May 19, 2026

Billion-Dollar Software Still Fails If Nobody Uses It

36 minutes

45% of internal workflows are still humans chasing humans. IT tickets. HR requests. Procurement approvals. Slack pings. Endless handoffs. This episode gets into why most enterprise automation failed, why forms are dying, and why Agentic AI is finally changing the game. AI workers. Workflow automation. Digital adoption. Employee experience. Enterprise AI.

In this episode…

Maor Ezer breaks down how AI workers are replacing rigid workflows with systems that learn, adapt, and execute like humans. They talk ROI, employee trust, autonomous agents, AI adoption, and why speed is becoming the real competitive advantage inside enterprise companies.

Key Takeaways :

• 45% of internal workflows are still human-to-human service requests

• Most enterprise automation failed because it was too rigid and broke whenever systems changed

• AI workers can already resolve 30% of IT tickets inside enterprise environments

• One AI worker moved from the 10th-best “employee” to #1 in workload handled within 30 days

• The old automation model was “if this then that.” Agentic AI works more like a human making decisions

• Employees don’t want more forms. They want to type messy requests naturally in Slack or chat

• Companies are starting to compare AI budgets directly against labor budgets

• AI adoption spikes when employees see the tech making them faster, not replacing them

• Practitioners doing the actual work usually know the best automation opportunities

• The companies winning with AI have leadership and employees aligned on transformation

• Revenue-per-employee is becoming a major metric for investors and operators

• The next phase of AI is action, not recommendation. The value is in execution, not answers

Connect with Us :

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

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