As Claude expands into finance, outage raises risk questions

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Anthropic’s Claude experienced widespread disruptions to start this week, with thousands of users reporting problems accessing Claude.ai and Claude Code.

The company’s status page said the issue was tied to login and logout paths, while noting that the Claude API remained operational. Anthropic said it had identified the problem and was fixing the issue, though the company has not yet detailed the cause.

The outage is occurring during a period of heightened visibility for the company. Over the weekend, Claude rose to the top of Apple’s App Store rankings amid significant public attention. Some reports described the disruption as unfolding amid “unprecedented demand.” However, Anthropic has not detailed whether the service interruption was a result of a surge in new users, heightened visibility surrounding its stance on safeguards governing certain Department of Defense uses of its models or another factor contributed to the service interruption.

At the same time, Anthropic has been promoting Claude Opus 4.6 and expanding its financial services capabilities, embedding the model directly into Excel, PowerPoint and institutional market data workflows, a push that many in the industry view as capable of reshaping how corporate finance teams build models, analyze results and report performance. 

Claude through the CFO lens

Anthropic’s finance push is explicit, as its “Claude for Financial Services” expansion includes pre-built agent skills for discounted cash flow models, comparable company analyses, due diligence data packs, earnings transcript extraction and initiating coverage reports. 

Claude for Excel allows the model to read, modify and generate spreadsheets while preserving formulas and dependencies. It can, according to both developers and users, update assumptions and reflect those changes in PowerPoint decks while maintaining context across applications.

The company has also introduced connectors to live data providers, including S&P Capital IQ, London Stock Exchange Group and Moody’s, giving Claude access to large, institutional-grade information streams. Benchmarks cited by Anthropic emphasize performance on economically valuable finance tasks, reinforcing the narrative that the model can assist with analytical work typically performed by lower-level analysts in FP&A, corporate development, private equity and investment banking.

Alyona Mysko, founder and CEO of Fuelfinance, a cloud-based finance platform she launched after serving as a CFO and earlier working at PwC, recently tested Claude for Excel and described the tool on LinkedIn as “a big step toward AI becoming infrastructure — not another app, but something embedded into daily workflows.”

Mysko said the model excelled at data cleanup and structuring messy datasets. “This alone can save hours every week,” she wrote. For basic modeling, she found it capable of building a reasonable structure with correct formulas.

Advanced modeling revealed deeper complexity. When she asked Claude to build a three-statement model with a five-year forecast, the initial output appeared solid. A closer review exposed missing assumptions, hard-coded values and logical inconsistencies. “In finance, 99% correct is still wrong,” Mysko wrote.

Albert Ramos Jr., a fractional CFO for fitness and wellness brands, also publicly shared his take by commenting on a recent CFO.com story that was shared on LinkedIn about AI-related workforce reductions at Block: “This will continue to happen,” he wrote. “Learn Claude.”

The Secret CFO, a pseudonymous finance executive known for candid commentary on LinkedIn, described the Excel integration in enthusiastic terms to his followers. “The Claude plug-in for Excel is genuinely incredible,” he wrote. “You should download it and use it. You don’t need anyone to tell you how. I just built a simple unit economic model feeding an investment case (for an angel investment I’m making) by burping a semi-coherent stream of consciousness thoughts into the prompt box.”

AI as a workflow layer in finance

Claude is marketing itself as the newest connective tissue across finance systems. Its product development includes expanded context windows, long-running task capabilities and multi-agent features that are designed for CFO-centric, document-heavy workflows like due diligence reviews and complex financial modeling. 

Context persistence between Excel and PowerPoint also allows the model to update analysis and presentation materials in tandem, something that up until now took teams of people to facilitate. Live data connectors feed real-time information directly into Claude’s reasoning process.

Many accounting and close software vendors have promoted Claude-powered automation within their products. Campfire has integrated Claude into its Ember AI conversational interface, while noting to CFO.com that its core accounting intelligence runs on a proprietary model. FloQast has highlighted Claude-based capabilities in accounting transformation environments. Sage has also integrated Claude into elements of its finance and ERP ecosystem, embedding generative AI into reporting and workflow tools targeted at midmarket finance teams. 

The appeal and marketing to finance is straightforward: Reduce manual reporting work, accelerate reconciliations and create more space for strategic priorities. But, as AI becomes part of reporting execution logic, managing these risks are becoming table stakes for CFOs. Even if the underlying ledger remains accessible, AI-powered features that accelerate reporting or automate reconciliations may pause when the upstream reasoning model is unavailable.

Guardrails and government

The policy dispute with the U.S. government that elevated visibility around Claude and Anthropic underscores governance questions that extend into corporate finance. It centers, according to CEO Dario Amodei, on two specific red lines that create real geopolitical risk considerations for CFOs using Claude-powered tools.

In a recent interview on CBS News Sunday Morning, Amodei said Anthropic has deployed its models “across the intelligence community and the military” but has drawn boundaries around two use cases: “One is domestic mass surveillance,” he said. “Case number two is fully autonomous weapons.”

Amodei defined the latter as “making weapons that fire without any human involvement” and said the company believes AI systems are “nowhere near reliable enough” for that application. On surveillance, he warned that AI could make large-scale analysis of bulk personal data newly feasible even where laws have not fully caught up.

“We need to have a conversation,” Amodei said, adding that those two categories represent a small fraction of potential government uses but are fundamental concerns.

There is no evidence publicly linking the Pentagon dispute to Monday’s disruption. The timing, however, underscores how widely Claude now operates across commercial finance workflows and sensitive government environments — all of which open up risk and liability considerations that risk-cognizant CFOs must be aware of.