And that is why we see a growing adoption of AI agents. It provides greater customer satisfaction and automation of arduous repetitive tasks, freeing up teams to concentrate on innovation, relationship-building and closing deals. On top of that, these AI agents provide valuable reports and insights, uncovering hidden market and customer behavior patterns, enabling businesses to identify new opportunities and bottlenecks. In a recent survey, 73% of sales professionals agreed that AI can help them pull insights from data they otherwise wouldn't be able to find.
A recent report stated that 89% of sales teams in India have fully implemented or are experimenting with AI. And in this competitive environment, having the edge depends heavily on what tools you are employing. Most AI applications have been in the form of AI chatbots, and it is easy to confuse AI agents with them- the difference lies in their capabilities. Chatbots provide predefined answers to the users, which are immutable and the same for every user. Meanwhile, AI agents enable a personalized experience where they may respond to a query with a more fleshed-out answer curated with information that might be relevant only for that user specifically. This means in the domain of sales, an AI agent can learn information on leads quicker and provide more personalized communications- reducing the timeline and improving the conversion rate. AI agents are also smarter when it comes to passing back control to human counterparts.
A study examining the impact of AI tools on productivity revealed that sales agents handled 13.8% more customer inquiries per hour, with 78% of sales professionals agreeing that AI can help them spend more time on the most critical aspects of their role. With their greater flexibility, reliability, and efficiency, AI agents prove to be more effective when it comes to converting predictive insights to actions.
Predictive analytics often generate vast amounts of data where not all data points are relevant, which can be overwhelming for any sales team. The insights may not always align with the team's specific KPIs, causing confusion or resistance, making prompt actions or pivoting difficult. With AI agents, even if actions on predictive insights require changes in existing sales processes, we can be assured of swift and effective implementation across all interactions. And there is no worry about continuous training for the sales team- with easy updates, AI agents can reliably keep up with evolving predictive technologies.
Moreover, AI Agents also contribute to a more inclusive and equitable society by empowering differently-abled individuals to perform tasks that were previously challenging. The AI agents can assist the users through personalized interfaces, predictive text, and communication tools that cater to the specific needs of each user. The ability of these AI Agents to swiftly adapt to the unique requirements of each person improves interactions, reduces the time cost, and enhances the experience of the users on either side. So, it makes you wonder, why hasn't AI revolutionized our workplaces yet?
