AI agents can automate your processes and lower costs.
Much of the early work building out AI capabilities focused on training and implementing AI models and ecosystems. Agents shift that focus to putting AI to work, taking the output of trained models, the inferencing process that passes new data to models to evaluate, and using it to act.
In chat-based interactions, the user must build context for the model by creating the prompt and pulling together supplemental information to frame the answers it generates. Agentic approaches shift from prompt engineering to context engineering, or the process of ensuring the best possible context is established for a model to work.
We can design and build AI agents that run on your premises or your cloud, on your data. We can also write the MCP (Model Context Protocol) connectors to access such data.
You will get a turnkey AI agent that works for you.