KMS Technology’s CEO outlines ‘Execution Economy’ shift for AI in enterprise
Jason Wojahn, CEO of KMS Technology, argues that AI’s real value lies in execution—not just pilot projects or individual productivity gains. With decades of experience scaling enterprise tech firms like Thirdera and Accenture’s ServiceNow business, Wojahn says most organizations fail to scale AI because they treat pilots as demos rather than phase one of production. The core challenge, he…
Key points
- KMS Technology’s CEO argues AI’s value lies in execution, not just pilots or productivity gains
- Most enterprises fail to scale AI due to fragmented data, unclear decision authority, and outdated workflows
- Wojahn advocates for ‘Execution Economy’ where AI-driven workflows replace manual handoffs and approval chains
Wojahn advocates for an ‘Execution Economy,’ where AI-driven workflows replace manual handoffs and approval chains. His firm’s work with clients like Evergreen Telehealth demonstrates results: using AI-native methods, KMS delivered a telehealth platform in 75 days with embedded agents handling code generation and testing. The key, he says, is designing systems where agents handle repeatable tasks while humans own judgment and exceptions. For leaders, this means rethinking metrics beyond adoption rates—focusing instead on end-to-end workflow speed, reduced coordination bottlenecks, and measurable business outcomes like cost savings or revenue growth.
Jason Wojahn, CEO of KMS Technology
Unite.AI · 29 October 2026
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