To maximize the value of AI through embedded implementation.
Durable transformation has never come from software alone. It comes from an intentional bridging of technology and business: redesigning the work, training the people, and staying until the change holds.
The frontier labs (Anthropic, OpenAI, Google) building these models currently deliver white-glove implementation where the economics demand it: the largest enterprises, served directly or through the global consultancies.
Non-enterprise organizations have access to the same technology — but the implementation that unlocks lasting organizational change is an enterprise luxury, and will be for years.
Ferguson Applied AI was built to be that bridge, accelerating organizations into the AI-native era years before the major providers will.
Organizations that move quickly to rebuild and restructure around AI will reap rewards across nearly every part of the business: improving operations, increasing profitability, and most importantly, upskilling employees and securing their future.
I've spent my career leading enterprise software deployments inside large, regulated, data-sensitive organizations, including rollouts for multiple U.S. state governments, delivered in partnership with Deloitte.
The technology was rarely the challenge; what determined success was proper change management: understanding the client's existing operations and goals, enhancing them by embedding the technology, training stakeholders at every level from analysts to executives, managing executive stakeholders, and demonstrating measurable value to the organization. It also meant meeting the security and compliance standards that regulated work demands.
I stay at the forefront of AI, exploring daily how these models should (and shouldn't) be applied. I bring that insight into every organization I work alongside, as an operator, not an advisor.