As an avid badminton player, I’ve always admired the sport for its combination of speed, precision and
strategy. While speed and accuracy are essential, they alone don’t guarantee victory. It’s the right
strategy or game plan that ultimately turns swift, accurate moves into winning shots.
A similar principle applies to financial close. Accelerating the financial close process is a top priority for
CFOs, and finance teams are under increasing pressure to close books faster – so much so
that “record-to-report” often feels like
“race-to-report.” Speedy execution, however, is meaningless if it’s not accompanied by greater
accuracy and enhanced insights. CFOs need timely, accurate data and clear, actionable insights to improve
control and make more confident, faster decisions.
Adopt a Winning Financial Close Strategy
Artificial Intelligence (AI) has remarkable potential to
accelerate financial close, improve accuracy and uncover valuable insights. I’ve seen it deliver
outstanding results. However, with all the hype around AI and Generative AI (Gen AI), it’s important to remember
that AI is a tool, not a talisman. As with all transformative technologies, the key to success lies not in the
innovation itself but in how we adopt and use it.
Therefore, a winning strategy for optimizing the financial close should begin with the fundamentals: Identify
your challenges and work backward to find solutions. AI may well be part of the solution, but we must avoid the
mindset of ‘AI is the answer; now what’s the question?’
Identify the Critical Path
In my experience, most financial close delays stem from process design flaws and operational inefficiencies.
It’s tempting to turn to technology to mend broken processes, but intelligent automation can’t fix fundamental
flaws; it can only enhance a process that’s been appropriately designed and configured.
Imagine you were designing your close process from scratch. Ask yourself which activity is critical to your
close, and then separate that work from non-essential tasks. What’s vital and what’s not varies from
organization to organization. However, when conducting a critical path analysis with new clients, we often find
that non-essential activities are bundled in with essential period-end tasks. This reduces focus and causes
delays. Identifying and prioritizing essential close-related activities enable finance and accounting teams to
close faster and on time, every time.
A rigorous critical path analysis often reveals essential but repetitive, manual tasks that are time-consuming
and prone to errors – such as generating standard reports, data entry and reconciliations. These are prime
candidates for automation.
Raise Your Game with Automation
Automation simplifies and streamlines the entire close process. An automated financial close solution can manage
all your critical close activities through a single user-friendly platform. Finance teams can schedule recurring
closing tasks, set alerts and track timely completion. This helps ensure deadlines aren’t missed and
Service-level Agreements (SLAs) are met.
Visibility is essential. Automated platforms provide unmatched transparency. All activities are comprehensively
tracked, empowering CFOs and their finance teams with insights into the status across the close cycle in all
locations and geographies.
Accelerate Data Entry with AI
When automation is augmented with AI, we see step changes in speed, rigor and insight. AI automatically reads,
extracts, matches and classifies all the data necessary to create Journal Entries (JE). It’s adept at
working with multiple file types, including hard-to-handle handwritten documents. AI processes all the relevant
information directly into your Enterprise Resource Planning (ERP) system, ensuring the accuracy and integrity of
financial data. This eliminates manual data entry and helps teams achieve faster, more accurate financial
closes.
Transform Reconciliation with AI and Gen AI
AI and Gen AI can revolutionize the reconciliation process. Payments, bank statements, and all Accounts
Payable (AP) and Accounts Receivable (AR) activities can be matched autonomously. AI, trained on your
specific business rules, can detect anomalies and flag potential issues. Gen AI takes this further by providing context and resolution recommendations,
allowing teams to focus on resolving problems before they escalate. Over time, the system learns from
these interventions, reducing the need for manual exception handling.
Hone Your Strategy with Analytics and AI
Advanced analytics significantly accelerates the financial period close by
quickly identifying trends and abnormalities while generating comprehensive reports. By leveraging predictive analytics and improving collaboration,
organizations can streamline their financial processes, reduce manual errors and ensure a faster, more
accurate close.
AI spots trends at scale and predicts which journals will likely arrive late so you can take proactive
measures to reduce this delay. You can also expect detailed insights into suspense and clearing
accounts, and thanks to a streamlined financial close, your teams will now have the time to focus on
resolving these.
Drive Informed Decisions for Sustainable Impact
A timely, accurate financial close, combined with reliable reporting, enables quicker identification of issues
and opportunities and facilitates more agile and informed strategic planning for CFOs. This efficiency also
reduces the risk of non-compliance with regulatory requirements, ensuring investors, creditors and other
stakeholders have confidence in the organization’s financial integrity.
AI-powered analytics uncovers granular insights from the vast expanse of your data, while Gen AI-driven
narratives bring those insights to life. This helps CFOs pivot faster, make more informed strategic decisions,
reduce risk and drive organizational performance.
Learn more about how our consultative approach and dedicated F&A technologies will accelerate your close and augment your operations.
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FAQs
1. What is financial close automation and why does it matter?
Financial close automation uses AI, machine learning and workflow tools to streamline manual tasks like
reconciliations, journal entries and
reporting. It matters because it reduces errors, speeds up the month-end close and provides
real-time visibility. This helps finance teams shift from manual firefighting to analysis and decision
support.
2. How does AI improve the month-end close process?
AI automatically reads, extracts and validates financial data, eliminating time-consuming manual entry.
It also identifies anomalies, predicts delays and highlights potential risks early. By offering
real-time insights across the close cycle, AI enables finance teams to work proactively and gives CFOs
accurate information for faster decisions.
3. Can automation fix existing issues in my financial close process?
Automation can streamline your process, but it can’t fix fundamental design flaws. If workflows,
approvals or dependencies are unclear, automation may only speed up the issues. The best results come
from first identifying bottlenecks, mapping your critical path and then applying automation where it
truly adds value.
4. What tasks are ideal candidates for automation in financial close?
Repetitive, rule-based tasks like reconciliations, data entry, journal entry creation, variance analysis
and standardized report generation are perfect candidates. These activities consume significant time and
are prone to human errors. Automating them frees up finance teams to focus on exceptions, insights and
strategic review activities.
5. How does financial close automation help with compliance and audit readiness?
Automation creates consistent workflows, clear audit trails and accurate time-stamped records, making it
easier to meet regulatory requirements. With centralized dashboards and reliable data, finance teams reduce compliance
risks and simplify audit preparation. Auditors can quickly trace entries, improving transparency
and reducing review time.
6. Will automation reduce the need for finance teams?
No. Automation doesn’t replace finance roles—it elevates them. Instead of spending days on
repetitive work, teams can focus on problem-solving, analysis and strategic initiatives. Automation
handles the manual tasks, while people contribute financial expertise, judgment and scenario planning
that technology alone can’t deliver.