Artificial intelligence in automating complex B2B sales: opportunities, limitations and risks

Modern artificial intelligence technologies, such as generative neural networks, open up vast opportunities for automating complex B2B sales. From call analysis to packaging and expert content generation, AI is becoming an indispensable tool for improving the efficiency of business processes and creating a competitive advantage.
This WhitePaper, based on the results of an open webinar with leading experts in B2B sales, offers practical recommendations and proven techniques for using AI in complex sales. The material reveals real cases of successful implementation and emphasizes the key challenges and risks associated with new technologies. **Key Content:** - Key applications of AI in B2B sales automation, including call analytics, content automation and knowledge base creation. - Next-generation technologies such as generative neural networks and how they differ from pre-existing approaches. - Real cases of successful implementation of AI tools: automation of call transcription, automation of expert content creation that effectively moves a client to a deal, content adaptation for different audiences and languages. - Practical tips for implementing AI, including addressing data collection issues, organizational changes, and overcoming cultural barriers within the company. - Risks and limitations of AI: the trust barrier, the problem of lack of information and data security issues. - The future of AI in B2B sales: creating AI assistants, training simulators for salespeople and implementing multi-lingual content packaging.