AI Agents & Automation
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AI Beat 12 CPAs. Here’s What the Study Actually Shows
Claude scored 100% and 12 CPAs averaged 37% in Mercor’s study. What it shows about AI, what it doesn’t show about accountants, and the sycophancy problem.
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You’re Already Using Agents. Here’s the Vocabulary for What That Means
The moment AI can take an action instead of just answering, your control environment has to change. Here’s what “agent,” “agentic AI,” and “tool use” actually mean.
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Capability Isn’t Free: What Amazon’s AI Benchmark Means for Your Agents
Amazon tested AI agents on 2,000+ real tasks and found giving them extra tools nearly cuts success in half. Here’s what that means for your firm.
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Bolt AI On or Redesign the Workflow? Two Examples That Make It Obvious
Two examples, a client memo and an AP/AR process, show exactly when to bolt AI onto a workflow and when to redesign it instead.
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The Compiler Advantage: Why AI’s Coding Boom Doesn’t Automatically Cross Into Accounting
OpenAI’s researchers are getting 3x productivity from AI agents. That math doesn’t carry over to accounting and finance, and it’s worth knowing why.
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Workflow, Loop, or Graph?
Loop engineering became graph engineering in 41 days. Here’s why they’re basically the same idea — and why you don’t need to keep up.
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The AI Trade-Off Nobody’s Talking About: Time
A new AI benchmark shows local models can match cloud quality but take longer. Here is what that time trade-off means for your firm.
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Build AI Workflows That Scale
You got AI to do something once. Here’s how to turn that one-off win into a repeatable, scalable workflow instead of starting from scratch every time.
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When Your Expense Tool Starts Doing Your Books
Ramp just launched AI agents to handle the monthly close. It’s not just a product announcement — it’s a pattern accountants need to understand.
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The AI Output Gap
A peer-reviewed MIT and Wharton study of 100,000+ developers found that AI tools increased code output by 1,700% — but software releases rose only 30%. Here’s what that gap means for accountants.