AI Business Systems
Run a Quarterly AI Portfolio Review: Keep, Fix, Scale, or Stop
A repeatable executive review that reallocates funding using strategic fit, value, capability, adoption, cost, risk, and learning.
By Mason 路 2026-09-15
Ideas from the community
Original ideas, practical lessons, and community writing about AI risk management.
AI Business Systems
A repeatable executive review that reallocates funding using strategic fit, value, capability, adoption, cost, risk, and learning.
By Mason 路 2026-09-15
AI Business Systems
Expand a proven capability through reusable architecture, controls, enablement, operating ownership, and staged evidence鈥攏ot copy-and-paste rollout.
By Mason 路 2026-09-15
AI Business Systems
Keep one factual core while adapting relevance, evidence, concerns, and calls to action for each stakeholder group.
By Mason 路 2026-09-15
AI Business Systems
Move from alignment to bounded launch and evidence-based expansion through three focused 30-day phases.
By Mason 路 2026-09-15
AI Business Systems
Create an AI-specific incident plan covering detection, containment, evidence, decision authority, communication, recovery, and learning.
By Mason 路 2026-09-15
AI Business Systems
Compare AI vendors across strategic fit, data practices, evidence, integration, controls, economics, resilience, and exit.
By Mason 路 2026-09-15
AI Business Systems
Use consequence, ambiguity, values, relationships, accountability, and reversibility to place meaningful human authority.
By Mason 路 2026-09-15
AI Business Systems
Assess technical, operational, human, and legal or reputational risk in one decision-ready view.
By Mason 路 2026-09-15
AI Business Systems
Build the smallest governance system that still creates visibility, ownership, risk-based controls, evidence, and incident response.
By Mason 路 2026-09-15
AI Business Systems
Design an AI governance council with a narrow mandate, decision calendar, evidence packet, and measurable service levels.
By Mason 路 2026-09-15
AI Business Systems
A federated model for safe local experimentation with shared policies, platforms, evidence, and escalation.
By Mason 路 2026-09-15
AI Business Systems
Create clear authority levels for AI input, drafting, recommendations, actions, approvals, overrides, and shutdown.
By Mason 路 2026-09-15
AI Business Systems
A small outcome-focused team structure that combines business knowledge, technical delivery, risk, data, and frontline experience.
By Mason 路 2026-09-15
AI Business Systems
Clarify executive sponsorship, business ownership, technical delivery, risk oversight, and employee responsibility without creating bureaucracy.
By Mason 路 2026-09-15
AI Business Systems
An AI scorecard combining business impact, quality, adoption, operating performance, and risk before a pilot begins.
By Mason 路 2026-09-15
AI Business Systems
A total-cost framework covering preparation, implementation, operation, governance, change, and eventual replacement.
By Mason 路 2026-09-15
AI Business Systems
An evidence-based AI business case using a baseline, benefit ranges, full costs, confidence levels, and a stop decision.
By Mason 路 2026-09-15
AI Business Systems
Six scale tests for distinguishing a useful AI pilot from a demonstration that cannot survive real operations.
By Mason 路 2026-09-15
AI Business Systems
A transparent scoring method for comparing AI initiatives without allowing enthusiasm, vendor demos, or a single weighted total to make the decision.
By Mason 路 2026-09-15
AI Business Systems
Build a balanced AI opportunity portfolio that connects strategic priorities to measurable value, feasibility, ownership, and risk.
By Mason 路 2026-09-15
AI Business Systems
Turn broad AI ambition into a clear, testable vision that guides investment, employee decisions, customer trust, and responsible growth.
By Mason 路 2026-09-15
AI Business Systems
A practical framework for leaders to connect AI investments to business priorities, operating capability, responsible governance, and measurable results.
By Mason 路 2026-09-15