Treating enterprise AI as an operating layer

Enterprise AI advantage won't come from access to foundation models alone, but from embedding AI as an operating layer within existing platforms. Incumbent organizations hold three compounding assets: proprietary operational data, domain expert workforces generating training signals, and accumulated tacit knowledge. The key strategy is knowledge distillation — converting expert decisions into machine-readable signals that feed a continuous learning flywheel. A human-in-the-loop design places experts at decision branch points, turning every correction and approval into high-value training data. Organizations that can instrument their operations and compound institutional knowledge into improving AI systems will hold the most durable competitive edge.