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

Name: Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch
Uploaded: 2026-05-19T12:00:56.000Z
Duration: 38 min 24 s
Channel: Sequoia Capital

Sequoia CapitalMay 19, 202638m

Topics26

Closing the Gap Between Idealized Jobs and Reality0:00 Introduction to Serval and Enterprise Service Management0:43 Why the World Needs an AI-Native ServiceNow1:00 ServiceNow's Original Innovation and Its Limitations1:30 Business Process Change and the Need for Faster Automation2:30 Serval's Approach: AI-Powered Workflows and Databases3:32 Making Automation Easier Than Manual Work4:00 Managing Duplicate Automations and Slop5:30 Customer Focus and North Star Metric6:30 Application Layer Companies vs Foundation Models7:30 Two-Agent Architecture for Security and Control9:32 Model Choices and Trade-offs11:00 Cost Considerations and Unit Economics13:30 Will Foundation Model Companies Compete Directly15:30 Customer Segments: AI-Native vs Large Enterprise18:00 Internal Use of Serval at the Company21:00 Talent Acquisition and Long-Term Relationship Building22:01 Why People Join Serval22:30 What Serval's Culture Is Not23:30 Building an AI-Native Organization25:01 How the Founder's Role Has Evolved27:31 Reinventing the Organization at AI Speed29:00 Acting as the Translation Layer Between Foundation Models and Customers30:02 Contrarian View on Autonomy Versus Control31:30 Current Biggest Challenge: Hiring and Talent Density34:00 Desired Long-Term Impact36:30

In a Nutshell

Jake Stauch founded Serval to replace ServiceNow with an AI-native platform that lets users describe desired workflows and databases in natural language, which the system instantly converts into production code. Serval uses a two-agent architecture—an admin agent that builds approved tools and a help desk agent restricted to those tools—to deliver secure, automated employee support while preventing uncontrolled duplication. The company runs an AI-first organization that eliminates entire roles like solutions engineering and SDRs, prioritizing extreme talent density and rapid self-disruption over scale.

AI-Generated Notes

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There's always a gap between the idealized vision of what you think your job is going to be and what your job actually is. This is true for every profession. Kids idealize roles like firefighter or astronaut, and then when they get into the job they realize there's a lot they don't like. Serval wants to be the tool that closes the gap between what you think your job is going to be and what your job actually is.

Jake Stauch is the founder and CEO of Serval. The company is building the next generation ServiceNow, described as an AI-native service now. Serval is a platform for employee support. The technical term is enterprise service management, which means getting help at work. The ideal way to get help at work is to ask for something and get it instantly and automatically without waiting for someone to track down and assign a ticket.

Employees need help at work. The goal is to provide automated support so people get help immediately rather than waiting on manual ticket assignment. This requires some kind of automated support, and that automation is best built with AI. The approach is to think from first principles about how to support employees by automating all requests using AI.

When ServiceNow was founded around 2007-2008, it represented a big step function change over Peregrine and Remedy. The key insight was to think about enterprise software as workflows on top of a database. ServiceNow built a flexible workflow configuration engine on top of a database, which was groundbreaking at the time. However, the problem with their workflows and databases is that they require a lot of manual effort to build and maintain. Building those workflows often requires dedicated development resources and can take weeks to months.

In an era where business processes are changing very rapidly, by the time a workflow is implemented the business may have already moved on and want a different workflow. Automation runs behind where it should be. The same issue exists with databases. Manually updating IT assets and keeping them current is very painful and requires consultants or internal developers.

Serval keeps the core primitives of workflows on top of databases but allows AI to build the workflows and update the databases. The codegen engine lets users describe the workflow they want including all steps, permissions, approvals, and logic. The system turns natural language descriptions into code so workflows appear instantaneously with practically zero development time. The same approach applies to databases: users describe what data they want from which sources and the system generates the code to fetch and keep that data up to date without manual intervention.

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

Closing the Gap Between Idealized Jobs and Reality00:00

Introduction to Serval and Enterprise Service Management00:43

Why the World Needs an AI-Native ServiceNow01:00

ServiceNow's Original Innovation and Its Limitations01:30

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