Effective AI adoption isn't about force-fitting a new technology into a workflow. Leaders should start by identifying a significant business challenge, then assemble an agile team of business experts and technologists to apply AI as a targeted solution, ensuring the effort is driven by real-world value.

Instead of focusing on the 'how' (chat vs. voice), DoorDash's AI strategy starts with the 'what': the customer's complete, end-to-end job. For DoorDash, that's getting a physical item delivered. This grounds AI development in solving a real problem, preventing teams from chasing shiny tech without purpose.

Successful AI strategy development begins by asking executives about their primary business challenges, such as R&D costs or time-to-market. Only after identifying these core problems should AI solutions be mapped to them. This ensures AI initiatives are directly tied to tangible value creation.

Implementing AI tools in a company that lacks a clear product strategy and deep customer knowledge doesn't speed up successful development; it only accelerates aimless activity. True acceleration comes from applying AI to a well-defined direction informed by user understanding.

Housing AI strategy within IT is a critical error. The most valuable applications of AI are not technological but rather business innovations. The conversation must be led by business leaders asking what is now possible for customers and partners, with IT acting as an enabler, not the primary owner.

While many teams use AI to accelerate product development, a key advantage lies in using it to improve customer interactions. Providing customized deployment plans and deep technical answers shows customers you understand their specific needs, building trust and positioning your team as a superior partner.

Cresta's CEO categorizes customer interactions into three types: those caused by broken processes (eliminate), transactional tasks (automate), and high-emotion issues (augment humans). This framework provides a nuanced approach to AI in customer experience, moving beyond a simple automation-first mindset.

In the rush to adopt AI, teams are tempted to start with the technology and search for a problem. However, the most successful AI products still adhere to the fundamental principle of starting with user pain points, not the capabilities of the technology.

The greatest strategic use of AI isn't just to maximize efficiency and cut costs. It's to use those savings to fund and elevate the human-to-human interactions in your business, making them as personal and memorable as possible—a key differentiator in an automated world.