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How to Evaluate Accounts Receivables

3 min read

Reconcile Accounts Receivable, Evaluate Accounts ReceivableAccording to the Federal Reserve Bank of St. Louis, collection agencies saw $16.28 billion in revenue in 2019. While revenues have declined somewhat in recent years, unpaid invoices are still big business. Accounts receivable aging reports can help companies identify and mitigate unpaid invoices and potentially lower a business’ need to send unpaid invoices to collection agencies.

An accounts receivable aging report analyzes how well a company manages its accounts receivables (AR) and identifies the level of any abnormalities. It looks at receivables based on their age; specifically, the time the invoice has been unpaid and outstanding. Then, once receivables have been analyzed for non-payment based on different time frames, the business can determine whether to follow up with the customer, send it to collections, or write the invoice off.

Whether it’s created manually through a spreadsheet or done in conjunction with accounting or billing software, either way the AR aging report takes data from the company’s accounts receivable ledger. The following is a general overview of how to create this report:

Step 1: Aggregate invoices and determine if any credit memos or outstanding adjustments on outstanding invoices need to be addressed first.

Step 2: Create time frames for the invoices, be it buckets such as: 1. 0-30 days. 2. 31-60 days. 3. 60+ days. These can be referred to as “aging buckets” to categorize the invoices.

Step 3: Ensure fields for customer information, invoice details, invoice amounts, notes, etc., are ready for the information to flow into.

Step 4: Calculate unpaid invoice balances and group them by customer and time frame.

While this is only an example and can be modified based upon the company’s needs, it’s a starting point for further analysis. From there, along with updating the report on a monthly, quarterly or annual basis, the company can identify how to improve its cash position by determining its weak points.

One important consideration, especially for businesses with high levels of old, uncollected receivables, is that the company’s collection practices can be re-evaluated more effectively. The analysis can show that some customers take too long, and the company needs to be more proactive in following up with them sooner. It can also convey the need to incentivize their collections with early payment discounts.

This data also enables a company to identify customers who have outstanding payments and assess the associated risk to the company’s credit rating. Especially for publicly traded companies, and even for private equity investment evaluations, investors can see how competitive or not their credit rating is compared to similar companies in the same industry. When analyzing customers, it may be necessary to tighten terms or simply stop doing business with the customer.

Companies can offer pre- or early payment terms, with discounts available to customers who pay their invoices upon receipt or within a certain time frame. During challenging conditions for a particular sector or for the economy overall, businesses can set up payment plans to maintain positive relations with certain customers.

While there’s no perfect accounts receivable aging report, an effective one will organize, identify, and reduce the likelihood of increasing numbers of unpaid invoices.

Sources

https://fred.stlouisfed.org/series/REVEF56144ALLEST

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5 Myths About Life Insurance

3 min read

Myths About Life InsuranceLife insurance is something most of us don’t want to talk about. But the truth is, no one gets out of life alive. So, it might make sense to face it now so that when you really need it, it’s there. Before you start looking for a life insurance policy, let’s dispel some of the untruths you might have heard.

Myth #1: It’s too expensive. According to a recent survey by Life Insurance Marketing and Research Association (LIMRA), 52 percent of people thought it was too expensive to have or get more of. And how did they come to this conclusion? They based this on their “gut instinct,” or a “wild guess.” Truth is, it’s more affordable than you think and varies from person to person. In fact, the estimated yearly cost of a $500,000, 30-year term insurance policy for a healthy 30-year-old, non-smoking female is $316.

Myth #2: It’s a pain to apply. Not true. Thanks to the pandemic, which caused us to eliminate or reduce human interactions (like getting a doctor’s exam for term policies), you can apply online. These days, all you have to do is answer a few questions on your phone. Easy peasy.

Myth #3: My company’s policy is enough. Maybe. The coverage you have might not be enough for your family. Here are some facts. The median workplace life insurance coverage is either just a flat sum of $20,000 or one year’s salary.Of U.S. households that rely on workplace life insurance coverage, 44 percent say their families would struggle financially in less than six months should a wage earner die unexpectedly. So, what to do? A simple guideline is this: Aim for 10 to 12 times your annual salary and bonus, but people who are younger (farther away from retirement) might need more. Folks closer to retirement might need less.

Myth #4: I only need coverage if I’m working. If you’re not employed outside the home – like if you’re a stay-at-home mom – it’s still important to consider life insurance. Typically, life insurance is considered a replacement for lost income. If something happens to the non-breadwinner, it could also be necessary to pay for childcare and household work in your absence. The most important thing is to plan your coverage together with your family in mind so that you’re both in the best position possible should one of you pass away.

Myth #5: I don’t need life insurance until I’m older or become a parent. Nope. In fact, not only do you not have to be a parent, but your beneficiary could also be your partner or anyone else who relies on you. And you can change your beneficiaries (you can have more than one), should things change. Plus, if you apply for life insurance earlier in life, you’ll save money on premiums. Why? Because one thing that factors into how much you pay – or qualify for coverage at all – is your health. As you get older, your risk for developing health issues increases. According to LIMRA, 40 percent of those who have policies wish they’d bought them when they were younger.

In the end, you’ll want to take care of those who depend on you – and those you love. That’s why knowing the truth about life insurance matters.

Sources

Myths about life insurance | Fidelity

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Beyond the Hype: A Strategic Blueprint for AI Investment in 2025 and Beyond

4 min read

AI Investment in 2025Artificial intelligence (AI) is one of the most talked-about technologies today. It has taken a shift from the broad general-purpose tools to specialized innovations that promise real impact. AI is dominating headlines with investor pitches. There has also been a surge in startups promising AI-powered solutions. However, some businesses have already adopted and invested millions into AI projects with little return. As AI advances, business owners and investors need to stop chasing the latest headlines and consider how to best integrate AI to create lasting value.

Understanding the AI Investment Landscape in 2025

Since the AI breakout, it has advanced dramatically. There are three forces that are reshaping the investment and adoption of AI.

  1. Maturation of Foundation Models
    The large language models (LLMs) are now cheaper and faster. They are also customizable. This means that businesses no longer need to build from scratch and can just adapt existing models in their industry.
  2. Regulations and Accountability
    Governments are tightening frameworks around data privacy, transparency, and responsible AI. Compliance has become a key competitive differentiator.
  3. Sector-Specific Applications
    Advancements in AI have given way to specialized use cases. For example, fintech AI can track fraud, while manufacturing AI optimizes the supply chain.

The AI Hype Cycle

According to Gartner’s 2025 “Hype Cycle for Artificial Intelligence.” AI technologies move through predictable stages. These include the innovation trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, and plateau of productivity. Between 2023 and 2024, generative AI dominated the headlines. It has now entered the trough of disillusionment as organizations confront their limitations, governance risks, and the difficulty of proving ROI. However, this is not to be seen as a setback, but rather a turning point as businesses shift focus from experimentation to scaling reasonably. Investment is now focused on foundational enablers such as ready data, ModelOps for lifecycle management, and AI agents. By 2025, businesses will be realizing that quick wins are harder than expected. On the bright side, businesses have an opportunity to build sustainable systems that offer measurable business value.

Lessons Learned from the First Wave of AI Adoption

The promises that came with AI led some businesses to invest heavily. This resulted in several mistakes:

  • Chasing innovation over value
    Many businesses rushed to invest in AI-powered projects like chatbots without linking them to actual business goals. For instance, customers have raised concerns about frustration with bank AI bots that confuse rather than help customers, according to the Consumer Financial Protection Bureau (CFPB).
  • Falling for AI hype
    Some businesses invested in companies branding themselves as AI-driven, even when the solutions offered relied on basic automation.
  • Ignoring integration
    Failing to consider that AI is not a plug-and-play solution. This saw some early adopters underestimating the cultural, technical, and operational changes required to integrate AI into workflows.

A Strategic Blueprint for AI Investment

For businesses to invest wisely:

  1. Start with the problem, not the tool
    Instead of shopping for tools to adopt, a business should first ponder what problem it wants to solve. This means clearly defining the problem to solve, such as personalizing marketing campaigns or predicting supply shortages. Clarifying a problem ensures the AI investment is focused and not an experiment.
  2. Build a portfolio approach
    Borrowing from how investors diversify portfolios, a business should also diversify its AI initiatives. They can do this by balancing short-term projects, such as automating repetitive tasks, with long-term projects like predictive analytics. This is to ensure there is a steady return on investment.
  3. Prioritize responsible and compliant AI
    Reputation is crucial, and businesses should avoid mishandling customer data. To do this, companies must invest in compliance, transparency, and explainability as part of their AI strategy.
  4. Invest in people, not just technology
    AI does not replace talent. Companies should invest in training and upskilling their workforce. This prepares employees to work well with the new technology to ensure adoption is smooth and effective.
  5. Build scalable infrastructure
    Even with the most advanced AI model, failing to have the right foundation will result in unsuccessful implementation. The lesson? Companies must invest in flexible systems that can grow with them.

Conclusion

AI is no longer a futuristic concept. It is a business reality. Adopting AI alone is not enough, and businesses need to do it wisely. Businesses should refrain from jumping on the latest trends. Instead, make strategic choices that align with long-term goals. The focus should be on the problems to be solved and not the tools.