Last updated: Clippy, I’ve got a feeling we’re not in Kansas anymore: AI copilots for your sales team

Clippy, I’ve got a feeling we’re not in Kansas anymore: AI copilots for your sales team

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The world of sales technology is buzzing with talk of AI copilots. These intelligent assistants promise to revolutionize how sales teams operate by boosting productivity and providing insights to help them close more deals.

That sounds great in theory, but what are AI copilots REALLY doing at a practical level for sales organizations today? And what might they be able to do in the near future?

Let’s dive in and explore the current state of AI copilots for sales and peek into their potential future capabilities.

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How AI copilots help sales teams today

Today’s AI copilots, which use advanced algorithms and machine learning to quickly analyze data, are already making waves in sales organizations. Natural language processing enables these virtual assistants to understand sales reps’ questions and respond quickly.

Here are three primary functions of AI copilots for sales:

  1. Informational support. AI copilots serve as knowledgeable assistants, ready to answer questions about various aspects of the sales process. They can provide guidance on managing leads, opportunities, and customer accounts within CRM systems, offer explanations about sales orders and billing documents, and help new sales reps quickly get up to speed with best practices.
  1. Navigational assistance. One of the most time-saving aspects of AI copilots for sales reps today is their ability to quickly guide them to the right place in their sales systems. The virtual assistants can provide direct links to manage leads, opportunities, and customer accounts, guide reps to specific areas for task creation and appointment scheduling, and offer quick links to view sales orders or access billing documents across different systems.
  1. Transactional capabilities. Beyond providing information and navigation, advanced AI copilots can perform actions within sales systems. They can update opportunity statuses, convert qualified leads into opportunities, create follow-up tasks and appointments, and retrieve and display sales order details during conversations.

What’s coming for AI copilots in sales 

While AI copilots are already making an impact, ongoing development in two key areas could further enhance their value in sales organizations: Advanced analytics and AI agent orchestration.

The next iteration of AI copilots aims to incorporate advanced analytics. Sophisticated analytical capabilities could potentially transform these tools from information providers to data-driven advisors.

Future AI copilots may be able to analyze sales data to identify trends and patterns. This could include forecasting which deals are more likely to close, highlighting accounts that might need additional attention, or recognizing successful sales techniques within the team.

There’s also potential for these systems to assess sentiment in customer interactions, providing insights into the health of client relationships. Additionally, they might offer competitive intelligence by gathering and analyzing publicly available data about market trends and competitor activities.

While human insight will remain essential, these analytical capabilities could provide sales teams with valuable data-driven perspectives to inform their strategies and decision making.

Another area of potential development is the concept of AI copilots as orchestrators of multiple specialized AI agents. This approach envisions the AI copilot as a central system that coordinates various AI-powered tools and processes.

This could mean that when a salesperson needs to perform a task, the AI copilot could automatically engage the most appropriate specialized tool. For instance, it might use one AI agent for data analysis, another for drafting follow-up emails, and a third for updating CRM records.

The goal of this orchestration would be to create a more seamless experience for the user, reducing the need to switch between multiple tools or interfaces. It could potentially streamline workflows by automatically triggering relevant processes based on the sales stage or type of interaction.

As with any evolving technology, the development of these orchestration capabilities will likely be gradual. It will require careful integration with existing systems and processes, and its effectiveness will depend on the quality and compatibility of the various AI agents involved.

The bottom line

AI copilots in sales aren’t just another tech fad. They’re already boosting sales team productivity, and potential future developments in analytics and AI orchestration could truly transform sales operations.

However, enterprises need to approach this technology thoughtfully, carefully considering issues of data privacy, integration complexity, and ethical AI use.

Moreover, the human element in sales – relationship building, complex negotiation, and strategic decision-making – remains crucial.

For sales leaders and CRM administrators, now is the time to start learning about this technology and considering how AI copilots might fit into your sales strategy. Whether you’re ready to be an early adopter or prefer to wait and see, staying informed about this technology is essential for staying competitive.

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