Fractional CSO + AI operations
AI strategy built
into the company.
Through Takisaki Strategy, Paul serves as Chief Strategy Officer at Netcom. He leads AI strategy and connects it to working systems rather than isolated experiments.
- Role
- Chief Strategy Officer
- Operating model
- Three days each week
- Public scope
- AI strategy and execution
The operating system
Parallel capacity.
Executive accountability.
AI strategy
Identify where AI can change the business, sequence the work, and keep decisions attached to company priorities.
Specialized agents
Deploy a fleet of agents with defined roles so research, production, and operational work can move in parallel.
Marketing pipeline
Connect inputs, content production, review, and distribution into an AI-enabled operating pipeline.
AI becomes useful when strategy, ownership, and execution meet.
Most companies do not lack experiments. They lack a coherent system for choosing the right work, assigning responsibility, reviewing outputs, and improving the workflow after it reaches real users.
Paul’s role connects those layers. The strategy seat establishes the business priority. Specialized agents expand execution capacity. The operating cadence keeps judgment, review, and next actions with an accountable leader.
The result is an AI practice that behaves like part of the company, not a disconnected innovation project.
Public boundary
What can be said clearly.
Netcom has publicly announced Paul’s Chief Strategy Officer role and discusses his AI work. This page stays at that approved level: AI strategy, a specialized agent fleet, and an AI-enabled marketing pipeline. Internal data, prompts, systems, security controls, customer information, and non-public performance metrics remain private.
The engagement
Lead the change.
Build the system.
Explore the fractional Chief Strategy Officer mandate behind the work.
Explore the practice