The AI Copilot acts as a sales enablement tool that automates administrative work and provides salespeople with valuable insights and support. It can conduct detailed prospect research, generate summaries of previous engagements, take live notes during meetings, automate CRM data entry, and manage follow-up tasks. Essentially, it streamlines the sales process, allowing salespeople to focus on building relationships and closing deals.
Oliv’s AI Copilot operates similarly to Rapportive but with a specialized focus on the sales profession. By utilizing large action models (LAMs), the AI can gather information from various sources such as the internet, Google, Outlook, chat messages, LinkedIn, CrunchBase, WebEx, Salesforce, HubSpot, and even SEC filings. This comprehensive data collection enables the AI Copilot to provide users with a dossier about meeting attendees, empowering salespeople with valuable information.
However, the development of the AI Copilot was not Oliv’s first attempt at improving sales team efficiency. Initially, the company created a calendar app for sales teams that optimized schedules for customer meetings. While this product gained some traction, pricing limitations hindered its growth. Oliv recognized the need for a more comprehensive solution, which led them to develop the AI Copilot.
The COVID-19 pandemic played a significant role in Oliv’s evolution. As video conferencing became more prevalent, customers began seeking assistance with Zoom calls and effective interactions. This demand prompted Oliv to refine its vision and leverage AI technology more extensively. The team initially used “baby large language models,” but with the advent of large language models (LLMs), they realized the potential to execute their ambitious plans sooner than expected.
The goal of Oliv’s AI Copilot is to act as a salesperson’s administrative assistant, automating mundane tasks and allowing sales teams to focus on revenue generation. By utilizing LAMs, Oliv’s CEO believes they can provide a more comprehensive solution compared to traditional LLMs. LAMs not only provide insights on what needs to be done but also take action on behalf of sales reps, scheduling follow-ups and completing other necessary tasks.
Ultimately, Oliv aims to use AI as a guiding force to align organizations and move them in the right direction. Chhabra envisions AI acting as a “glue” that brings everyone together and helps them make informed decisions. The AI agent developed by Oliv serves as a coach, guiding sales reps to do the right things at the right time and successfully close deals.
In conclusion, Oliv’s AI Copilot represents a significant step forward in improving sales team efficiency. By automating administrative tasks and providing valuable insights, the AI Copilot empowers salespeople to focus on what they do best: building relationships and closing deals. With its innovative use of LAMs, Oliv is at the forefront of leveraging AI technology to enhance the sales process and guide organizations towards success.
