Hello there,

During a workshop with controllers and auditors, we explored how generative AI could speed up internal reports.

One participant said: “This takes what used to be a day of work and gives me a solid draft in 20 minutes.” But they also admitted they wouldn’t trust it blindly.

And that’s the shift: AI collapses time, not judgment. You still need to review, revise, and apply your expertise.

AI Doesn’t Replace Expertise—It Compresses It

Lesson: Think of AI as your research analyst. Fast, tireless, but still junior. It needs your review to make it right (for now).

Here are 3 actionable steps you can take to achieve better results with AI

1)        Use AI to Draft, Not Deliver
Start each complex task, like writing a report, audit memo, or internal analysis by prompting AI for a first draft. Set a timer for 20 minutes. Then switch roles: become the reviewer and editor, not the creator.

2)        Create a Review Checklist for AI Outputs
Develop a short checklist of things to verify after AI generates content (e.g., factual accuracy, tone, context alignment, financial logic). Use this to build trust in the output and avoid over-reliance.

3)        Refine Your Prompts Based on What’s Missing
During your prompting session you be reviewing AI output, identify what it misunderstood or left out. Adjust your prompt and try again. This iterative approach helps you get closer to the desired results and sharpens your prompt engineering skills over time.

Cheers,
– Derwish Rosalia
Certified Accountant & AI Expert
15+ Years in Big 4, Corporate, and Government Roles

Here are the top 5 AI-related developments from the past week that finance professionals should know

AI News You Shouldn’t Miss This Week (May 13–20, 2025)

  1. Microsoft Unveils Copilot Tuning for Finance Teams
    At Microsoft Build 2025, Microsoft introduced Copilot Tuning, a low-code tool allowing organizations to customize AI agents using their own financial data and workflows. They also announced multi-agent orchestration, enabling AI agents to collaborate on complex tasks.
    💡 Why it matters: Finance teams can now tailor AI tools to specific processes like budgeting and compliance, enhancing efficiency and control.
    Read more

  2. UBS Deploys AI-Generated Analyst Avatars
    UBS has started using AI-generated avatars of its analysts to deliver video research content to clients, aiming to enhance efficiency and free up analysts' time for substantive work.
    💡 Why it matters: This move reflects a broader industry shift toward adopting generative AI to streamline operations, potentially transforming how financial analysis is presented and consumed.
    Read more

  3. EU Commits €1.6B to AI via Horizon Europe
    The European Commission has allocated €1.6 billion for AI development in 2025 as part of its €7.3 billion Horizon Europe work programme, aiming to bolster Europe's digital transition and global competitiveness.
    💡 Why it matters: This significant investment underscores the EU's commitment to advancing AI technologies, presenting opportunities for finance professionals to engage with cutting-edge AI initiatives and funding.
    Read more

These tools are designed to be practical, secure, and applicable to finance professionals seeking to integrate AI into their workflows. If you need further details or assistance with selection of tools and AI implementation, feel free to ask!

AI Tools (May 13–20, 2025)

1. Datarails FP&A Genius

  • Purpose: An AI-powered financial planning and analysis tool that integrates with Excel to automate data consolidation, reporting, and scenario modeling.

  • Relevance: Enables finance professionals to quickly respond to "what-if" scenarios and management inquiries without leaving their familiar Excel environment, enhancing decision-making efficiency.

2. Facctum Compliance Suite

  • Purpose: A real-time AI-driven compliance platform focusing on anti-money laundering (AML), sanctions screening, and customer due diligence.

  • Relevance: Assists compliance officers in financial institutions by automating the detection of financial crimes and ensuring adherence to regulatory requirements.

3. FloQast AutoRec

  • Purpose: An AI-enhanced reconciliation tool that automates the matching of transactions and identifies discrepancies in financial records.

  • Relevance: Streamlines the month-end close process for controllers and accountants, reducing manual effort and increasing accuracy in financial reporting.

4. Centraleyes AI Compliance Platform

  • Purpose: An AI-driven platform that automates risk assessments, compliance reporting, and regulatory adherence tracking.

  • Relevance: Empowers compliance officers to proactively manage organizational risks and maintain up-to-date compliance with evolving regulations.

5. V7 Go for Accounting

  • Purpose: An AI platform that automates data extraction and processing from financial documents, enhancing document management workflows.

  • Relevance: Assists auditors and accountants by reducing manual data entry, improving accuracy, and accelerating the processing of financial documents.