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What is different when rolling out AI compared to other software?

Over the past decades, we have used deterministic software like CRMs, ERP systems, wikis, and word editors. The entire workforce today can use computers and these software tools. With deterministic software, if you click button X, action Y always happens. Compared to this traditional behavior, if you send the same prompt to an AI model, the response will never be 100% the same. This is because AI models are stochastic software. The benefit: AI is highly customizable and can be utilized in every area of your organization. The challenge: It requires education and training of users. Rolling out AI internally brings the opportunity to improve many processes, and users are excited to try this new software and advance their skills.

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The ideal setup

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Leadership buy-in

Companies with the highest AI adoption and productivity gains have AI deeply embedded in their strategy, with leadership pushing this topic. It’s not only owned by IT or a smaller department but by C-level members. They regularly make AI a key priority, create visibility internally and externally, and convince departments to experiment and find use cases. This internal support makes it easier for everyone involved because it allows experimentation and learning. For leadership, rolling out AI helps future-proof the company and streamline operations.

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Internal AI owner / team

We recommend having at least one AI owner in the company: hire or assign one person whose main job is to adopt AI and improve processes with AI. This is often a Chief AI Officer, innovation manager, or member of the digital team. This is a great opportunity for both the company and the person taking over this responsibility:
  • For the company: Investing personnel costs into adopting AI is often more efficient than buying the most expensive tool
  • For the AI owner: The role shapes processes across the entire company, collaborates with all departments, and often has board exposure since AI is a top priority for leadership

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AI champions

One important job of the AI owner is to find champions in each department. They should learn as much as possible about Langdock and AI and transfer this knowledge to people across different departments. In the departments, you have people who are power users and very excited about AI. Usually, many people are interested in becoming early adopters of AI. They give feedback, help with building use cases, and bridge between their colleagues in the departments and the AI owner.