Pillar · AI in Finance
AI gives finance leaders genuine leverage, but only after the boring work is done.
Clean data. Governed process. Executive sponsorship. Without those, AI confidently produces wrong numbers faster than people used to. The hard part is the prerequisites, not the prompts.
Proof
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40+ staff trained
AI literacy programme designed and delivered for a mid-market FMCG group. Practitioner-led, finance-specific, governed from the executive layer.
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Board-level governance
AI governance frameworks built for finance functions: usage policies, vendor evaluation, data handling, audit trail. Written to survive a regulator.
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Conference speaker
Speaking on AI in finance at Irish industry events. FCA perspective, not vendor marketing.
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Practitioner, not pundit
Big 4 trained. Twenty years of running finance functions. The transformation work and the AI literacy work are the same problem at different layers.
Reading
Explore by topic
Strategy and readiness
- What the finance function of 2030 looks like: what AI changes and what stays human
- The CFO's Guide to AI Strategy in 2026
- Building an AI-Ready Finance Function: The Roadmap
9 more articles
- Is your finance function ready for AI? A five-pillar self-assessment
- AI-Ready Finance: The Practitioner's Guide
- AI Won't Fix a Broken Finance Function
- Data Quality for AI in Finance: Why Your Data Probably Isn't Ready
- What AI in Finance Transformation Actually Costs
- How to Evaluate AI Vendors as a CFO
- AI in Finance: What I Got Wrong (And What I Would Do Differently)
- The AI Hype Cycle in Finance: An FCA's Reality Check
- The First 90 Days of AI in Your Finance Function
Finance operations and controls
- LLMs for Financial Reconciliation: A Practical Guide
- AI accruals: how to test the estimate before it reaches the ledger
- AI can configure your finance system. Who checks the configuration?
11 more articles
- AI for Anomaly Detection in Financial Controls
- AI in Accounts Payable: What Actually Works (And What Doesn't)
- AI Audit Preparation: How to Use It From the Inside
- AI for treasury and cash management: where it earns its keep, where it doesn't
- AI for transfer pricing: a practitioner read
- AI for KYC screening: where it earns its keep in finance compliance
- Intelligent Document Processing for Finance: A Practical Assessment
- Machine Learning for Financial Forecasting: When It Beats Spreadsheets
- AI for the month-end close: what a closer agent actually changes
- AI in pitchbook and board pack production: from a pitch builder template to your boardroom
- When an AI agent buys from your business: the finance questions behind the sale
Finance agents and implementation
- Agentic AI for finance teams: what you actually need to know
- The pilot-to-production playbook for finance agents
- What a CFO should ask before deploying a finance agent in production
7 more articles
- Anthropic's finance agents: what they actually change about how finance teams work
- How to evaluate a finance agent template (the new vendor evaluation)
- What 64% on a finance agent benchmark actually means for your team (and what 52% on v2 changes)
- The connector problem: governed data access is the bottleneck for finance AI, not the model
- Skills, connectors, subagents: the new agent architecture, explained for finance leaders
- Continuous attestation: what audit looks like when agents are doing the work
- What the Microsoft 365 and Claude add-ins actually change for finance work
Governance and accountability
- AI Governance for Finance Functions: A Practical Framework
- What the board needs to understand about AI governance
- The ethical bypass problem: how accountants are using AI without thinking it through
5 more articles
- The security risks that arrive with AI tools in finance
- EU AI Act Annex III: what August 2026 actually means for finance teams
- CBI 2026 Supervisory Outlook: the AI section, read honestly
- Four technology providers now sit inside the UK's critical third-party regime. Finance should pay attention
- AI in corporate reporting: narrative is changing, financial statements are still human work
People and the future of finance
- Finance hiring in 2026: the three capabilities employers pay above market for
- How AI Is Changing What Finance Directors Actually Do
- What the accountancy function looks like in 2030: I was the only person in the room who didn't say 'a bit more efficient'
5 more articles
- Why junior accountants are not being replaced by AI
- Why Finance Teams Resist AI (And What Actually Fixes It)
- Why Finance Teams Resist AI (And What to Do About It)
- What clients get wrong about AI in accounting
- How to teach Copilot to write in your voice (and why it matters more than any other AI skill for finance professionals)