Drafting M&A and client-coverage pitchbooks and comps models

First, Anthropic didn’t ship another chatbot for bankers.

→ It shipped a full AI agent platform that sits above every data provider, every Microsoft Office app, and every internal system a financial institution runs, orchestrating end-to-end workflows that used to require teams of junior analysts and weeks of calendar time.

→ 10 production-grade AI agent templates covering everything from pitchbook assembly to month-end close to KYC screening.

→ Native Excel, PowerPoint, and Word integration.

→ Apache 2.0 on GitHub.

→ Citadel, Goldman, BNY, Carlyle, and AIG are already deployed.

And the real distribution play - an infrastructure partnership with FIS $FIS, which processes core banking for institutions handling roughly 12% of the global economy - means thousands of banks will get Claude’s agents without ever signing an Anthropic contract.

Combined with a $1.5B joint venture announced the day before with Blackstone, Goldman, and Hellman & Friedman, Anthropic now has three simultaneous paths into finance:

(1) direct enterprise, (2) infrastructure embedding, and (3) a PE-backed services arm reaching hundreds of mid-market firms.

The architecture, the partnerships, and the market reaction all point to the same conclusion: the value in financial services is migrating from the data layer and the workflow tool layer to the intelligence layer above both.

Anthropic intends to own that layer.

Deeper dive into what it means for data incumbents, fintech startups building in the space, and the firms racing to adopt, or trying to figure out whether they’re already too late is here:

Anthropic shipped ten ready-to-run agent templates for financial services. Not a preview- these are reference architectures you can install today. (Catching up on this one from last week, worth a second look)

The Ten: Research & coverage- Pitch builder. Meeting preparer. Earnings reviewer. Model builder. Market researcher. Finance & ops- Valuation reviewer. GL reconciler. Month-end closer. Statement auditor. KYC screener.

Each runs as a plugin alongside the analyst, or as a Managed Agent running autonomously with full audit logs.

Three things stood out:
1. Packaging is the product. Skills + connectors + subagents, pre-stitched. Days, not months.
2. Context travels across M365. Excel → PowerPoint → Word → Outlook, no re-explaining.
3. Data layer is the moat. New connectors- Dun & Bradstreet, Guidepoint, Third Bridge, Verisk, IBISWorld, plus a Moody's MCP app on 600M+ companies - on top of FactSet, S&P Capital IQ, PitchBook, Morningstar.

Opus 4.7 leads Vals AI's Finance Agent benchmark at 64.37%. Walleye Capital reports 100% Claude Code adoption across 400 employees.

If you run a finance or coverage function- pick one agent (Pitch builder or Month-end closer), point it at one real workflow this week.

Announcement: https://lnkd.in/gAtRiTRE

We're releasing ten new Cowork and Claude Code plugins, integrations with the Microsoft 365 suite, new connectors, and an MCP app for financial services and insurance organizations.

Anthropic shipped 10 ready-to-run finance agent templates on May 5, 2026. JPMorgan CEO Jamie Dimon stood next to Dario Amodei to announce them at an invite-only briefing in New York. By the closing bell, FactSet was down 8.1%, Morningstar was down more than 3%, and S&P Global and Moody’s both took sharp hits. The market priced the news as a structural threat to the data-and-analyst layer that has run Wall Street for 30 years.

I spent the next 36 hours testing every one of those 10 agents on 20 real tasks — two tasks per agent, no toy demos. The pitch builder produced a 24-slide M&A deck with a working comps model in Excel and an Outlook draft in 11 minutes. A $200/hour analyst was billing five hours for the same deliverable yesterday. That is the moment the FactSet trade made sense to me, and that is the story I am writing today.