I recently got early access to Claude for Financial Services 2.0 and felt like I had a glimpse of the future of financial workflows.
I ran a revenue quality review in about 30 minutes. Same file, same logic, no normal scrambling. One window remained open while the rest of the noise died down, and the work progressed in a straight line rather than the usual zigzag of tabs and footnotes.
Claude reviewed the 10-K, reviewed the debt schedule, uncovered the revenue recognition changes, and organized the findings in a way that I could take directly to the deal team. The first pass read like the second.
This wasn't some parlor trick or some fancy autocomplete. It was a system that did the actual analytical work.
Meet Claude on Financial Services 2.0
Claude for Financial Services 2.0 is Anthropic's financial adjustment model built to work within the tools analysts already use. Connect to Egnyte, Chronograph, LSEG, Moody's, S&P Global, Snowflake, and Databricks through the Model Context Protocol. Read documents, spreadsheets, and financial statements as a unified source of information.
Navigate data rooms and footnotes, adjust numbers throughout files, and generate structured output with citations, just like an experienced analyst would. Agent skills reflect common workflows such as DCF, Comps, Diligence Summary, and Revenue Analysis. Excel add-ins allow your models to work within the tools where most of the financial work is actually done. And this skill set goes beyond modeling and diligence, with the ability to launch coverage reports, one-page company profiles, structured diligence data packs, and financial report summaries generated directly from raw documents and data room files.
The result is an analytical system that can handle data access, commenting, reconciliation, and documentation at the pace that modern finance demands.
integration layer
Previous versions of Claude for Financial Services were outside of workflows. I pushed the data and retrieved the results. This work moves to the middle of the work.
The connector leverages the same system that analysts already use, allowing your model to be at the center. real snowflake. Egnite for hard work. Comp S&P. No file shuffling.
The inference engine is tested against financial benchmarks, and the agent skills work closely with your organization's workflow. The output includes citations and traceability, making it easy to review. The Excel add-in ties everything into the environment that analysts are already working in, putting the system in a place that feels consistent rather than bolted down.
Excel is where finance lives
Finances are done in spreadsheets. Claude also works there.
Read formulas and dependencies within Excel. Describes calculations using cell-level references. Fix errors without breaking logic. Test the scenario and highlight the affected cells. Build schedules and models from prompts.
Each session starts cleanly. Chat history is not retained between sessions. Anthropic's financial services deployment does not use customer data to train models. For teams working under SOX, ICFR, or PCAOB oversight, this is baseline governance.
Claude acts like a senior analyst who can ask questions, a junior analyst who quickly drafts, and a documentation system to show his work.
What early adopters report
Early adoption is notable because the institutions that use Claude first are the ones least likely to follow trends.
According to an Anthropic release on financial services expansion, NBIM reported productivity increases of approximately 20%. AIG reduced underwriting cycles by more than five times and achieved accuracy rates of over 90 percent. RBC Capital Markets has streamlined a workflow that once required days of manual data collection. Chronograph believes its integration opens new ground for private market teams.
Each example shows the same pattern. This means that the initial gains come from eliminating friction rather than changing the underlying work.
current limit
The model moves quickly, but not all hurdles can be cleared.
Very large spreadsheets can slow things down. Pivot tables, data tables, conditional formatting, macros, and VBA are still outside its scope. Reconciliations across companies and years still require an analyst to understand the story behind the numbers.
Shared spreadsheets also come with security risks, including prompt injection.
Claude delivers a strong first draft. The loop ends at your discretion.
How should CFOs pilot this?
Start with workflows where traceability is essential. Quality of earnings. Monthly deadline. Explanation of differences. board material.
We will use Claude as both a senior and junior analyst. Let me explain the logic. Have them draft a schedule and outline. Check the consistency and accuracy of your work.
Build governance as you deploy. File access control. Spreadsheet security settings. Reviewer approval. Clear usage policy.
Just as a quality 30-minute revenue review hinted at what was possible when work started moving so quickly, early adopter finance teams set a pattern for other teams to follow. Infrastructure will settle around who makes the first move.
