TLDR: Aytekin Tank, CEO of Jotform, has shared three crucial lessons learned during the development and launch of their first AI agents. These insights emphasize the importance of understanding customer interaction points, prioritizing efficiency through data, and avoiding overly human-like AI personas to maintain user trust.
In a recent publication, Aytekin Tank, the founder and CEO of Jotform, provided a candid look into the company’s journey of developing and deploying its inaugural AI agents. With nearly two decades of experience overseeing product launches, Tank highlighted that the foray into agentic AI, a concept Jotform began exploring as early as 2023, presented unique learning opportunities. Amidst the significant hype surrounding AI agents and their potential to revolutionize business operations, Tank shared three pivotal lessons for other leaders considering similar implementations.
One primary lesson underscored by Tank is the critical importance of ‘Reaching Customers Where They Are’. He emphasized that a deep understanding of customer needs is paramount, ensuring that regardless of how a customer interacts with a Jotform AI Agent, the experience remains cohesive and intuitive. Tank noted that AI agents are fundamentally reshaping how businesses engage with their clientele. To create truly valuable AI agents, companies must diligently listen to data, prioritize operational efficiency, and strategically meet users at their preferred interaction points. Furthermore, he stressed the necessity of maintaining flexibility and a willingness to adapt to evolving realities, much like with any other product development.
Another significant insight from Jotform’s experience pertains to the ‘people-skills’ of AI agents. Counterintuitively, Tank pointed out that overly human-sounding agents can become a liability. This observation is supported by research from Salesforce, as cited by Yvonne Gando, Salesforce’s senior director of UX. Gando explained that when AI agents are endowed with human-like personalities, users may begin to relate to them as they would to a person. If these agents then fail to meet those human-level expectations or misinterpret a query, it often leads to user disappointment and a subsequent loss of trust in the brand. Therefore, the more effective approach is to keep AI interactions helpful and approachable without fostering a false sense of human connection.
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Jotform’s experience serves as a practical guide for businesses navigating the complex landscape of AI agent development, reinforcing that strategic design and a clear understanding of user interaction are key to successful deployment.
