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.
Upcoming content. These pieces are currently being written.
Insights & Playbooks.
Two lines of thinking: execution playbooks for enterprises, and long-term R&D thesis.
Group 1: Commercial Playbooks
Building an AI CFO Command Center: connecting live accounting data to Claude & Quadratic for 24/7 cash flow monitoring.
The three-layer architecture from Source of Truth to AI CFO Agent Layer, and how to keep Auditability at 100%.
Language-based AI and Fiduciary Duty in corporate finance (Prof. Andrew Lo, MIT).
Why Fiduciary Duty is a design constraint, not a legal clause bolted on afterward.
A guide to building internal AI Champions: from fear to ownership.
How to activate a Champions network against real job roles, rather than running one workshop and stopping.
Retail & SME automation: which workflow do you start with to see results in 30 days?
How to pick the high-frequency, high-value workflows worth redesigning first.
Group 2: Future Thesis (long-term technology & R&D)
From single chatbots to Autonomous Agent Swarms: the future of enterprise operations.
A long-term view of how multiple agents coordinate inside an organization.
Enterprise data security in the Agent era: permission frameworks and Human-in-the-loop.
Agent access permissions, approval mechanisms and human checkpoints.
Agent Economy & Micropayments: an R&D view on AI Agents transacting via Blockchain/Stablecoin.
A research position, not a near-term product promise.
Contextual Exo-Self: the extended AI assistant and its effect on individual productivity.
An emerging concept for AI assistance grounded in work context.
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