Hi Raj, How do you programmatically and objectively define a successful outcome in a way that prevents billing disputes between the provider and their customers?
Hi Raj,
If the cost of running an AI agent can vary a lot from task to task, how do teams determine pricing while keeping profits and financial risk under control?
As costs vary, I think it becomes even more important to track costs for each task.
Also, if costs also vary a lot without usefulness, it becomes difficult to pass these costs onto the customer.
Hence pricing needs to take care of volatility in cost as well. However, pricing is mostly dependent on the value AI Agents create. That I think, AI builders need to generate somehow, instead of just activity.
Some definitions of outcomes I believe are very easy to determine. Even if the outcomes are easy to determine, the outcomes I am certain are negotiated between the buyer and seller, just as a service contract.
There could be some workflows where outcomes may not be immediately delivered. Take for instance, a recruiting AI agent solving a successful hire. I would be very glad to understand those scenarios in the field.
I am curious to know your opinions to the questions I am thinking about.
What do you think are the challenges with AI Agents pricing? How you are currently pricing your AI Agents work?
Would be great to know what HN community thinks.
Hi Raj, How do you programmatically and objectively define a successful outcome in a way that prevents billing disputes between the provider and their customers?
Hi Raj, If the cost of running an AI agent can vary a lot from task to task, how do teams determine pricing while keeping profits and financial risk under control?
Hey ,
As costs vary, I think it becomes even more important to track costs for each task.
Also, if costs also vary a lot without usefulness, it becomes difficult to pass these costs onto the customer.
Hence pricing needs to take care of volatility in cost as well. However, pricing is mostly dependent on the value AI Agents create. That I think, AI builders need to generate somehow, instead of just activity.
Who owns the definition of outcome? Furthermore, how do we achieve alignment when the desired results are nuanced or subjective?
Some definitions of outcomes I believe are very easy to determine. Even if the outcomes are easy to determine, the outcomes I am certain are negotiated between the buyer and seller, just as a service contract.
There could be some workflows where outcomes may not be immediately delivered. Take for instance, a recruiting AI agent solving a successful hire. I would be very glad to understand those scenarios in the field.