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Going from two to three - how enterprise apps are making space for AI

Enterprise software is no longer a two-player game. AI forces a fundamental shift in how people, applications, and autonomous systems interact — and who's accountable when something breaks.

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The KeyNews take

Why it matters

As AI moves into enterprise workflows, the traditional user-app relationship is splitting into three roles: human, application, and AI agent. This changes everything about accountability, governance, and how work actually gets done in large organizations.

The key facts

8 to know
  1. Oracle NetSuite framing: two-way (people + apps) → three-way (people + apps + AI)

  2. Accountability and role definition emerging as central design question

  3. Users reshaping software itself — not just configuring it

  4. Enterprise deployment angle: how organizations are adapting governance for AI agents in production

  5. Oracle NetSuite executive argues AI introduces a three-party arrangement in enterprise software

  6. Shift implies new accountability structures in enterprise AI deployment

  7. Users gaining ability to reshape software behavior through AI mediation

  8. Applies to how workers will interact with legacy enterprise applications going forward

Go to the source

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Publisher excerpt: Enterprise software runs on a simple two-way relationship between people and applications. Oracle NetSuite's Brian Chess argues AI is now forcing a three-way arrangement instead - one with clearly defined, accountable roles, while letting users reshape the software itself.
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