🧠 Food for thought

Implications, context, and why it matters.

Serval’s 90% resolution time cut at Verkada hints at product-market fit yet a lack of public metrics raises questions

• Verkada cut median resolution time by 90% with Serval 1. Perplexity now solves over 50% of IT requests with no human in the loop 1, which suggests a shift beyond small gains over legacy IT Service Management (ITSM) tools like ServiceNow or Jira Service Management.
• There is no paying customer count, annual recurring revenue, or proof of displacement at large companies. The roster names startups like Clay and Mercor though enterprise uptake is still unclear.
• Investors tout fast shipping and near-total intro conversions, yet with no transparent growth metrics or third-party reviews it is hard to separate product-market fit from early-adopter buzz in a hyped AI infrastructure market.

Systems integrators could capture migration revenue as Serval’s natural language automation opens a new service category

• Vibe coding lets IT teams describe workflows in natural language to generate automations 2. Serval could cut deployment timelines from months to weeks since traditional ITSM migrations need heavy configuration and coding.
• Systems integrators, consultancies that implement and customize enterprise software, and managed service providers could build migration practices to move legacy ITSM workloads to Serval using its public Application Programming Interface (API) 3 and workflow-as-code model 2 that stores workflows as version-controlled code.
• Third-party developers could build automation catalogs for IT tasks such as onboarding sequences, access provisioning policies, and compliance workflows. They could sell them as Serval’s customer base grows.