What is an internal AI assistant?

AI gets exciting fast. The trick is keeping it useful, grounded, and tied to real work.

An internal AI assistant helps staff retrieve approved knowledge, summarize documents, draft outputs, and route tasks quickly. What separates it from a public chatbot is governance and source control, it answers from your material, not the open internet. McKinsey has estimated knowledge workers spend a large share of the week just hunting for information, which is exactly the tax a grounded assistant removes.

• Start with repetitive or high-friction work
• Use trusted source material instead of letting AI guess
• Keep humans involved where judgment, risk, or brand voice matters
• Measure time saved, quality improved, and decisions supported
• Treat AI as a workflow tool, not a magic button

How Field Theory helps

• Practical AI use case planning
• AI assistants, chatbots, and workflow automation
• Grounded knowledge systems using your actual content and data
• Prompt, process, and governance support
• Measurement plans for time saved and value created

The best AI projects feel less like science fiction and more like a better way to get real work done.