Early Impactful Agents May Not Be Splashy

May 6, 2026 | AI

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What You Should Know 

Early Impactful Agents May Not Be Splashy

For all the talk about AI agents that can do everything, the first ones to matter may look more like specialists than generalists.

Anthropic rolled out 10 new AI agents for financial services firms this week, aimed at tasks like building pitchbooks, reviewing earnings reports, drafting credit memos, screening KYC files, closing the books at month-end, and supporting audit or valuation reviews.

That may seem less exciting than the do-everything “super agents” that were hyped at CES a few months ago, but it addresses a real need: narrow, repetitive, expensive work where the inputs are known and the outputs can be verified by humans.

Finance is a prime candidate because the work is structured, document-heavy, and high-stakes. A pitchbook has a recognizable format. A credit memo follows a specific logic. An earnings review pulls from familiar source material. Month-end close has defined steps. Those jobs still require human judgment, review, and accountability, but they are easier to define than something vague like “help our team be more productive.”

Communicators trying to replicate that blueprint should also narrow their focus. The key is identifying tasks that are repetitive enough to define, time-consuming enough to automate, and structured enough for AI to support without pretending it can replace your judgment.

Maybe that means turning a press release into first-draft social posts, client emails, pitch angles, and internal talking points. It could mean building a first-pass media list from a defined set of criteria. It could mean scanning coverage and flagging themes, gaps, and reporter follow-up opportunities. It could mean preparing a meeting agenda by referencing an activity tracker and updating the most recent agenda.

The point is to start with the work, not the agent label.

The best use cases may look boring at first. They will involve repeatable workflows, familiar source material, and clear review points. That is what makes the output useful and likely more trustworthy.

The agent boom does not mean you need a fully autonomous system on day one. For most communications teams, it can start with a process they already understand and a question: Which part of this should no longer take as long as it does?

Elsewhere …

Tips and Tricks

👾 Transferring you to an agent

What’s happening: AI agents are gaining steam. A BCG survey earlier this year found that one-third of enterprises are increasing their use of AI agents. Muck Rack’s State of AI in PR report found that 12% of the industry was already using agents when the report was released in January. That figure has almost certainly increased since.

Packing your e-bags: While agents work a bit differently than chatbots, you still want them to know your preferences. Conversations with the chatbots you’ve been using can help give you a great head start. Ask them for a transition document that extracts the most pressing information about how you like to work and what you look for in the output for different tasks (combine documents if you work with multiple chatbots). Upload that file to your agent, and tell it to remember the contents of that document for all the work you’ll do together.

Try this: A prompt like the following should give you the crux of a good transition document:

“I have access to an AI agent, and I want it to know everything about me that you do. Can you create a transition doc that will give it some context about who I am, the nature of my work, the clients I serve, and my preferences for how to work?” 

Quote of the Week

“We are definitely heading to a world, I believe, where agents are the predominant user of software. I don’t think that means that humans quit using software. I just think that there’s going to be so many more agents.”

— Wade Foster, CEO of Zapier, to Axios in a story about the rise of software made for AI agents

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Dave Isaac

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