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Olivia Moore

๐Ÿ‘ค Speaker
237 total appearances

Appearances Over Time

Podcast Appearances

The a16z Show
Building AI Agents for Enterprise Operations

And actually max buy, the max amount of money the bot can actually see or actually negotiate is not even exposed to the bot.

The a16z Show
Building AI Agents for Enterprise Operations

We were not exposing that.

The a16z Show
Building AI Agents for Enterprise Operations

We were doing external negotiation algorithms so that the bot would just ask for permission, literally the same way a human would, like, hey, let me ask my boss.

The a16z Show
Building AI Agents for Enterprise Operations

And it was really just calling a tool and asking for permission to do more.

The a16z Show
Building AI Agents for Enterprise Operations

And we would inject back the rate, no?

The a16z Show
Building AI Agents for Enterprise Operations

So those sort of things, instead of like just putting in the context window and having the LLM just freestyle it, we do it in a more deterministic approach.

The a16z Show
Building AI Agents for Enterprise Operations

So it's always that mix of probabilistic plus deterministic where you need to let everything to the AI, no?

The a16z Show
Building AI Agents for Enterprise Operations

Yeah, no, I subscribe to everything.

The a16z Show
Building AI Agents for Enterprise Operations

I guess another example on like the negotiation, which is always like how we started and all these demos went pretty viral.

The a16z Show
Building AI Agents for Enterprise Operations

And I guess one point of how raw intelligence really wasn't enough is when you're negotiating

The a16z Show
Building AI Agents for Enterprise Operations

for example, loads, and there's like 10 carriers or 10 like buyers calling at the same time, you cannot have all those agents like doing work independently, which is what happens to a certain degree with like humans.

The a16z Show
Building AI Agents for Enterprise Operations

They're on the floor and sure, they shout to each other and they're like, hey, this is a very hot load.

The a16z Show
Building AI Agents for Enterprise Operations

Please negotiate harder.

The a16z Show
Building AI Agents for Enterprise Operations

I have someone interested, you know?

The a16z Show
Building AI Agents for Enterprise Operations

All this information is really not in the model.

The a16z Show
Building AI Agents for Enterprise Operations

So what we started doing is when you have inbound calls for the same load, you can start like,

The a16z Show
Building AI Agents for Enterprise Operations

sharing context across them like hey I have someone they're very interested please push harder like this is a hot load please also all this information sharing is literally what you put in the context window at any point in time like general intelligence or the raw intelligence doesn't really know if someone else is calling on that load so it's all that about like what do you know about the business what do you know about the negotiation strategies maybe you know that pushing harder on this load because it's like

The a16z Show
Building AI Agents for Enterprise Operations

cross-border is going to be better or whatnot.

The a16z Show
Building AI Agents for Enterprise Operations

Like that's not general intelligence.

The a16z Show
Building AI Agents for Enterprise Operations

That's very specific and different enterprises operate differently.