If you are a large company, you can hire a consulting firm. But that often costs $100K+ and takes months. If you are a smaller or mid-sized team, you usually rely on internal analysis, spreadsheets, scattered research, or ChatGPT. Those can help, but they often leave you with the same problem: you still need to know what question to ask, what framework to use, what evidence is missing, and whether the recommendation is actually decision-ready.
We built NitroLens AI to make consulting-style strategy work more accessible through AI agents.
The product starts with a strategic question, such as:
Should we enter this market? How should we price this product? Which growth channel should we prioritize? What should our AI transformation roadmap look like?
NitroLens then runs a structured workflow:
clarifies the business problem selects a relevant strategy framework builds an analysis plan asks for specific internal context or data when needed runs external research and analysis through specialized agents tests hypotheses produces an executive-ready strategy report or presentation
The goal is not to replace human judgment. The goal is to give teams a structured strategy process they can actually use, especially when traditional consulting is too heavy and general-purpose AI is too open-ended.
We’re opening public beta now. Selected users get 1,000 free credits to run a full strategy project.
Beta access: https://tally.so/r/gDQv9P
Demo video: https://youtu.be/2yykqq5kgoE Example outputs: https://1drv.ms/b/c/0bb8bd164e52642b/IQBTOcLhUtzTTZZPDELtdTk...
I’d love feedback from HN on:
whether this feels meaningfully different from using ChatGPT/Claude directly what would make AI-assisted strategy analysis more trustworthy where you think this workflow would break down what kind of business questions you would or would not trust an agent to help with
Happy to answer questions.