I joined Manish Pandya (SVP of Digital at TaskUs) and host Alp Uguray (Masters of Automation) for a TaskUs Forward webinar on operationalizing generative AI in customer experience. A few moments from the conversation worth pulling out — the full transcript is here.
On AI looking like the early days of the internet
Todd: I think in a lot of ways AI looks like the early days of the internet. It's subsidized by an ample wave of investment from the venture capitalists. You have providers like Google, Amazon, and Facebook fighting to create this excess amount of infrastructure and capacity due to competitive pressure. We also see a very low barrier to entry to build prototypes. So ultimately I think AI is the future, but definitely not all the ideas and the companies and the headlines that you see are going to stick.
On human-driven AI
Manish: At TaskUs we believe in the power of human-driven AI, or human-in-the-loop, where the technology is amplifying the capabilities of the human as they deliver — not necessarily replacing them. This has potential to deliver empathetic, personalized, and nuanced responses that only a human can deliver, and not necessarily something that an AI can replicate, although AI can assist.
On chatbots vs. the natural flow of work
Todd: Chatbots are the fastest way to deliver AI to everyone at your company — and if you remember, ChatGPT was actually the fastest-growing consumer product of all time — but there's actually little consistency with outcomes when you just roll out a chatbot. […] What we're really seeing is companies figuring out how to embed AI into the natural flow of work, and as Manish said, it's really about making AI a true co-pilot for teammates.
On a true co-pilot, not just chatbots and search
Manish: What we're seeing is that clients are expecting the generative AI solutions to complement our teams so they can be freed up to perform high-value tasks. Essentially what they're looking for is a true co-pilot for our teams, not just chatbots and search.
On systems thinking and second-order effects
Todd: We've seen a lot of companies deploying, for example, customer-facing chatbots, and then running around with their deflection rate metrics saying, "hey, we did a great job," but then they see drops in their customer loyalty and lifetime customer value. So for me the key is to think holistically about your company and value chain — try to apply what a lot of people call systems thinking — and really try to understand what is unique about AI as a technology and therefore where it can best be applied.
On agentic AI and the next few quarters
Manish: Rather than talking about the next few years, let's talk about the next few months and next few quarters. […] You will also see that not just one-shot question and response with some follow-up queries, but being able to form a chain — which is what is called agentic AI — will emerge, where you provide a task and the generative AI solution is able to string together multiple automation capabilities together.
On building trust between humans and AI
Alp: We're introducing more automation to remove the mundane tasks that people hate to do, while bringing explainable AI — why AI does certain things and what the impact is, the transparency in execution. […] It's going to build a new trust between humans and AI. That trust is going to be really important and has its own requirements, and of course it has to bring business value — measuring the ROI where it needs to be, while we are driving meaningful work of the future.
The full webinar is on YouTube. A lightly edited transcript is on this site.