Win by Failing? Getting Buy-in for AI | Pecan AI

Win by Failing? Getting Buy-in for AI

Learn how embracing failure in AI projects can lead to successful buy-in from business stakeholders. Accelerate your AI success.

In a nutshell:

  • Acknowledge the likelihood of failure in early AI projects to build trust with stakeholders.
  • Embrace failure as a learning opportunity to uncover the most valuable AI applications.
  • Failing fast allows for rapid iteration and finding the ideal use case.
  • Start today to accelerate learning and uncover the most valuable AI applications for your business.

‎‎Zohar Bronfman, Pecan's CEO and co-founder, explains one approach to getting buy-in in the video above — or keep reading for more!

Many data leaders face challenges in securing buy-in from business stakeholders for their AI initiatives. But there's a counterintuitive approach that's proving effective in aligning these crucial stakeholders.

Set Expectations for Initial Setbacks

Data leaders are finding surprising success by openly acknowledging the high likelihood of failure in the early stages of AI projects.

By transparently communicating that a pilot AI project over the next few months may not yield immediate results, they build trust and engage business stakeholders in the learning process.

Reframing failures as learning opportunities allows teams to eliminate AI applications that aren't a good fit for the business and uncover areas where the true value lies. Stakeholders become collaborative partners in the iterative journey toward success.

Fail Fast, Learn Faster

In the AI realm, it's often necessary to experience a few small-scale failures before achieving a major breakthrough by finding the ideal use case.

Failing fast has its advantages – you quickly gain insights into what works and what doesn't, enabling rapid iteration. The first minor setback begins to reveal where the value lies and where to double down for the business.

Embrace Failure to Succeed

By embracing the likelihood of initial failures in AI projects, data leaders can build trust and engagement with business stakeholders. These early setbacks help teams rapidly learn which use cases are relevant, allowing them to swiftly pivot away from misguided efforts and focus on the most promising areas for applying AI.

Ready to give it a try? Let us give you a guided tour of Pecan's automated predictive AI platform. Our fast, automated predictive modeling capabilities will help your team quickly experience worthwhile small failures and set them up for significant success. Accelerate your learning and uncover the most valuable AI applications for your business. Get started today!