AI-native ITSM replaces weeks of workflow coding with instant generation
Traditional ServiceNow workflows require weeks of manual development; Serval uses AI to generate workflows and database sync code instantly from natural language, collapsing implementation…
Application layer must embrace model improvements not fear obsolescence
Jake Stauch argues application layer companies should welcome new foundation model releases because their product is the boundaries and controls that make models enterprise-ready, not the r…
Two-agent architecture separates control plane from execution plane
An admin agent builds approved tools and skills with permissions, while a help desk agent uses only those pre-approved tools, enabling both autonomy and enterprise governance.
Autonomy-control tension defines enterprise AI adoption
Individual employees want autonomous AI agents while organizations need control layers; companies that default to yes on AI adoption will pull ahead despite security incidents.
With accelerating change, organizational agility requires smallest possible number of best people; hiring 'fewer better' enables rapid reinvention that large headcounts cannot.
AI application unit economics favor code-gen-once run-many model
Serval's approach of generating automation code once and executing it repeatedly avoids per-request token costs, yielding strong unit economics without optimization.