Should They Deploy a Gen AI Salesbot?
The case study highlights a tension: the promise of generative AI is exciting, but its application carries strategic and relational risks that are hard to ignore. I believe that PulsePoint should not immediately implement an AI chatbot. Instead, it should start with a phased plan that initially focuses on internal use, and gradually expands outward. In this way, the team can have a viable plan to capture the benefits of generative AI without moving too fast and causing customer churn.
The Decision-Making Process
Although Jeannie is excited by the idea, she quickly learns that the CEO of Tyrell, PulsePoint’s largest client, is strongly opposed to it. In fact, he reaches out to request they are exempt from the gen AI’s salesbot’s use, noting their values as traditionalists, as well as privacy concerns. To me, that moment crystallizes the whole problem. You cannot innovate in a way that erodes the very trust and differentiation your business has been built on. PulsePoint is known for deep, personal relationships; pushing a bot onto clients who value that intimacy introduces both financial and reputational risk.
But I also resonated with Jeannie’s sense of urgency. The fear of being “left in the dust” is real. If a competitor successfully deploys generative AI to reduce costs, respond faster, and personalize more effectively, PulsePoint risks becoming the slow-moving incumbent. This is a dilemma incumbents face as new technologies emerge: move too slow, and you can plateau; but move too fast, and you break the very core of what retains your customer base.
Given the importance of both of these factors—retaining client trust while capturing the value of new technologies—internal adoption is the most viable path forward. Gen AI can be leveraged to improve sales productivity through drafting proposals, identifying top leads, and summarizing customer history, without ever touching the customer experience directly. This can help PulsePoint benefit from efficiency gains without alienating customers, while also adapting the company to AI workflows augmentation. Furthermore, this method would leverage a human-in-the-loop approach, where Gen AI makes contributions while still giving humans the final say, and the ability to refine outputs.
When it comes to eventually rolling out a gen AI salesbot externally, it is important to start small, give customers the choice to opt out, and position AI not as a cost-cutting tactic but as a value-enhancing, R&D-driven strategy. Adoption curves shift, and people that once resisted cloud computing later realized they had to embrace it.
Through a hybrid, human-in-the-loop mode approach, customer preferences can effectively be balanced with the pace of technological change. This method reframes the dual choice between “deploy now” and “wait,” offering a strategic path that balances current company and customer needs with innovation trends.
