[Music] Okay, thanks everyone for coming today. Uh, so today's talk is called Building Alice's Brain. How we built an AI sales rep that learns like a human.Uh, my name is Sherwood. I am one of the tech leads here at 11X. I lead engineering for our Alice product and I'm joined by my colleague Saw.So 11X for those of you who are unfamiliar is a company that's building digital workers for the go to market organization. We have two digital workers today. We have Alice who is our AI SDR and then we also have Jul ...

Company Overview - 11X is building digital workers, including Alice, an AI SDR, and Julian, an AI voice agent [1] - The company relocated from London to San Francisco and rebuilt its core product, Alice, from the ground up [2] Alice Rebuild & Vision - The rebuild of Alice was driven by the belief that agents are the future [3] - The new vision for Alice centers on seven agentic capabilities, including chat-based interaction, knowledge base training via document uploads, AI-driven lead sourcing, deep lead research, personalized emails, automatic handling of inbound messages, and self-learning [11][12][13] Development Process & Tech Stack - The rebuild of Alice 2 took only 3 months from the first commit to migrating the last business customer [3][14] - The company chose a vanilla tech stack and leveraged vendors like Langchain to move quickly [15][16][17] - Langchain was chosen as a key partner due to its AI dev tools, agent framework, cloud hosting, observability, Typescript support, and customer support [18][19] Agent Architecture Evolution - The company experimented with three different architectures for campaign creation: React, workflow, and multi-agent systems [21] - The final architecture was a multi-agent system with a supervisor and specialized sub-agents for research, positioning, LinkedIn messaging, and email writing [44][45][46] Results & Future Plans - Alice 2 went live in January and has sourced close to 2 million leads and sent close to 3 million messages [52] - Alice 2 has generated about 21,000 replies, with a reply rate of around 2%, on par with a human SDR [52] - Future plans include integrating Alice and Julian, implementing self-learning, and exploring new technologies like computer use, memory, and reinforcement learning [53][54]

Investment Rating - The report recommends a positive investment outlook for the financial technology sector, specifically highlighting companies such as Tonghuashun, Dongfang Caifu, and Hengsheng Electronics, while suggesting to pay attention to Dingdian Software, Jinzhen Co., Changliang Technology, and Xinzhi Software [6]. Core Insights - The integration of AI in finance is expected to enhance operational efficiency and create new business opportunities across various financial sectors, including brokerage, internet finance, insurance, and banking [6][27]. - The financial industry is witnessing a significant increase in technology investment, with a total expenditure of 359.8 billion yuan in 2023, primarily driven by banks [11][14]. - AI is set to benefit both existing and new business models in the financial sector, improving backend efficiency and enabling personalized financial products and services [6][27]. Summary by Sections 1. AI and Financial Technology - The report outlines the evolution of financial technology from IT automation to internet finance and now to AI-driven solutions, marking a transformative phase in the industry [4][5]. - AI is becoming a core component of financial services, enhancing customer engagement and operational efficiency [6][27]. 2. AI Empowering Brokerage Firms - AI systems are expected to reduce costs and improve efficiency in brokerage operations, leading to increased revenue across various business lines [30][41]. - The integration of AI in brokerage firms is facilitating the development of new business models and enhancing existing services [30][41]. 3. AI in Internet Finance - AI is enhancing the operational efficiency of internet finance companies, leading to cost reductions and increased revenue [47][49]. - The deployment of AI models is expected to create new business opportunities in the internet finance sector, particularly in areas like intelligent investment advisory and customer service [47][49]. 4. AI in the Insurance Sector - The insurance industry is leveraging AI to improve underwriting efficiency and enhance research capabilities, leading to better risk management and customer service [62][64]. - AI is facilitating the automation of various processes within the insurance value chain, resulting in increased operational efficiency [70][75]. 5. AI in Banking - AI is transforming banking operations by enhancing customer service and risk management capabilities, leading to a more personalized banking experience [6][27]. - The integration of AI in banking is expected to drive innovation in financial products and services, improving overall service delivery [6][27].