Brian Diamond
Fractional Chief AI Officer
Brian Diamond is a fractional Chief AI Officer and founder of Onaro. He has spent 30 years running infrastructure operations and founded LANStatus, a Connecticut managed services provider and Microsoft partner, in 2001. He holds a Chief AI Officer certification and writes the CAIO Brief on AI leadership for finance and operations.
Insights articles
- AI Reporting Metrics That Finance Can Use
- How to Forecast Agent Workloads for AI Budgets
- How do MSPs bill clients for AI usage?
- How do I account for AI agent spend in the general ledger?
- How do I allocate AI spend in Microsoft Dynamics 365 Business Central?
- How do I book OpenAI or Anthropic invoices in NetSuite?
- How do I do chargeback for AI usage?
- How do I track AI costs in QuickBooks Online?
- Is there an open standard for AI agent spend data?
- What is the journal entry for AI token usage?
- Who owns AI spend, finance or IT?
- Which AI Costs Need Accruals? A Practical Guide
- Copilot Studio Cost Management for Finance Teams
- How to Book AI Subscriptions in the General Ledger
- Centralized Versus Federated AI Budgets
- AI Finance Operations Trends That Matter in 2026
- AI Spend Visibility Case Study: From Bill to Owner
- AI Chargeback vs. Showback for AI Spend
- Top Enterprise AI Reporting Metrics That Matter
- Validating Production AI Outputs at Scale
- AI ROI Measurement Case Study That Holds Up
- Setting AI Risk Thresholds That Hold Up
- AI Assurance Versus Compliance in Production
- Copilot Credits are a currency. Who's keeping the books?
- FOCUS™ and the AI Spend Gap
- AI Inventory Versus Model Registry Compared
- Who Owns AI Risk Decisions in the Enterprise?
- How to Map AI Dataflows Across Your Enterprise
- An AI Governance Framework That Works in Production
- A Guide to Responsible AI Testing in Production
- Emerging Standards for AI Oversight in Practice
- AI Assurance Requirements for Production Systems
- A Practical Guide to AI System Inventory Control
- Production AI Alerts Setup for Real Oversight
- Building a Model Risk Taxonomy for AI Governance
- How to Manage AI Exceptions in Production
- Centralizing Enterprise AI Inventory for Control
- Why AI Projects Lack Oversight in Production
- Production Model Decision Logging That Holds Up
- AI Investment Governance That Proves Value
- What Makes AI Evidence Defensible in an Audit?
- Executive Dashboards for AI Accountability
- A Practical Guide to AI Oversight Dashboards
- AI Observability Versus Governance Platforms
- AI Agent Budgets, Alerts, and Spend Policies
- AI Agent Chargeback: Allocating Agent Spend to Business Units
- Benchmarking Agent Economics: What Normal Costs Look Like by Vertical
- EU AI Act Transparency: What Finance Must Be Able to Produce
- How to Calculate Cost Per Outcome for AI Agents
- The CFO's Guide to AI Spend Under Management
- What Is Agent FinOps?
- Why Agent Governance Platforms Don't Answer the Cost Question
- AI Compliance Review for Production Systems
- Production AI Documentation That Stands Up
- How to Document AI Decisions in Production
- How to Measure AI Governance ROI in Production
- How to Govern AI Agents Across Production
- AI Oversight Platform Review: What to Test
- How to Create AI Policy Workflows That Operate
- A Guide to Audit-Ready Evidence for AI Teams
- Enterprise AI Monitoring Review Criteria
- AI Governance Implementation Roadmap for Production Teams
- How to Govern Multiple Models in Production
- Guide to AI Spend Accountability at Scale
- AI Governance Regulations Outlook for Enterprises
- Guide to AI Control Mapping for Enterprise Teams
- What Is Enterprise AI Governance in Practice?
- AI Governance for Regulated Industries at Scale
- Guide to AI Governance Reporting
- AI Governance Trends 2026
- AI Governance Rollout Example That Works
- Why Does AI Governance Matter in Practice?
- AI Policy Exceptions Workflow That Holds Up
- How to Centralize AI Oversight
- How to Govern AI in Production
- AI Governance for Model Sprawl
- Best Tools for AI Policy Enforcement
- 7 Top AI Cost Control Strategies
- AI Governance Implementation Example
- Centralized vs Federated AI Governance
- What Enterprise AI Oversight Actually Requires
- AI Governance Operating Model Explained
- What an AI Compliance Platform Should Do
- Enterprise AI Spend Controls That Work
- 8 Top Ways to Reduce AI Spend
- Enterprise AI Governance Platforms Review
- A Guide to Enterprise AI Controls
- Continuous AI Compliance Workflows Explained
- Generative AI Governance Checklist for Teams
- AI Governance vs AI Compliance Explained
- 7 Best AI Governance Dashboards to Evaluate
- AI Governance Metrics for Executives
- A Practical Guide to AI Incident Response
- Enterprise Guide to AI Oversight
- A Guide to AI Governance Workflows
- How to Reduce AI Waste in Production
- How to Prove AI Compliance in Production
- Measuring AI ROI Governance in Practice
- Best Practices for AI Guardrails
- How to Monitor Model Usage at Scale
- AI Governance Platform Comparison Guide
- How to Operationalize AI Policies
- What Is AI Governance Operations?
- Guide to Vendor Model Oversight
- 10 Best Enterprise AI Governance Tools
- Future of AI Governance Operations
- AI Cost Governance for Enterprise Teams
- How to Track AI Spend Across the Enterprise
- AI Usage Visibility Across Teams That Holds Up
- What an AI Policy Management Platform Does
- AI Governance Workflow Automation That Works
- Production AI Monitoring That Holds Up
- 12 AI Governance Controls Examples
- How to Audit AI Systems in Production
- What AI Audit Trail Software Should Track
- What an AI Compliance Monitoring Platform Does
- How to Evaluate AI Risk Management Tools
- What AI Governance Software Should Do
- Enterprise AI Governance Framework That Works
- How to Implement AI Governance