As some of you may know, not only do I consult with Recruitment and HR on AI and Automation, but I also have a second business where I work with businesses on how they can scale their Conversational AI teams - through my job board, Bot Jobs. I'm cross-posting this article from there, as I think it could provide some relevance to this community.
As we delve deeper into the world of conversational AI and chatbot technologies, it becomes increasingly clear that success in this field is not just about the technology but also about the people behind it. During a recent webinar, I had the opportunity to explore how chatbot programs evolve, touching on both the technical and human aspects that drive long-term success. A central theme emerged: while many organisations focus on the technology stack, the real secret to sustainable chatbot success lies in building the right team at the right time.
This is where the Bot Jobs People Index comes into play—a framework we developed to help organisations ensure they have the right people to scale and optimise their chatbot programs. It complements Dashbot's Chatbot Intelligence Maturity Curve, which outlines the phases of technological maturity in chatbot programs. But here’s the critical part: as your chatbot strategy evolves, so must your approach to talent. Let’s dive into why this is so important.
Why People Matter at Every Stage of Chatbot Maturity
When companies embark on their chatbot journey, they often start small—perhaps a single bot, solving a specific, high-impact problem. This is the beginning of the maturity curve. Typically, this early phase requires a ‘jack of all trades,’ someone who can wear multiple hats—designer, developer, data analyst—while rapidly iterating and refining the chatbot’s functionality.
However, as your chatbot program matures, it grows in complexity. New use cases arise, different communication channels (voice, text, social media) are added, and localisation may become necessary as you scale globally. At this point, the team that was sufficient at the start won’t cut it anymore. You need specialists: conversation designers, conversational AI engineers, data scientists, and project managers. These roles become essential to maintain and scale the chatbot's success.
This evolution of talent needs is precisely why we created the Bot Jobs People Index. It helps organisations anticipate the right skills at the right time, ensuring that their teams are equipped not just to launch a bot but to scale and optimise it effectively.
Avoiding the Pitfall: The “IT Approach”
One of the biggest mistakes I see organisations make is treating chatbots like traditional IT projects—handing off the chatbot strategy to a tech team as though it were simply another piece of software to manage. This approach overlooks the fact that conversational AI is fundamentally different from other technologies.
A chatbot isn’t just a tool; it’s an evolving, dynamic interface that interacts with users in real time. It requires ongoing refinement, adjustment, and adaptation based on user feedback and performance data. Moreover, chatbots aren’t standalone—they often integrate with multiple systems across an organisation, requiring cross-functional collaboration to deliver a seamless user experience.
This complexity means that a more nuanced approach to people and talent is essential. A successful chatbot program requires a cross-disciplinary team, combining technical expertise with a deep understanding of user experience, business processes, and data analytics. The challenge is not just in building the chatbot but in continuously refining and scaling it to meet evolving business and user needs.
The Importance of Relevant AI in Chatbot Development
Another key point we discussed in the webinar is the concept of relevant AI. We talk a lot about responsible AI—ensuring that AI is ethical, transparent, and fair—but relevance is equally important. When it comes to chatbots, implementing AI for the sake of it can be a costly mistake.
Too often, I see organisations jumping to adopt cutting-edge technology like large language models (LLMs) without considering whether it’s relevant to their specific needs. While LLMs can provide incredible flexibility and power, they are also more complex and expensive to manage. The key is knowing when to deploy them and why.
For example, you don’t need an LLM to handle routine tasks like resetting passwords or processing simple form submissions—intent-based models are perfectly adequate for these functions and much more cost-effective. However, for more complex interactions, where users may ask nuanced or unpredictable questions, LLMs can play a crucial role in enhancing the user experience.
This balance between intent-based models and generative AI is what we refer to as relevant AI—using the right technology for the right task. As an organisation, you must focus on whether your AI is genuinely solving problems and adding value, not just adopting it because it’s the latest trend.
Scaling with the Right Talent: Building Teams for the Future
As chatbot programs mature, so does the need for specialised talent. Initially, the “jack of all trades” model works well, but over time, roles need to become more defined and targeted.
For global companies, this often means establishing centres of excellence, where a core team oversees the overall strategy, while local teams adapt the chatbot for specific markets, languages, and channels. This requires more than just technical expertise—it demands strong leadership, strategic planning, and a deep understanding of both global and local user needs.
The Bot Jobs People Index was designed to help organisations plan for this evolution. It provides guidance on when to hire generalists versus specialists, when to bring in external consultants, and how to structure teams for both scalability and efficiency.
Conclusion: Aligning People, Technology, and Strategy
As conversational AI continues to evolve, the gap between organisations that merely deploy chatbots and those that scale them successfully will widen. The secret to success is not just about having the latest technology—it’s about having the right people to manage and evolve that technology.
By focusing on both the Chatbot Intelligence Maturity Curve and the Bot Jobs People Index, organisations can ensure they are prepared for the future of conversational AI. Chatbots are no longer just a novelty—they are a critical component of business strategy. To realise their full potential, you need a team that is not only technically proficient but also aligned with your organisation’s goals and ready to scale as your chatbot program matures.
Remember, the right talent at the right time isn’t just a nice-to-have—it’s the key to success.