Lio CEO Vlad Keil discusses automation and engineering focus in procurement

Summary

Lio co-founder and CEO Vlad Keil outlined a key performance indicator for the company’s forward-deployed engineers (FDEs), emphasizing the necessity for them to automate their own jobs before moving on to new tasks. Keil noted that 85% of Lio's workforce consists of engineers or those with engineering backgrounds, reflecting the company's commitment to reducing customization and enhancing self-service in enterprise solutions. In a conversation with a16z, he highlighted how Lio leverages multi-agent systems to navigate the complexities of procurement, which often involves extensive hidden coordination among various stakeholders. This innovative approach is part of a broader trend where enterprises are increasingly deploying AI agents to handle decision-making in sourcing, negotiation, and invoicing.

Analysis

Lio: Lio is an AI-native startup building multi-agent systems for enterprise procurement. The company focuses on automating end-to-end workflows that occur outside traditional systems of record, such as sourcing, RFQs, negotiations, shipment tracking, and invoicing. Its engineering-heavy structure prioritizes product development that enables self-service and reduces the need for ongoing customization in complex enterprise environments. Vlad Keil: Vlad Keil is the co-founder and CEO of Lio. He leads discussions on how AI startups can capture value in procurement by addressing hidden manual processes that incumbents struggle to automate fully. Keil highlights the role of forward-deployed engineers in building automation that allows agents to handle increasingly consequential decisions. Seema Amble: Seema Amble is a partner at a16z who co-hosts conversations on AI-native startups and their advantages over incumbent software companies. She explores topics including enterprise trust in AI agents and the challenges of internal AI builds in procurement and related functions. Elena Burger: Elena Burger is a partner at a16z who co-hosts conversations on AI-native startups and their advantages over incumbent software companies. She explores topics including enterprise trust in AI agents and the challenges of internal AI builds in procurement and related functions. AI Advantage: AI-native companies often outperform incumbents by targeting the complex, multi-stakeholder work that happens outside core systems of record in areas like procurement. Agent Deployment: Enterprises are increasingly deploying AI agents on both buyer and supplier sides to manage decisions in sourcing, negotiation, and invoicing. Enterprise Procurement: Procurement processes at large organizations involve extensive hidden coordination across emails, spreadsheets, and teams that multi-agent AI systems can address end-to-end.

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