AI in Finance for Accountants and CFOs - JRN Consultants.pdf
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10 slides
Oct 20, 2025
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About This Presentation
This presentaion explores the transformative impact of AI on accounting and finance operations.
It discusses how AI automates routine tasks like data entry, reconciliations, and reporting, allowing accountants and CFOs to focus on strategic insights, predictive planning, and decision-making.
Key...
This presentaion explores the transformative impact of AI on accounting and finance operations.
It discusses how AI automates routine tasks like data entry, reconciliations, and reporting, allowing accountants and CFOs to focus on strategic insights, predictive planning, and decision-making.
Key sections cover the evolution of the CFO role, efficiency through automation, AI-driven predictions for revenue and expenses, the synergy between humans and AI, ethical challenges like data security and bias, and practical steps for businesses to adopt AI in finance.
The piece emphasizes early adoption for competitive advantages and is authored by Rameez Shaikh, a partner at JRN Consultants (jrnconsultants.com) in the UAE, who specializes in Accounting & Bookkeeping Services.
Size: 76 MB
Language: en
Added: Oct 20, 2025
Slides: 10 pages
Slide Content
AI IN FINANCE:
WHAT'S ACTUALLY CHANGING FOR
ACCOUNTANTS AND CFOS IN 2025
INTRODUCTION
The accounting world is undergoing a serious shift with AI
handling grunt work like spreadsheets and reconciliations.
AI is integrated into modern finance operations, spotting cash
flow issues, financial red flags, and generating insights quickly.
For CFOs, this means less time on numbers and more on
strategy.
We'll explore AI's impact on workflows, the CFO role, and future
considerations.
1. FROM DATA ENTRY TO
DATA INTELLIGENCE Traditional accounting involved
manual tasks like transaction
coding, reconciliations, and
month-end closes.
AI tools now automate routine
work: categorizing transactions,
spotting anomalies, and matching
accounts faster with fewer errors.
Provides real-time views instead
of waiting for month-end.
Bigger shift: AI connects dots for
predictions like revenue trends,
seasonal spending, and cash flow
issues.
2. THE CFO ROLE IS
EVOLVING CFOs are now strategic advisors using data for business
decisions, with AI as a key tool.
Predictive Planning: Run scenarios for market expansion or cost
cuts.
Automated Reporting: Month-end reports in minutes via real-time
dashboards.
Smarter Forecasting: Incorporates market trends, economic data,
and history for accurate, adaptive forecasts.
Result: More time on business direction, improved margins and
efficiency.
3. AUTOMATION: THE
BACKBONE OF EFFICIENCY Tools connect to banks, software, and CRM for automatic
logging, categorization, and reconciliation.
Accountants shift from data entry to analysis and advice.
Handles invoice processing, expense tracking, and reports
accurately.
Teams focus on quality control, problem-solving, and
strategy.
Firms like JRN Consultants blend automation with
expertise for optimal setups.
4. AI-DRIVEN DECISION
MAKING Real-time dashboards replace outdated reports and
guesses.
Revenue Prediction: Identify top earners and shift focus
early.
Expense Optimization: Detect wasteful spending on
subscriptions or processes.
Scenario Modeling: Test pricing changes, competitors, or
restructures.
Benefits: Proactive adjustments, faster moves, smarter
calls.
5. YOUR FUTURE FINANCE
TEAM IS HUMANS WITH AI Automation doesn't replace judgment; combine AI with
human expertise.
AI crunches numbers; humans provide context, creativity,
and interpretation.
Teams evolve: Less crunching, more analysis, strategy,
and tech skills.
Key skills: Asking insightful questions about AI data -
what's missing, what it means, what to do.
6. CHALLENGES AND ETHICS
IN AI ACCOUNTING Risks: Data security, algorithmic bias, regulatory
compliance.
Avoid over-trust; always have human oversight.
Best systems: AI for heavy lifting, people for sense-
checking and rules.
Policies: Clear data handling, audit trails; choose ethical
partners.
7. PREPARING YOUR
BUSINESS FOR AI IN FINANCE Identify time-wasters: Manual tasks in current setup.
Start small: Automate one area like invoicing or payroll.
Train team: Understand tools and interpret AI outputs.
Measure success: Fewer errors, faster closes, accurate
forecasts.
Seek experts: Work with firms experienced in transitions.