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We work with leadership teams in mid-market and enterprise organizations, as well as technology-led firms operating in complex or regulated environments. Engagements typically involve AI adoption at scale rather than early experimentation.

Advisory support focused on AI operating models, governance, and execution. This includes defining how AI fits into workflows and decision structures, enabling LLM and data-driven systems, and supporting adoption beyond pilots.

Both. Engagements typically combine operating-model design with hands-on enablement to ensure AI initiatives are implemented, governed, and adopted—not just defined on paper.

Occasionally, when there is a clear need to establish operating discipline early. However, most engagements involve organizations preparing to scale AI across existing systems, teams, and governance structures.

Initial engagements typically begin within one to two weeks following an initial discussion, depending on scope and availability.

This work focuses on operating models, governance, and adoption—not selling or implementing specific tools. The goal is to ensure AI initiatives fit how the organization actually operates and can scale responsibly over time.