There are only 3 buckets of value that matter for AI implementations.
Time/cost savings: Is AI going to replace the work humans do, cheaper or faster?
Revenue uplift: Is AI going to increase the amount of money I make, after accounting for token spend?
Risk reduction: Will I
Good post on how to think about process redesign in an enterprise with AI Agents.
Unfortunately for most workflows, there’s no “easy” button. The best way to get real efficiency gains is you have to actually reengineer the process to take advantage of what agents are actually
This is the fundamental misunderstanding around point solution AI (the majority of AI solutions on the market today).
There is absolutely no reason to silo your AI into a role, or even a department.
“the AI BDR” and “the AI accountant” are shortsighted. People held those roles
why are we building AI agents like tiny fake companies 😭
planner, researcher, critic, manager, decider
computers do not have human problems. why are we giving them human bureaucracy
starting to think “the agent” might be the wrong abstraction
someone who works on this tell me
We've spent years inside the biggest companies on Earth, understanding the nuances that go into 'Applying' AI.
I condensed our findings in the article below. Strongly recommend it to anyone thinking about using AI in a large, complicated organization.
