Business

Estate Planning Essentials: Understanding the Ramifications of Not Creating a Will

Published

2 years ago

January 11, 2024

The realities of death aren’t something most people are accustomed to frequently discussing, but certain things like estate planning and creating a will are crucial for everyone to consider. Death is inevitable for all of us, and the ramifications of failing to plan ahead often prove significant.

“While we may not like to think about death, it’s crucial to plan for it,” says Attorney John Wood of Grant Park Legal Advisors. “Those who think they don’t need a will may want to consider the consequences of going without one.”

What is a will?

There is a common misconception that wills are only meant for those who are incredibly wealthy or possess a significant amount of assets that will have to be divided among their relatives. According to Wood, however, everyone can benefit from a will.

“A will is simply a legal document that outlines your wishes regarding the distribution of your assets after your death,” Wood explains. “If you pass away without one, your assets may not go to the people you intended. Instead, the laws of intestacy come into play to determine who your assets are left to.”

The laws of intestacy

The laws of intestacy vary from state to state, but in general, they will prioritize immediate family members, such as spouses and children. Problems arise when a person may have specific ideas or desires on who should receive their assets but fail to have the legal documentation to make their wishes known.

“Each person has unique situations, and wills account for these circumstances,” Wood says. “Perhaps they’re not particularly close to their children, or have no children, and wish for their assets to go to nieces and nephews, or they have no family at all and want what they leave behind to go to a favorite charity. Whatever the case, these circumstances should be outlined legally so a person’s last wishes can be fulfilled.”

Putting the future of minor children in jeopardy

No one likes to think about dying and leaving behind young children, but it happens. “If you have children who are still minors, creating a will is especially crucial,” Wood notes. “A will can specify who will be appointed guardian of your children should something happen to you.”

If a person of one’s choice is not appointed, the decision will ultimately go to a court, and their criteria for who will make an appropriate guardian could differ wildly from one’s own. “This can lead to a lengthy and costly legal battle that can further traumatize your children,” Wood explains.

Unnecessary taxes and fees

Additionally, when someone dies without a will, their estate may be subject to unnecessary taxes and fees. Their estate will go to probate, where courts will appoint an executor to distribute their assets.

“In Illinois and many other states, when there is no will, the court will require a bond to ensure the executor follows the law and distributes the assets correctly,” Wood explains. “This bond is an insurance policy essentially to insure the estate and heirs against malfeasance by the executor or administrator.”

One potentially substantial fee that can be avoided is the probate bond. In many instances when the will waives the bond, the estate will save more than the cost of drafting the will.

“This means some of your loved ones may be on the hook for these fees and taxes incurred,” Wood says. “The executor’s fees alone can be substantial and eat into any money any beneficiaries would possibly receive, and if your estate is subject to estate taxes, your beneficiaries may have to pay a significant amount of money to the government.”

Your business may be affected

If one owns a business, dying without a will can have especially dire consequences. “Your business could be forced to go through probate, which often leads to lengthy legal battles and financial losses,” Wood observes.

The unnecessary taxes and fees Wood previously discussed can also hit one’s business. As such, all business owners should also have a clear succession plan within their wills to ensure that either passing on or closing their business goes smoothly after their death.

You could leave loved ones without financial support

If someone is the sole breadwinner in their family, dying without a will could leave them completely without financial support. “While an estate is in probate, the deceased’s family may suffer immediate financial instability,” says Wood. “Creating an estate plan with a life insurance policy can ensure that your loved ones are financially supported even after your death.”

Death is a traumatic event for families and loved ones, but according to recent studies, roughly two-thirds of Americans either don’t have an up-to-date will or have no will at all. However, those same studies also show that higher inflation is causing more Americans to consider estate planning. Younger Americans are also 10% more likely to have a will or estate plan than in 2020, largely due to the influence of the COVID-19 pandemic.

Whatever the impetus may be, it seems that more people are realizing the importance of having a will and planning for what will happen once they pass away. As they continue to learn about the value of estate planning, attorneys like John Wood will be there to guide them through creating wills and making sound plans for the future.

Business

AI in Asset Management Explained: How Leading Firms Apply It

Published

2 days ago

April 16, 2026

Matthew Wiles

AI in asset management explained at its most basic level is this: using machine learning, data modeling, and automation to make faster and more accurate investment decisions. The applications vary widely across asset classes, fund strategies, and operational functions. Understanding where AI creates real value separates productive adoption from expensive experimentation.

Asset managers now face a data environment far larger than any human team can process manually. Market signals, company filings, macroeconomic indicators, alternative data sources, and portfolio monitoring all generate information continuously. AI tools process that information at scale. They surface patterns that traditional analysis would miss or find too late.

AI in Asset Management Explained Across Core Investment Functions

AI delivers the most measurable results when applied to specific investment functions rather than deployed as a general capability. The clearest applications sit in portfolio construction, risk management, and credit analysis.

Portfolio Construction and Factor Modeling With AI

Traditional portfolio construction relies on return and correlation assumptions built from historical data. AI-driven portfolio tools go further. They process real-time market data, alternative signals, and macroeconomic inputs simultaneously. This surfaces factor exposures that static models miss.

Machine learning models in portfolio construction can:

Identify non-linear relationships between asset classes that correlation matrices do not capture
Adjust factor weightings dynamically as market conditions shift rather than on a quarterly rebalancing schedule
Flag concentration risks before they appear in standard risk reports
Model tail scenarios using a broader range of historical stress periods than traditional value-at-risk models allow

James Zenni, founder and CEO of ZCG with over 30 years of capital markets experience, has built the platform’s investment approach around the principle that better data and faster analysis produce better outcomes. That view shapes how AI capabilities get deployed across ZCG’s private equity, credit, and direct lending strategies.

Credit Analysis and Private Markets AI Applications

Credit analysis in private markets has historically depended on periodic financial reporting and relationship-based deal intelligence. AI changes that model. Lenders using machine learning tools now monitor borrower health continuously rather than waiting for quarterly covenant tests.

Specific credit applications include:

Cash flow pattern analysis that identifies revenue deterioration weeks before it shows up in reported financials
Supplier and customer relationship mapping that flags single-source dependencies and concentration risks
Covenant monitoring automation that tracks hundreds of credit agreements simultaneously and alerts teams to early warning signs
Loan pricing models that incorporate current market spread data and comparable transaction history

These capabilities compress the time between identifying a problem and taking action. In credit, that time advantage directly affects loss rates and recovery outcomes.

AI in Asset Management Explained Through Risk and Compliance Applications

Risk management and regulatory compliance represent two of the highest-value AI applications in asset management. Both functions involve processing large volumes of structured and unstructured data under time pressure.

How AI Transforms Risk Monitoring in Asset Management

Traditional risk monitoring produces reports at set intervals. AI-powered risk systems run continuously. They flag anomalies in position data and monitor correlated exposures across a portfolio. Alerts fire when market conditions shift beyond defined thresholds.

The practical risk management applications include:

Real-time portfolio stress testing against live market inputs rather than end-of-day snapshots
Liquidity modeling that accounts for position size relative to market depth across multiple scenarios
Counterparty exposure monitoring that aggregates risk across instruments, custodians, and trading relationships
Regulatory reporting automation that reduces manual preparation time and lowers the risk of filing errors

ZCG applies these capabilities across its approximately $8 billion in AUM. The platform was founded 20 years ago. It built its investment infrastructure around systematic data analysis and operational discipline.

AI for Operational Efficiency in Asset Management Firms

Beyond investment decisions, AI delivers significant value in fund operations. Back-office functions like reconciliation, reporting, and compliance documentation consume substantial resources at most asset management firms.

AI tools applied to fund operations include document processing systems. These extract and verify data from offering documents, side letters, and subscription agreements automatically. Reconciliation tools flag breaks between custodian records and internal systems automatically. Investor reporting platforms generate customized materials from structured data inputs, reducing the manual production time significantly.

ZCG Consulting (“ZCGC”) advises operating companies across more than a dozen sectors on operational improvement programs, including technology-driven process redesign. Those operational efficiency principles translate directly to asset management back-office functions.

Applying AI to Asset Management: Limitations Firms Must Address

AI in asset management explained fully must include the limitations. Models trained on historical data perform poorly when market regimes change. Overfitting produces tools that work in backtests but fail in live environments. And AI outputs require experienced interpretation to avoid acting on statistically significant but economically meaningless signals.

The ZCG Team approaches AI adoption with the same discipline it applies to investment underwriting. Every tool requires a defined use case and a measurable success metric. A review process keeps experienced judgment in the decision chain. That framework prevents the common failure mode where AI adoption generates activity without improving outcomes.

Firms that treat AI as a capability layer on top of sound investment processes generate sustainable advantages. Those that treat AI as a replacement for process discipline find the technology amplifies existing weaknesses. It rarely corrects them.