- TLDR
- Aaron Levie argues model intelligence still needs application software, enterprise integrations, domain expertise, and change management to become usable workflows.
- Best for
- Founders and AI transformation teams
- The tip
- Treat the application layer as the bridge between models and real enterprise workflows.
- What you need
- A target workflow
- Relevant business data
- Domain expertise
- Start here
- Map the workflow around the model
- Identify data, human, and legacy-system blockers
- Choose models by accuracy and cost for each task
- Filed note
- Aaron Levie explains why the applied AI layer is bigger than a model wrapper: the work is bridging models into real enterprise workflows, adapting the company, and earning distribution.
