talks from industry leaders. Lacour noted that this initiative created a buzz within the organization, leading to about 90% of the go-to-market team using LLMs weekly. However, the excitement wasn't enough for true transformation, which prompted the subsequent initiatives.

What are the key lessons learned from building AI-powered teams?

Lacour shares five key lessons: the necessity of top-down support alongside bottom-up initiatives, the importance of cross-functional teams, the need for clear prioritization frameworks, and the value of understanding specific roles through the jobs to be done framework. These lessons emphasize the importance of structured collaboration and resource allocation in achieving effective AI implementation.

Why is a cross-functional approach vital for Personio?

The cross-functional approach has proven vital for Personio as it integrates various teams such as data, systems, and revenue operations. By combining expertise from these different areas, they can ensure that AI implementations are aligned with business contexts and needs, thus preventing disjointed efforts and enhancing overall effectiveness.

How does Personio prioritize AI projects?

To manage the influx of ideas generated during their AI initiatives, Personio adopted prioritization frameworks such as the jobs to be done concept. This approach allowed them to assess the specific tasks associated with different roles, helping them identify inefficiencies and streamline workflows, ultimately facilitating a smoother transition to AI-powered operations.