Generative AI is a top priority for most chief executives, leaving engineering leaders with the challenge of extracting business value from the promising technology.

Generative AI chatbots on their own are impressive but not quite useful. In order to extract real business value from generative AI, you need:

1. High-quality, real-time data for retrieval-augmented generation.
2. The ability to bring a human into the loop for edge-case situations.
3. Durable workflows that react in real-time to input from your AI systems.

Getting the Right Data​

Generative AI agents are only as good as the data you feed them. Augmenting AI models with accurate data helps prevent hallucinations and other unfortunate errors.

First, using LittleHorse encourages proper design patterns, allowing you to more easily liberate data from your microservices using the Workflow Streams feature. This provides your AI models with a stream of high-quality, up-to-date information to act on.

Secondly, the LittleHorse platform allows you to execute complex data preparation workflows which would have been too difficult to orchestrate without LittleHorse. When in the LittleHorse saddle, no data landscape is too rough to navigate, allowing you provide your agents with easy access to even the most hard-to-clean data.

AI-Powered Workflows​

Even with the best models and the best data, AI agents are no more than a chatbot until you connect them to your external systems. There are two easy ways to give AI agents autonomy using LittleHorse:

• Allow AI agents to trigger workflows inside LittleHorse.
• Use an AI agent to determine the next step in your workflow.

LittleHorse's workflow and task concepts allow you to easily plug in a model provider of your choice into any workflow, without refactoring other microservice code.

Keeping AI on Track​

Even with the best data and orchestration capabilities, AI workflows occasionally need input from a human expert. Data entered by users could be incomplete and even state-of-the-art models can fail to accomplish the task you ask of them.

When this happens, LittleHorse User Tasks allow you to harden your workflows and mitigate risk by getting input from humans for exceptional cases.