Direct answer
An AI consultant helps a business or product team make better decisions about AI — which workflows to automate, which tools to use, how to manage risk, and how to measure whether it actually helped.
They are not a vendor. They are not building your product for you. They are the thinking partner who helps you avoid expensive mistakes and find the real leverage.
What good AI consulting looks like
- Identifying where AI creates real value vs. where it creates confident-sounding mistakes
- Designing human review gates and data boundaries before buying any tool
- Helping you build or evaluate AI-native products (not just AI features bolted onto existing software)
- Translating LLM capabilities into business decisions a non-technical leader can make
- Setting up measurement so you know if AI is actually helping
What it does not look like
- Recommending a specific LLM without understanding your use case
- Building generic chatbots and calling it AI strategy
- Ignoring data privacy and governance
- Measuring tokens processed instead of decisions improved
How B. works in this role
B. PM Consulting focuses on AI product strategy and AI-ready operating infrastructure — not model selection or generic automation. The work is usually at the intersection of what to build, how to structure it, and whether the organization can support it.