Over the past 18 months, AI has reshaped many industries and professions, with sales being no exception. Yet generic LLMs such as ChatGPT are poor at coaching - and at selling. Even data-driven AI insights are only as good as the qualitative frameworks that underpin their observations.

i-Coach AI is the first expert Sales AI Coach that follows a proven, structured coaching process and is fluent in all aspects of sales, account management, negotiation, customer success, commercial and business acumen, sales management, and sales leadership. It is powered by Imparta's award-winning, research-based Agile 3D methodology and complete, modular skills library.

Richard Barkey, Founder and CEO of Imparta, said, "GenAI is one of the few truly transformative technologies in our lifetimes and one that no sales organisation can ignore. We are genuinely excited to introduce i-Coach AI, an enterprise-grade coaching tool for salespeople, managers, and leaders. I'm using i-Coach AI myself to think through strategies around specific clients - and indeed for the whole business. This tool is designed to integrate seamlessly across various sales ecosystems and tech stacks. It also provides targeted, IP-aware coaching and practice simulations of customer conversations at multiple points of need."

As part of the launch, Imparta will be hosting a webinar 02 May, hosted by Richard Barkey titled "Leveraging Sales Methodology-Aware AI at Scale in the Enterprise". During this webinar, Richard will announce details of i-Coach AI and Imparta's upcoming course for sales teams, Leveraging AI for Sales.

He will also set out a range of essential use cases that we are rolling out across Imparta's agile sales ecosystem and across the tech stack, including

• IP-aware skills assessment and learning curation
• IP-aware AI roleplays for skills training
• IP-aware AI support built into native CRM tools for account and deal planning
• expert sales coaching (both on-demand and proactive)
• user-defined customer and coaching simulators to practice key interactions in advance