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Top business processes for AI agents
Plus: LangChain’s resources for agent builders, the math behind agents’ business value, and more
Michael Cunningham
March 20, 2025
Welcome back to Building AI Agents, your biweekly guide to everything new in the AI agent field!
It’s a 10 year old SaaS company with a python backend and runs on a traditional database. No LLMs or agentic AI
— Amend and Pretend (@amendandpretend)
4:32 PM • Mar 16, 2025
Remember, an ugly GUI means no confidence.
In today’s issue…
LangChain’s resources for agent builders
An open framework for computer use agents
How to know a business process is ripe for agentic AI
No one knows what the hell an AI agent is
…and more
🔥 IN CASE YOU MISSED IT
Readers’ favorite items from last week
📰 NEWS
Source: ServiceNow
The RPA firm announced the $2.85 billion acquisition of enterprise automation company Moveworks, added new agents to its pre-built library, and updated its agent building and orchestration software, all intended to bolster the company’s position in a space it has been hotly contesting with other RPA rivals.
The popular agent and LLM framework provider announced a successful Series A funding round to support development of its enterprise agents, which focus on the use of business data at scale to automate critical workflows.
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🛠️ USEFUL STUFF
Source: Game Rant
Some of LangChain’s useful texts for agent builders, such as their roundup of breakout agentic apps and their State of AI Agents report.
Agent S2 is the second generation of Agent S, an open-source alternative to proprietary computer use agents by Anthropic and OpenAI.
Agentic Radar is a tool that enables users to visualize and perform security audits on your agentic systems, a critical part of agent-building given their numerous vulnerabilities.
💡 ANALYSIS & RESEARCH
Source: Wikimedia Commons
As transformative as AI agents will be for many enterprise functions, not all are immediately suited to them. This article provides some advice on how to distinguish the two, and a list of four ideal scenarios for agentic automation.
A set of observations on the state of the agent field and predictions for their future, including upcoming stumbling blocks and areas of opportunity.
Much as we recently did, the authors of this piece do a deep(er) dive into the math dictating whether agents will deliver a positive ROI to businesses that adopt them.
A recap of the surprisingly heated debate over the actual meaning of “agent”, with marketing hype often crowding out firmer technical definitions.
A breakdown of the prospects for the near-term prospects of AI agents—which businesses will embrace them first, which will fall behind, and whether the hype will pan out. Bonus: Building AI Agents’ own predictions.
Practical cybersecurity tips for organizations integrating agents—including new considerations unique to agentic AI.
Thanks for reading! Until next time, keep learning and building!
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