Enterprise AI adoption fails not because of technology, but because vendors only build half the product. The missing piece: they give individuals productivity tools but give managers nothing.
This is where most AI vendors focus — and they do it well:
Chat interfaces for exploration, Q&A, and quick answers
IDE integrations for developers and technical users
Personal automation — custom prompts, saved workflows, individual preferences
Value proposition: “Make me faster”
The problem: individual productivity tools don’t scale to team adoption. A manager can’t look at 50 personal chat windows and understand organizational impact.
Interface 2: Group Orchestration
This is what enterprises actually need to scale AI:
Workflow builders with approval chains, guardrails, and compliance controls
Template libraries ensuring consistency across users and use cases
Analytics dashboards showing team-wide adoption, usage patterns, and ROI
Value proposition: “Make my team faster”
The Gap Problem
Most vendors only offer Interface 1 — leaving managers with no way to:
The gap between “I can use AI” and “my team uses AI” is where most enterprise deployments die. Vendors who build both interfaces — personal productivity AND team orchestration — capture the enterprise market.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
