AI Gears up Finance, Know How

AI Gears up Finance, Know How

CFO Tech Outlook | Tuesday, May 21, 2019

FREMONT, CA: The rise of artificial intelligence (AI) is inevitably going to have a disruptive effect on businesses across every sector. The finance sector is no exception as AI set to revolutionize every industry. AI makes business agile and economical to operate. Smart AI-driven financing applications include client communication, predictive analytics, trade processing, and intelligent investment solutions. Before introducing AI into a business, it is essential to evaluate existing processes to determine which method should be automated to free up time for employees to focus on higher-value tasks. It is vital to hold discussions with your workforce to identify repetitive processes. Here is how AI can help the financing sector.

Educate your workforce

It is vital to involve the workforce in the initial planning stages of AI implementation. It is often recognized AI can be seen as a threat by employees with regards to being replaced and losing their job. Top five ways a company can prepare for the surge in AI.

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Enhance your foundation

The rise in AI applications will produce a host of new requirements for data.  Complex data processing is required to assure that companies welcome AI with functioning arms. This shift can be expensive if outdated infrastructure must be updated to the standard required to facilitate AI operations.

Check This Out: Financial Services Review Magazine

Set out a clear AI strategy

Financial services organizations need a clear AI implementation strategy from the outset. This is to ensure that AI is being developed and organized into processes. There is a transparent deployment approach, which includes a rollout plan for key stakeholders, like customers.

Look at other firms’ strategies

It is essential to determine parallels in the AI-led systems with other companies and learn from their mistakes. To ensure that your company is keeping abreast of its competitors, financial services companies should learn beyond industries and not just from competitors.

AI is a versatile and powerful technology but is not without its teething problems. To fully embrace the benefits of AI, companies will need to meet new processing and interconnectivity demands. The challenge is forcing them to look to cloud and data center partners for the purpose-built infrastructure that can underpin their AI ambitions.

More in News

Finance leaders overseeing franchises, dioceses and multi-location small businesses face a structural reporting problem that traditional accounting systems were never built to solve. Intuit products such as QuickBooks remain dominant at the unit level, yet their architecture assumes a single entity with a consistent chart of accounts. In a one-to-many environment, that assumption collapses. Each location structures accounts differently, interprets expense categories in its own way and submits data on its own timetable. Consolidation becomes a recurring manual exercise, prone to delay and inconsistency. The result is a familiar pattern. Management teams rely on point-of-sale summaries or revenue snapshots because true financial consolidation across the balance sheet, P&L and cash flow requires disproportionate effort. Benchmarking is shallow. Ranking performance across entities is imprecise. Coaching conversations depend more on anecdote than on comparable data. Executives inherit fragmented information and must make capital allocation and expansion decisions without a standardized financial lens. A credible Intuit reporting solution for multi-entity environments must therefore solve three interlocking challenges. It must collect and consolidate disparate data from independent QuickBooks instances without forcing each entity onto a single native chart of accounts. It must standardize that data into a common framework so that benchmarking and ranking are analytically sound. It must present insights in a way that finance leaders, operators and local managers can actually use. Automation is decisive. Manual consolidation, even when supported by spreadsheets or periodic uploads, introduces human error and consumes scarce finance capacity. Near real-time ingestion and mapping of financial data into a standard chart of accounts enable management to move beyond static monthly reports. Only when data is normalized can advanced analysis surface patterns such as outlier cost structures, debt-to-equity imbalances or inconsistent spending categories across a network. Equally important is how intelligence is delivered. Multi-entity organizations include CFOs, CEOs, franchise business coaches and local managers, each requiring a distinct perspective. Role-based dashboards that translate consolidated data into tailored views create alignment without overwhelming users. A disciplined visual logic that highlights variances, flags underperformance and supports drill-down to underlying transactions reduces dependence on technical accounting fluency. When users can trace a variance from summary to general ledger in a few steps, insight shifts from retrospective explanation to active management. Customization also separates superficial reporting from sustained performance management. Predefined dashboards rarely reflect the nuances of a specific franchise model or nonprofit structure. A reporting environment that allows finance teams to build once and reuse structured packages across hundreds of entities, automatically refreshed as new data arrives, changes the economics of oversight. It enables consistent reporting across the ecosystem without expanding headcount. Within this context, Qvinci stands out as the leading Intuit reporting application for multi-entity organizations. According to its management, it built and patented a cloud-based process that automatically collects, consolidates and maps disparate QuickBooks data into a standardized chart of accounts in near real time. That foundation supports its layered intelligence model, including interactive reports, drill-down capabilities to transactional detail and role-based dashboards tailored to finance leaders and operators. Its extensive report library and customizable packages allow organizations to standardize performance oversight while preserving local autonomy. For executives responsible for financial governance across distributed entities, Qvinci represents the most complete path from fragmented ledgers to disciplined, comparable insight. ...Read more
The financial landscape is undergoing a profound transformation, driven by an accelerating wave of fintech innovations. For Chief Financial Officers (CFOs), this isn't just about understanding new technologies; it's about strategically embracing them to drive growth, manage risk, and redefine the finance function itself. The modern CFO is no longer just a financial gatekeeper but a strategic tech enabler and a visionary. Key Fintech Innovations Reshaping the CFO's Agenda Artificial Intelligence (AI) and Machine Learning (ML) are driving a profound transformation in the financial services landscape, positioning CFOs to lead with agility and precision. By enabling enhanced data-driven decision-making, AI can process and analyze vast volumes of structured and unstructured data to uncover patterns, predict trends, and deliver deeper insights, supporting more accurate forecasting, scenario planning, and strategic initiatives. Operational efficiency is significantly improved through automation of routine tasks such as invoice processing, expense tracking, and reconciliation, allowing finance teams to shift their focus toward higher-value analytical work. AI-powered "accounting copilots" further enhance productivity by identifying discrepancies and recommending corrective actions. Moreover, AI and ML play a pivotal role in proactive risk management and fraud detection by monitoring real-time transactions, flagging anomalies, and predicting market fluctuations or operational vulnerabilities. Through predictive analytics and forward-looking insights, CFOs are alerted to potential issues before they affect financial performance. Notably, while automation reshapes workflows, human expertise remains essential for validating outputs and ensuring the responsible deployment of AI. This necessitates a shift in workforce strategy, with CFOs investing in upskilling existing talent and integrating data science capabilities within finance teams. Blockchain and Distributed Ledger Technology (DLT) similarly offer transformative potential beyond cryptocurrency applications, delivering enhanced transparency, security, and efficiency across financial operations. By maintaining a decentralized, immutable ledger, blockchain ensures transaction traceability and significantly reduces the risk of fraud and corruption. It facilitates near real-time settlement and streamlines complex processes such as intercompany reconciliations, vendor interactions, and audits. Through smart contracts, blockchain can automate payments and requisitions, thereby reducing manual work and lowering operational costs. The technology also transforms auditing by enabling continuous, real-time verification of financial data, potentially reducing the need for third-party validators. Blockchain also opens new avenues for capital raising through mechanisms such as Initial Coin Offerings (ICOs) and asset tokenization, thereby broadening access to global investors. Its inherent auditability also simplifies compliance by ensuring transactions are automatically executed within regulatory frameworks. The shift to real-time data and analytics represents a significant evolution in financial leadership, enabling CFOs to respond with greater speed and precision to changing business conditions. By leveraging digital payment platforms, automation, and AI, organizations can access immediate and actionable insights into transaction flows, customer behavior, and supply chain performance. In this context, Qvinci supports enhanced financial visibility by consolidating and delivering real-time data insights that aid informed decision-making. This capability not only improves the accuracy of financial strategies but also supports efficient working capital management and faster identification of operational inefficiencies, allowing finance leaders to move from reactive responses to proactive, forward-looking risk management. Strategic Preparation for CFOs The finance industry is undergoing a significant transformation, with a focus on digitalization and data-driven culture. This involves assessing current technology capabilities, identifying opportunities and gaps, prioritizing investments, creating and communicating the roadmap, and continuously monitoring progress. The organization is also fostering a data-driven culture, ensuring a single source of truth, investing in data skills, prioritizing data quality, and promoting cross-functional collaboration. BHMI provides transaction processing and financial data solutions that enhance transparency and efficiency across financial operations. The industry is also embracing the evolution of risk and compliance, leveraging AI and ML for real-time anomaly detection, predictive risk analysis, and early warning systems. Regulation technology adoption is also being implemented to automate compliance processes. Emerging risks are being addressed through policies that focus on data privacy, the responsible use of AI, and cybersecurity. Fintech vendors must be trusted to meet strict data security and compliance standards. Financial talent development is also crucial, with continuous learning and training programs that equip finance professionals with the skills necessary to work with emerging technologies. Recruiting candidates with a blend of financial expertise, technological understanding, and strategic vision is also encouraged. External expertise can be leveraged to bridge in-house capability gaps and accelerate the adoption of new solutions. The next wave of fintech innovations presents both challenges and unparalleled opportunities for CFOs. By strategically embracing AI, blockchain, and real-time data analytics, and by fostering a culture of innovation, data literacy, and collaboration, CFOs can move beyond traditional financial oversight. They can transform into proactive strategic partners, driving business growth, ensuring resilience, and creating sustainable value in an increasingly digital and dynamic world. The CFO of tomorrow is not just a custodian of numbers, but a visionary who actively shapes the organization's financial future. ...Read more
Executives evaluating accounting and tax advisory partners face a landscape shaped by regulatory complexity, cross-border exposure and uneven access to reliable guidance. The challenge is not limited to compliance. It begins earlier, at the moment a business structure is formed, and extends through reporting, liability management and long-term financial positioning. Many firms still approach this lifecycle in fragments, treating incorporation, bookkeeping and taxation as separate tasks rather than as a connected sequence that determines outcomes. A recurring risk emerges when international founders enter the U.S. market without a full understanding of how local entity choices interact with obligations in their home countries. The formation of a limited liability company, often perceived as straightforward, can trigger unintended tax exposure or reporting duties abroad. Misinterpretation of obligations, especially when based on informal or incomplete sources, leads to errors that compound over time. Penalties tied to missed filings or incorrect assumptions can outweigh the initial scale of the business itself, turning what begins as expansion into a financial setback. Advisory quality, therefore, hinges on how early and how clearly a firm intervenes in the decision-making process. Firms that engage at the incorporation stage and guide clients through entity selection based on both U.S. and international implications create a stronger foundation than those that begin at tax filing. This approach requires a depth of understanding that goes beyond domestic compliance, extending into treaty considerations, ownership structures and the financial realities of operating across jurisdictions. It also requires the ability to translate complex rules into decisions that founders can act on with confidence. Clarity in communication plays an equally critical role. Clients rarely fail because of deliberate risk-taking; failure more often stems from gaps in understanding. Firms that prioritize direct conversations, probe for missing context and ensure that clients grasp both their rights and liabilities reduce the likelihood of costly mistakes. This is particularly important in environments where regulatory systems differ significantly, and where assumptions carried over from one country may not apply in another. Transparency is not limited to disclosure; it is reflected in how well clients understand the consequences of their choices. Scale introduces another layer of complexity. Many organizations seek cost efficiency without sacrificing advisory depth. Firms that structure their operations to separate advisory from execution can maintain this balance, allowing senior professionals to focus on guidance while process teams handle routine tasks. This model supports accessibility while preserving the quality of decision support, especially for growing businesses that require ongoing input while operating within constrained budgets. SF ACCOUNTING SERVICES aligns closely with these expectations through its emphasis on early-stage guidance and cross-border awareness. The firm focuses on advising international entrepreneurs entering the U.S. market, drawing on experience in U.S. taxation, international taxation and estate-planning to inform entity selection and compliance strategy. It distinguishes advisory from execution by positioning leadership as a source of continuous consultation while delegating processing work to specialized staff. This allows the firm to offer ongoing guidance without increasing client costs. Its approach to transparency, particularly in explaining obligations such as foreign ownership reporting and associated penalties, reflects a commitment to preventing avoidable risk rather than reacting to it after the fact. ...Read more
A company's operational effectiveness, risk management, financial stability, and strategic planning all depend on tracking its accounts receivable. Maintaining a sustainable, growth-oriented financial and operational climate is just as important as ensuring that sales are turned into cash. You should track these KPIs to gain a more complete view of A/R performance and better understand where and how your team can perform better. Average Days Delinquent (ADD) Average Days Delinquent (ADD) is a valuable indicator for anyone who wants to quickly and reliably see how their team is performing at a glance. It gives a good overview of the performance of your entire collection. This is largely due to the KPI's simplicity in calculation and the reliability and accessibility of its underlying data inputs. ADD focuses only on a receivable’s due date—typically well-documented in contracts and invoices—and its payment date, which is accurately recorded at the time of transaction. In this context, Qvinci supports financial data consolidation and reporting, helping organizations maintain dependable inputs for accurate KPI evaluation. This straightforward approach minimizes complexity while ensuring consistency and reducing the risk of data discrepancies. At its most basic level, ADD requires very little of you or your team and provides a practical, high-level view of collections performance. The computation behind it is straightforward; there is no need to perform a deep dive into the data, and there is very little room for bias or inaccuracy to seep in. CS Tomasi Wealth Management  delivers financial planning and data reliability services that support consistent KPI evaluation and performance tracking. Days Sales Outstanding (DSO) For good reason, DSO is the most often monitored KPI for accounts receivable. Finding the typical time it takes to collect payments will allow you to monitor cash flow for specific customers and the entire company. DSO begins to establish some fundamental next steps and goals for increasing collections by assisting in identifying issue payers and the customers responsible for causing your ratio to rise. At a basic level, it helps you identify potential customer-side problem sources. DSO fluctuations can even assist you in understanding how various market variables impact payment schedules, allowing you to appropriately modify your accounts receivable approach. Percentage of Current Accounts Receivable Receivables should be considered before they are due, which is the main issue with DSO. It concerns only problematic receivables. Consequently, it cannot support the proactive work of your collections team. That's where the current A/R % comes in. The relative distribution of current and past-due receivables can be better understood by looking at the percentage of current accounts receivable. Instead of focusing just on past-due payments, this enables teams to take a more proactive approach to high-value receivables. The percentage of Current Accounts Receivable is contributing to a significant change in A/R departments. It's encouraging a mental change and demonstrating to teams that they must concentrate on the trifecta of age, value, and risk rather than just the oldest receivables to provide the best results. Teams can collect more money quickly and spend less time on past-due payments that will never be received. ...Read more