Finance
AI Financial Modeling Tests Show Need for Advisor Oversight
Most coverage of artificial intelligence in finance focuses on what these tools can do. Less attention is paid to how they perform under scrutiny, particularly in financial modeling, where small errors can carry real consequences.
After testing Anthropic’s Claude in real-world modeling scenarios, one conclusion stands out: Claude produces outputs that look credible at first glance but contain structural flaws that only an experienced professional would catch.
That gap between appearance and reliability is where risk begins.
Where AI Performs Well
Claude handled several foundational elements of financial modeling competently. It was able to:
-
Build basic revenue models
-
Generate standard financial statements
-
Apply consistent formatting, labels and units
The outputs appeared polished and professional. In some cases, they resembled models produced by junior analysts. That is what makes them risky.
The models looked right. The structure appeared logical. Formatting signaled credibility. For a time-constrained professional, those cues can create trust before a full audit is completed.
The Errors That Hide in Plain Sight
A closer review revealed issues that would likely go unnoticed without technical expertise:
-
Broken linkages between financial statements
-
Hardcoded values instead of centralized assumptions
-
Non-dynamic formulas and inconsistent logic across periods
-
Balance sheets that did not balance
-
Timing mismatches between beginning- and end-of-period values
-
Circular reference issues in areas like revolving credit
These are not edge cases. They point to a broader issue. The model may function, but it is not built on a reliable or auditable foundation.
Where Best Practices Break Down
Beyond individual errors, the models often failed to follow core financial modeling principles:
-
Assumptions were not clearly separated from calculations
-
Error checks were largely absent
-
KPIs lacked depth and industry-specific nuance
-
Formula design was inconsistent or inefficient
These gaps affect more than presentation. They determine whether a model can be trusted, adapted and audited under pressure.
The Real Risk Is Overconfidence
The key distinction is not between AI and human-built models. It is between models that are understood and those that are not. When a professional builds a model, every assumption and linkage is intentional. Even limitations are typically known. With AI-generated models, that understanding is outsourced.
This creates a different kind of risk:
-
The logic behind the model may not be fully clear
-
The structure may not align with internal standards
-
The review process may be less rigorous because the output appears complete
In practice, credibility is inferred from how the model looks, not how it was built.
Reviewing Is Not the Same as Building
There is also a practical workflow issue. Reviewing an AI-generated model is not equivalent to building one.
When reviewing:
-
You are interpreting logic you did not design
-
Errors can be harder to trace
-
Inconsistent structure increases audit time
In some cases, it is faster to build a clean model from scratch than to fix a flawed AI-generated one.
What This Means in Practice
Financial models support decisions involving significant capital. Even small issues can cascade:
-
Misstated cash flows can distort debt capacity
-
Timing errors can affect liquidity assumptions
-
Weak KPIs can lead to incomplete analysis
There is also a question of accountability. Regardless of how a model is created, responsibility for its output remains with the professional using it.
Where AI Fits Today
AI tools can still be useful in financial modeling. They can help:
-
Speed up repetitive components
-
Generate starting points for analysis
But they are not a substitute for professional judgment. Nor are they ready to operate without close oversight. For now, their role is best defined as assistive, not authoritative.
A More Practical View of AI in Finance
The conversation around AI in finance does not need more optimism or skepticism. It needs more precision. AI can produce outputs that are visually convincing and directionally correct. In financial modeling, that is not enough.
The real risk is not that AI makes mistakes. It is those mistakes that are easy to miss, especially when the output looks finished. For financial professionals, the takeaway is simple: treat AI-generated models as drafts, not decision-ready tools.
Finance
UK financial regulator publishes landmark AI review
The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.
The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”
The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.
Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.
The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted. Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.
The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.
Finance
Fayette County Public Schools Board of Education approves audit contract, new finance director position
LEXINGTON, Ky. (WKYT) – The Fayette County Public Schools Board of Education approved a one-year audit contract capped at $131,750 plus $225 per hour during a virtual meeting Monday, along with a new finance director job description.
The contract is with Mauldin & Jenkins Certified Public Accountants, an Atlanta-based firm, and covers the 2025-26 fiscal year and the restatement of the 2024-25 fiscal year and ancillary services through FY 2029-2030. The work is set to be completed by Nov. 15.
The board approved the contract in a 5-0 vote.
Audit contract details
Interim Chief Financial Officer Kyna Koch said the cost is already accounted for in the district’s budget.
“And is actually less than we expected given our current situation — we were thrilled with the bid,” Koch said.
Koch said she believes this is Mauldin & Jenkins’ first school district audit in Kentucky, but that the firm works with school districts of more than 100,000 students throughout the Southeast.
“Quite frankly when I spoke to the folks at KDE they were thrilled because we’re running kind of short of auditors who want to do school district audits — so all around I think this was a win-win for everyone,” Koch said.
New finance director position
The board also approved a new job description for the position of Director of Finance. Acting Superintendent Dr. Bill Bradford said the title will replace two associate director positions.
“Which will not only save the school district money but it’s also going to streamline our work and align internal controls to make room for a more efficient unit,” Bradford said.
Koch said the position will be posted as soon as possible following the board’s approval.
Closed session
The board went into closed session for more than an hour to discuss pending investigations that could lead to employee discipline. When the board returned, it took no action and adjourned the meeting.
Copyright 2026 WKYT. All rights reserved.
Finance
UK Watchdog Urged to Consider Broader Oversight of AI Financial Firms | PYMNTS.com
The UK’s financial regulator should consider expanding its oversight to cover advanced artificial intelligence models used in financial services, according to a review commissioned by the Financial Conduct Authority (FCA), as policymakers assess whether existing rules can keep pace with rapidly evolving AI technology.
-
Kentucky5 minutes agoFormer Kentucky guard Quade Green joins La Familia
-
Louisiana8 minutes agoLooking for a luxurious place to stay? These are Louisiana’s 6 best resorts
-
Maine13 minutes agoLeslie Marshall urges Democrat Graham Plattner to exit Maine Senate race amid allegations | Fox News Video
-
Michigan23 minutes agoMichigan religious leaders speak against what they say are voter intimidation efforts
-
Massachusetts28 minutes agoICE detentions rise in Massachusetts amid World Cup festivities
-
Minnesota35 minutes agoMan accused of attacking woman in Midwest Bank parking lot at gunpoint
-
Mississippi38 minutes agoJabil to invest $119 million in Marshall County, create 2,200 jobs
-
Missouri50 minutes agoExplosion reported after Missouri school employee hits firework with lawn mower