The New Economics of Mid-Market AI
Three converging forces are reshaping the economics of AI for mid-market businesses: the dramatic drop in foundation model pricing (Claude 4.5 is 60% cheaper per token than its predecessor), the maturation of open-weight models that can run on modest infrastructure, and AWS Bedrock's expanding model marketplace that eliminates the need for dedicated ML engineering teams.
For companies with 50–500 employees, this convergence means that production-grade AI — not demos, not POCs, but real systems that drive business value — is now financially viable for the first time.
The implications are significant. Mid-market firms that move now will build competitive advantages that compound over time: better customer experiences, faster operational workflows, and data assets that improve with every interaction. Those that wait will face a widening gap.
Rezyl Take
If you've been waiting for the right moment to move from POC to production, this is it. The cost-capability ratio has crossed a threshold that makes enterprise-grade AI viable for mid-market firms. We're advising our clients to prioritize one high-impact AI use case and push it to production within 90 days.