3464: How AppDirect Turned AI Experimentation into Measurable Business Impact

Oct 25, 2025

In this engaging discussion, Andy Sen, CTO of AppDirect and a seasoned expert in cloud subscription and e-commerce, shares his innovative strategy for AI adoption. He advocates for a bottom-up approach, where employees are empowered to experiment within a secure digital playground. Andy highlights how this grassroots method has significantly boosted productivity and innovation. He also discusses the importance of leadership fostering a culture of curiosity and support, while balancing experimentation with necessary governance.

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INSIGHT

AI Is Producing Real Code

AI now writes over half of the new code landing in AppDirect's production.
This is a measurable productivity change rather than a distant revenue story.

ANECDOTE

Internal Apps Replaced Vendor Tools

AppDirect replaced external services by building internal apps with AI.
Non-developers created useful tools that reduced vendor spend and sped workflows.

ADVICE

Create A Secure AI Playground

Give employees a secure 'digital playground' to experiment with AI.
Observe successful experiments and scale them across the company.

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What if the key to unlocking real AI transformation isn't a new enterprise platform or an executive directive, but something much simpler: listening to the innovators already inside your company?

That's the idea behind AppDirect CTO Andy Sen's philosophy on bottom-up AI adoption. In this episode, we talk about why the most effective AI strategies often begin at the grassroots level, led by curious employees who experiment first and ask for permission later.

Andy explains how AppDirect built a culture of AI experimentation by giving employees a secure "digital playground" to test ideas, measure results, and scale what works. From developers using AI to write half of the company's new code to non-technical staff building internal tools, AppDirect's approach has driven measurable productivity gains while cutting costs and improving efficiency. Rather than dictating from the top, leaders are encouraged to ask questions, support innovation, and apply a "yes, but" mindset that modifies solutions for governance and compliance instead of shutting them down.

As organizations everywhere wrestle with how to scale AI responsibly, Andy offers a fresh take on balance by empowering employees to build while ensuring security and oversight. We also explore the rise of developer-focused platforms like devs.ai, which allow teams to safely create agentic solutions across different large language models.

So, are your employees already innovating with AI while leadership lags behind? And what might your business discover if you stopped trying to control AI adoption and started observing where it's already thriving? Let me know your thoughts after listening.