Insights & Playbooks.

Two lines of thinking: execution playbooks for enterprises, and long-term R&D thesis.

Upcoming content. These pieces are currently being written.

Group 1: Commercial Playbooks

Group 1: Commercial Playbooks

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.

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%.

Group 1: Commercial Playbooks

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.

Group 1: Commercial Playbooks

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.

Group 1: Commercial Playbooks

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)

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.

Group 2: Future Thesis (long-term technology & R&D)

Enterprise data security in the Agent era: permission frameworks and Human-in-the-loop.

Agent access permissions, approval mechanisms and human checkpoints.

Group 2: Future Thesis (long-term technology & R&D)

Agent Economy & Micropayments: an R&D view on AI Agents transacting via Blockchain/Stablecoin.

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

Group 2: Future Thesis (long-term technology & R&D)

Contextual Exo-Self: the extended AI assistant and its effect on individual productivity.

An emerging concept for AI assistance grounded in work context.