For the past six months, I’ve been leading the development of a custom AI assistant for our organization. It began with the straightforward concept of offering an alternative to publicly available chat assistants like OpenAI’s ChatGPT or Google’s Gemini. However, it has evolved into a comprehensive platform powering multiple bots tailored to specific business units, departments, and individual needs.
The feedback on the AI Assistant has been positive, with people reporting productivity gains. It is also helping to break down knowledge and information silos within the organization.
A common question I receive is why we opted to build our own solution instead of leveraging existing assistants like ChatGPT, Perplexity, Microsoft’s Enterprise Copilot, or the plethora of other options available. After all, isn’t the AI chat assistant landscape already saturated? While there are indeed numerous products vying for a slice of this multi-billion dollar market, I believe we are still in its nascent stages. The optimal workflows and functionalities to integrate into these tools are still under exploration by all players.
In this blog post, I’ll delve into the reasons why I believe organizations should strongly consider building their own AI assistants. It’s important to clarify that I’m not advocating for everyone to embark on building entirely from scratch.
Continue reading “Why you should consider building your own AI assistant?”
Shekhar Gulati 