Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch

Why It Matters

By turning AI into a plug‑and‑play automation engine, Serval enables enterprises to deliver instant IT support while maintaining security and cost control, giving them a decisive competitive advantage in the AI‑driven workplace.

Key Takeaways

• AI-native service platform automates employee requests instantly in real-time.
• Serval uses natural‑language code generation to build workflows instantly.
• AI agents separate admin tooling from end‑user help desk for security.
• Continuous model evaluation balances performance, reliability, and cost considerations.
• Deep customer immersion drives product decisions, creating a sustainable moat.

Summary

In this interview, Jake Stauch, founder and CEO of Serval, explains how his company is rebuilding enterprise IT for the AI age with an AI‑native service management platform that delivers instant employee support. The solution replaces traditional ticket‑based help desks with automated, AI‑driven workflows that fulfill requests in seconds.

Serval’s core advantage lies in a natural‑language code‑generation engine that translates a plain‑English description of a workflow into executable code, eliminating weeks‑long development cycles. The platform also auto‑updates underlying databases, and a contextual AI agent consolidates duplicate workflows, guiding admins to modify or delete redundancies. By separating an admin‑side agent that configures tools and permissions from a help‑desk agent that interacts with end users, Serval enforces enterprise security while leveraging full model intelligence.

Stauch emphasizes, “If you make automation as easy as the manual step, you’ll choose automation,” and highlights the dual‑model strategy—using OpenAI for user interactions and Anthropic or Entropic models for code‑gen automation. He notes the ongoing challenge of integrating new model releases, balancing performance gains against reliability and cost, and the need for continuous evaluation.

The approach promises enterprises faster, lower‑cost IT support without sacrificing governance, illustrating how application‑layer companies can add tangible value beyond raw foundation models and create a defensible moat through deep customer immersion and rapid, secure automation.

Original Description

Jake Stauch, founder and CEO of Serval, is building a ServiceNow for the AI era. His most contrarian bet is that the product should look like boring old enterprise software, but with unlimited intelligence. Serval's architecture splits work between two agents: an admin agent that uses code generation to spin up workflows from natural language, and a help desk agent that can only act through the tools admins explicitly approve. Jake explains why his team uses OpenAI models for end-user interaction and Anthropic models for code generation, why new model releases sometimes have to be rolled back when prompt tuning breaks, and why he's not worried the foundation labs will come downmarket. He also makes the case for "fewer, better" hiring as the only durable moat in a world where products may need to be rebuilt every six months.

Hosted by Pat Grady, Sequoia Capital