Finance teams can leverage AI tools such as ChatGPT, Claude, or Microsoft Copilot to rapidly draft board commentaries by feeding in month-end financial data, management observations, and previous report structures. AI assists in synthesising key trends, identifying variances, and structuring narratives, significantly reducing manual drafting time and ensuring consistency.
Key takeaways
- AI excels at summarising raw financial data and identifying key variances for narrative development.
- Custom prompts incorporating company context and board preferences are crucial for relevant AI-generated drafts.
- AI tools can help maintain a consistent tone and structure across monthly commentaries, improving readability.
- Human oversight remains essential to ensure accuracy, strategic insight, and alignment with business objectives.
From Raw Data to Commentary Draft
This flow illustrates how finance teams can integrate AI into the board commentary drafting process, moving from initial data collation to a polished draft.
Watch: a 2-minute intro
From the AI Business Strategy course on AI Bytes Learning.
A worked example
You are a Senior Finance Analyst. Your task is to draft a concise board commentary for the month ending [Month, Year]. The audience is the Board of Directors. Key financial data: Revenue: [Actual Revenue] (vs. Budget: [Budget Revenue], vs. Prior Year: [Prior Year Revenue]) Gross Profit: [Actual Gross Profit] (vs. Budget: [Budget Gross Profit], vs. Prior Year: [Prior Year Gross Profit]) Operating Expenses: [Actual Operating Expenses] (vs. Budget: [Budget Operating Expenses], vs. Prior Year: [Prior Year Operating Expenses]) Net Profit: [Actual Net Profit] (vs. Budget: [Budget Net Profit], vs. Prior Year: [Prior Year Net Profit]) Cash Position: [Actual Cash Position] Key observations/context: - [Observation 1, e.g., Strong sales in Product X due to new marketing campaign.] - [Observation 2, e.g., Increased raw material costs impacting gross margins.] - [Observation 3, e.g., Higher-than-anticipated Q3 software license renewals.] Structure the commentary with an Executive Summary, Revenue & Profitability, Cost Management, and Cash Flow sections. Maintain a professional, analytical tone. Highlight key variances and provide concise explanations. Avoid jargon.
Always cross-reference the AI's numerical summaries and interpretations against the source data for accuracy and nuance.
Which tool for which part of the job
| AI Tool | Strength for Commentary | Best Use Case |
|---|---|---|
| ChatGPT | Broad understanding, good for drafting initial sections and summarising. | Generating first drafts of narrative sections quickly. |
| Claude | Excellent for long-form text, processing large documents, nuanced tone. | Refining entire commentary, ensuring consistent tone across sections, summarising extensive notes. |
| Gemini | Multimodal capabilities, good for integrating data from various formats. | Analysing data presented in charts/tables and integrating findings into commentary. |
| Microsoft Copilot | Seamless integration with Microsoft 365, internal data access. | Drafting commentary directly within Excel/Word, leveraging internal financial reports. |
| NotebookLM | Organising and synthesising information from multiple source documents. | Consolidating management notes, prior commentaries, and financial reports before drafting. |
| Perplexity | Research and fact-checking, citing sources. | Validating market trends or external factors mentioned in the commentary, providing quick context. |
Step by step
Follow these steps to effectively use AI in drafting your monthly board commentary:
- 1Gather all relevant month-end financial reports, budget comparisons, prior month's commentary, and any management observations or insights.
- 2Structure your prompt to clearly define the AI's role (e.g., "Senior Finance Analyst"), the task, the target audience (Board of Directors), and the desired tone.
- 3Input key financial figures, variances, and qualitative observations directly into the AI prompt, using clear labels.
- 4Specify the required sections for the commentary (e.g., Executive Summary, Revenue, Costs, Cash Flow) and any specific points to highlight.
- 5Generate the initial draft and carefully review it for factual accuracy, numerical correctness, and appropriate interpretation of variances.
- 6Refine the AI's output by providing targeted feedback, asking it to elaborate on certain areas, or requesting a different tone where needed.
- 7Integrate human strategic insights and any sensitive context that AI cannot infer, ensuring the final commentary aligns perfectly with business objectives.
What does AI get wrong in board commentaries?
While AI is a powerful tool for summarisation and narrative generation, it inherently lacks the strategic judgement and deep contextual understanding of a human finance professional. AI models cannot fully grasp the 'why' behind the numbers, such as market sentiment shifts, competitor actions, or internal operational challenges that aren't explicitly provided. This limitation means AI might miss subtle but critical nuances, leading to superficial or misinformed interpretations of financial performance.
Another common pitfall is the potential for AI to 'hallucinate' – generating plausible but incorrect facts or figures if the input data is ambiguous or if it attempts to infer beyond its capabilities. Furthermore, AI doesn't possess an inherent understanding of corporate politics, board member preferences, or the ethical implications of certain disclosures. Relying solely on AI without human oversight risks producing a commentary that is factually sound but strategically hollow, potentially misleading, or failing to address the board's true concerns.
AI excels at summarising raw financial data and identifying key variances for narrative development.
Structuring your prompt for optimal results
The effectiveness of AI in drafting board commentaries hinges significantly on the quality of your prompt. A well-structured prompt clearly defines the AI's persona, the task, the target audience, and the specific data points. Begin by assigning a role, such as "You are a Senior Finance Analyst," to set the context and expected output quality. Clearly state the objective: "Your task is to draft a concise board commentary for the month ending [Month, Year]." Crucially, identify the audience as the Board of Directors, which guides the AI towards a professional, high-level, and insightful tone.
Next, provide all relevant financial data with clear labels, including actuals, budget figures, prior year comparisons, and key variances. Incorporate qualitative observations or management insights as bullet points, giving the AI the necessary context beyond raw numbers. Always specify the desired structure (e.g., Executive Summary, Revenue & Profitability, Cost Management, Cash Flow) and any particular points to highlight or themes to emphasise. Conclude by explicitly stating the required tone, such as "Maintain a professional, analytical tone. Highlight key variances and provide concise explanations. Avoid jargon." The more specific and comprehensive your prompt, the more accurate and useful the AI-generated draft will be.
Integrating human insight with AI-generated drafts
AI should be viewed as a powerful co-pilot, not a replacement for human expertise in finance. Its primary role is to accelerate the initial drafting process by synthesising data and structuring narratives. However, the critical layer of strategic insight, nuance, and accuracy must always come from the human finance professional. After receiving an AI-generated draft, your role shifts from drafting to critical review and enhancement.
This involves meticulously verifying all figures against source data, ensuring interpretations align with the business reality, and refining the language for clarity and impact. Human insight is indispensable for adding context around market conditions, competitive pressures, future outlooks, and specific strategic initiatives that AI cannot infer. You will also tailor the commentary to the specific interests and concerns of individual board members, ensuring it addresses their priorities. The combination of AI's efficiency in generating a strong foundation and your strategic acumen results in a superior, board-ready commentary.
Frequently asked questions
Can AI fully replace a finance analyst in drafting board commentaries?▾
No, AI cannot fully replace a finance analyst. AI is a powerful tool for generating initial drafts and summarising data, but human strategic insight, critical thinking, and contextual understanding are indispensable for a truly effective board commentary.
How do I ensure the confidentiality of our financial data when using AI?▾
To ensure confidentiality, avoid inputting highly sensitive, non-public financial data into public AI models like ChatGPT. Instead, use enterprise-grade AI solutions with data privacy agreements, or anonymise/summarise data before inputting into public tools.
What if the AI generates incorrect numbers or interpretations?▾
AI models can sometimes "hallucinate" or misinterpret data. It is crucial to always meticulously cross-reference all AI-generated figures and interpretations against your original source financial reports and management notes.
Can AI help with different types of financial reporting beyond board commentaries?▾
Yes, AI can assist with various financial reporting tasks, including drafting sections of annual reports, summarising investor updates, generating variance analysis explanations, and even creating preliminary budget narratives. Its utility extends to any task requiring data synthesis and narrative generation.
Is it safe to use AI for highly sensitive discussions in a board commentary?▾
For highly sensitive discussions, AI should be used with extreme caution and primarily for structure or initial phrasing, not for generating the core sensitive content. Human finance professionals must always craft and verify such sections to ensure accuracy, compliance, and appropriate tone.
How long does it typically take to draft a commentary using AI compared to manually?▾
While manual drafting can take several hours, using AI can significantly reduce this to under an hour for a solid first draft. The time saved is primarily in summarisation, initial narrative generation, and structuring, allowing analysts to focus on strategic review and refinement.
AI Business Strategy
Unlock the transformative potential of AI in business strategy. This micro-course provides a foundational understanding of AI technologies and their strategic applications, empowering you to make informed decisions and drive innovation within your organization. Learn how to identify key areas where AI can create a competitive advantage, optimize processes, and unlock new revenue streams. Explore real-world case studies and gain practical insights into integrating AI into your business model. This course will equip you with the knowledge and tools to leverage AI for strategic success. Antigravity Value Proposition: Transform your business strategy with the power of AI. Gain a competitive edge, optimize operations, and unlock new opportunities for growth and innovation.
Start learningPut this into practice
15 minutes a day. Real AI skills for your job. Free to start.
Get started free