Finance
Meet Copilot for Finance, Microsoft’s latest AI chatbot – here’s how to preview it
As part of its ongoing campaign to integrate generative artificial intelligence into everything, Microsoft on Thursday announced the public preview of Copilot for Finance, a tool meant to help those in the finance office perform tasks such as analyzing variance in sales, speeding up collections, and tracking down missing invoices.
“Sixty-two percent of finance professionals say they are stuck in the drudgery of data entry and review cycles,” noted Charles Lamanna, Microsoft chief vice president of business applications and platforms, in a blog post announcing the software. “Copilot for Finance can help free up time for finance to play more of a strategic role in delivering counsel and insights to the business by streamlining financial tasks, automating workflows, and providing insights in the flow of work.”
Also: Microsoft launches two new Copilots, adding AI-guidance for Service and Sales
Copilot for Finance, noted the company, handles things such as variance analysis in sales. The program pops up a natural-language summary of where actual sales may fall short of projected sales, with an indication of the reason for the variance.
The program will “quickly conduct a variance analysis in Excel using natural language prompts to review data sets for anomalies, risks, and unmatched values,” according to the blog post. “This type of analysis helps finance provide strategic insights to business leaders about where it is meeting, exceeding, or falling short of planned financial outcomes and why.”
Using suggested prompts — such as “help me understand forecast to actuals variance data” — the program can be made to pull data directly from across ERP and financial system records and analyze the sources.
In a companion blog entry, Microsoft head of business applications marketing Emily He describes the program’s capabilities: “[Copilot for Finance can] streamline audits by pulling and reconciling data with a simple prompt, revolutionize collections by automating communication and payment plans, and accelerate financial reporting by detecting variances with ease.”
For example, a company’s accounts receivable specialist doesn’t need to first pull data from an ERP system and then put it into Excel, writes He, they can simply ask at the prompt and the Copilot pulls that data. That can speed up an audit of accounts receivable to find missing amounts.
The “potential time and cost savings are substantial” from such operations, writes He.
Also: Microsoft’s GitHub Copilot pursues the absolute ‘time to value’ of AI in programming
The Finance program is the latest installment in Microsoft’s proliferation of generative AI in the past year, including its Microsoft 365 Copilot for the productivity suite and Dynamics 365 Copilot for enterprise resource planning functions. The Finance Copilot is embedded in Microsoft 365 so that it can work with the productivity apps in the suite.
Microsoft is offering a Copilot for Finance demo here, and you can sign up for the public preview here.
In November, Microsoft unveiled two more Copilots, Copilot for Service and Copilot for Sales.
Microsoft has not disclosed the pricing of Copilot for Finance. “We will share the pricing for Copilot for Finance at GA later this year,” Microsoft told ZDNET in an email.
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.
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