Bored of the hypothetical: Real-World AI Strategies for CFOs

Introduction: The AI Revolution in Finance

The role of the CFO is evolving rapidly. Once stewards of compliance and record-keeping, today’s finance leaders are expected to be strategic champions – guiding the business through uncertainty, delivering insights at speed, and creating operational leverage. In this new landscape, Artificial Intelligence (AI) is no longer a buzzword—it’s a boardroom priority. 

According to McKinsey, over 80% of CFOs who have adopted AI report enhanced decision accuracy, while Gartner reveals that 85% see significant efficiency gains. And yet, 61% of finance teams still haven’t integrated AI into their workflows. For finance leaders, the message is clear: it’s time to move past theoretical debates and start unlocking real-world value. 

At NoBlue2, we help forward-thinking CFOs operationalise AI—turning potential into performance.

Strategic AI: High-Impact Transformation

Let’s start with the big levers. Strategic AI isn’t about marginal gains—it’s about redefining the finance function itself. Whether it’s predictive analytics, intelligent automation, or exception management, strategic AI tools bring scale, speed, and foresight to decision-making. 

Solutions like NoBlue2’s TaskCollect a powerful tool for financial exception management. It proactively flags anomalies—like distressed suppliers—before they become liabilities. Imagine identifying a vendor on the verge of insolvency before issuing payment. That’s not just automation—that’s risk mitigation at its best. 

Other tools like Abacum, a Financial Planning and Analysis (FP&A) platform, integrate AI to streamline budgeting and forecasting, while Spendesk automatically allocates expenses into categories like accommodation or food and beverage, saving hours of manual work. 

Everyday AI: Small Wins, Big Impact

Some of the most immediate returns can come from Everyday AI that focuses on automating repetitive tasks, delivering incremental time savings that add up to significant cost reductions. As OpenAI and other platforms demonstrate, AI can handle routine tasks like summarising reports or drafting presentations, freeing up your team for strategic work. 

 

  • Faster Financial Analysis & Reporting: Any of the AI tools out there, like Microsoft Copilot, Google Gemini, ChatGPT etc can summarise lengthy reports, analyse P&L variances, or flag trends in seconds. For example, asking, “Why did gross margin drop in Q1 vs. Q4?” yields a concise, data-driven answer. 
  • Dashboard & Presentation Drafting: AI can draft investor ready slides or suggest narratives from KPIs, as seen with tools like Claap, which summarizes meetings on platforms like Google Meet or Teams. 
  • Cash Flow & Scenario Modelling: AI can build “what-if” models or sense-check assumptions, such as “What’s the impact of a 10% revenue drop?” 
  • Inbox & Workflow Management: AI summarises email threads or drafts professional replies, streamlining communication with auditors or execs. You could use it to “Summarise this 10 email thread and write a reply pushing back on the payment terms.” 
  • Team & Strategy Alignment: Tools like Zapier automate calendar summaries or turn meeting notes into actionable plans. For example, “turn these notes into a 3 bullet CFO strategy for our offsite”. 
  • Audit & Risk Spotting: AI reviews transactional data for outliers, or unusual activity and can suggest internal control gaps based on your processes, such as “Scan this list of supplier payments, does anything look off?”.
    TaskCollect excels here, identifying erroneous or fraudulent documents before payment. 
  • Time-Saving Automation: AI suggests areas for robotic process automation (RPA), drafting business cases for tech rollouts, and even drafting job descriptions, project plans etc. “Give me a business case to automate our manual expense reconciliation”. 

A real-world example comes from Anne-Claire Chanvin, Founder of Finup360, who used a ChatGPT script to automate payroll booking entries. This change meant reducing a day-long task to five minutes per accountant per country; delivering a quick win to business. 

Quantifying the Value: What’s AI Worth to Your Finance Function?

The business case is clear—and measurable. Save just 1 hour per week per person in a 25-person finance team, and you’re looking at more than £50,000/year in savings (based on an average loaded cost of £50/hour). This conservative estimate doesn’t account for improved morale or increased capacity for strategic work. Sarah Fu, Founder of ELSA Capital, a financial services firm that offers investment solutions and advisory services, noted that many CFOs spend 80% of their time on mundane tasks. AI shifts this balance, enabling focus on high-value activities. 

 

Calculation Behind the £50,000 Saving: 

  • 1 hour saved per person, per week 
  • 25-person finance team 
  • Average fully-loaded cost (salary + overheads) per finance team member: £40–60/hour (conservative estimate based on UK rates) 
  • 1 hour/week × 52 weeks × £50/hour × 25 people = £65,000/year 

Even if you factor in partial adoption, variability in savings, and downtime, £50,000/year is a fair, conservative benchmark. 

Overcoming Challenges: GDPR and Data Security

Adopting AI comes with challenges, particularly around data security and compliance with regulations like GDPR. CFOs must ensure that AI tools, whether built into Excel via Copilot or custom solutions on Azure, disable audit and API call logging to protect sensitive data. You must ensure you are compliant and that your data is secure, AI companies will not! CFOs must take the lead in defining safe AI adoption practices. 

Getting Started: A Practical Roadmap

Ready to embrace AI? Here’s where to start:

  1. Audit the Repetitive: Identify manual tasks like expense reconciliation or report formatting. 
  2. Test Tools: Experiment with ChatGPT, Excel Copilot, or TaskCollect. 
  3. Pilot Strategic AI: Implement automated reporting or smart workflows with tools like Ask Oracle. 
  4. Treat Time Like Money: Every hour saved is an investment in strategic growth. 

Conclusion: The Future of Finance Leadership

AI won’t replace CFOs, but those who leverage it will outpace those who don’t. From intelligent process automation to anomaly detection, AI is already reshaping the finance toolkit. At NoBlue2, we’re committed to helping CFOs harness AI to drive efficiency, reduce costs, and focus on strategic leadership. Start small, think big, and move fast – your team is ready to lead the finance function of the future. 

Contact us at NoBlue2 to explore how our AI solutions can transform your finance operations. 

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