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cleverhack.comThe challenges of building agentic AI systems for business use casesMarch 2025
Recently, I've been speaking with folks curious about the challenges of building agentic AI systems for business use cases. After surveying current offerings, a few clear go-to-market patterns have emerged.
✓ Make the agent ridiculously easy to try: The technical barriers to agentic adoption remain surprisingly high. For example, far too many solutions are prematurely described as "for the Enterprise" or are hidden behind product trials. While ironically, the agents with the most enthusiastic word-of-mouth and fastest traction are those where /all/ potential users can see results quickly.
✓ Deployment flexibility matters: The most successful agentic systems offer both resources for developers and hosted solutions for those who want to get hands-on and build. A real choice of agentic implementation is becoming table stakes.
✓ Don't forget prosumers: The technically-savvy professional user remains a critical first audience. You absolutely want to win the stakeholders who can define and own the business problems agents should solve. In addition, if these stakeholders are successful, they will advocate for your solution across their business.
Today's agentic AI landscape reminds me of early SaaS adoption, as there is an impressive amount of technical prowess on display, but business user experience and implementation flexibility ultimately drive sustainable growth.
What are folks like you seeing in regards to agentic AI adoption? I'd love to know.
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This is a hand-coded, artisanally crafted web page. Made with ♥ in Silicon Valley. Copyright © Joy Larkin 2002-2025.
about
•••
contact
•••
speaking
•••
cleverhack.com
•••
llms.txt
•••