tech
AI is stress-testing your foundation
For two decades, the most valuable parts of enterprise software sat behind a barrier: workflows built around how the organization actually ran, automations eight steps deep, judgment calls baked into every exception. That's real depth, the kind serious work depends on and the kind that took weeks, months or longer to master.
TL;DR
- For 20 years, enterprise software value was locked behind complex workflows, accessible only to a few experts.
- AI has removed this barrier by translating plain language descriptions into automated steps.
- 87% of users who previously only viewed information became active creators with AI-enabled workflows.
- Removing the complexity barrier also exposes underlying issues like broken workflows and inconsistent data.
- AI does not fix broken processes; it exposes and scales them.
- A strong foundation with governed data, clear boundaries, and human checkpoints is essential for safe, broad AI access.
- Expertise is shifting from operating systems to validating AI's output and making final decisions.
- The core challenge is no longer whether people can use software, but whether the accessible systems are sound and scalable.