
Why 85% of enterprise AI projects fail at adoption — and how to fix it.
The four operating bottlenecks that stall adoption, and the order in which to resolve them.
Two lines of thinking: execution playbooks for enterprises, and long-term R&D thesis.

The four operating bottlenecks that stall adoption, and the order in which to resolve them.

The three-layer architecture from Source of Truth to AI CFO Agent Layer, and how to keep Auditability at 100%.

Why Fiduciary Duty is a design constraint, not a legal clause bolted on afterward.

How to activate a Champions network against real job roles, rather than running one workshop and stopping.

How to pick the high-frequency, high-value workflows worth redesigning first.

A long-term view of how multiple agents coordinate inside an organization.

Agent access permissions, approval mechanisms and human checkpoints.

A research position, not a near-term product promise.

An emerging concept for AI assistance grounded in work context.