Should PulsePoint deploy an AI chatbot now or wait? On one hand, the CEO, Jeannie, sees generative AI as an inflection point. Competitors that successfully leverage the tech could offer faster, more personalized interactions while lowering costs. Early adoption could position PulsePoint as an industry leader! And as the reading states, AI capabilities are improving at a pace where waiting even a year means falling generations behind. From this standpoint, delaying deployment risks competitors gaining a huge advantage.
But rushing in is equally risky. The CTO’s concerns about hallucinations about privacy reflect unresolved technical vulnerabilities that could pose a threat to customer trust. Moreover, PulsePoint’s largest client directly objects to AI handling their service interactions, threatening revenue and exposing broader market resistance. Internally, leaders in sales and customer care worry about losing irreplaceable human nuance and the company’s reputation for high-touch relationships. PulsePoint’s core challenge is low margins, not a lack of powerful tech. I feel that deploying AI purely out of fear of missing out would be the wrong strategy and would not align with the company’s values.
So what should they do now? Move forward, but not with an immediate customer-facing chatbot. I think that a phased, internally focused approach offers the best of both worlds. PulsePoint can adopt generative AI behind the scenes to do internal tasks like support customer-facing reps and accelerate training, capturing margin improvements without alienating customers or destabilizing teams. This pilot program could ensure that the AI tooling being created is ready to face customers when the time is right.
