Takashi Inokuma

A high-end, detail-oriented environmental photograph focusing on the hands and torso of a sophisticated man in his late 30s, seated at an ultra-minimalist workstation. The subject has hands with a warm, medium-olive complexion, showing sun-kissed tones and the firm texture and mature character of a professional in his prime. He wears a premium, tailored oatmeal beige merino wool crewneck sweater with a visible, soft knit texture. His hands are resting naturally on a matte black, blank-keycap mechanical keyboard. On his left wrist, partially visible beneath the sweater cuff, is a sleek, premium minimalist smartwatch with a dark brushed titanium case and a refined, natural brown leather band. In front of him, a large, thin-bezel monitor displays a clean light grey interface with the centered text exactly: 'Responsible AI starts with better business questions.' rendered in an elegant charcoal sans-serif typeface. The desk surface is a solid slab of light-toned natural oak, completely free of cables or clutter. Lighting: Soft, diffused northern daylight from a large side window, highlighting the warm skin tones and organic textures of the wool, leather, and wood grain. Aesthetic: Zen-like precision, sophisticated minimalism, natural color palette, 8k resolution, shot on a medium format camera with an 80mm lens at f/4.0 for sharp focus on the screen text and hands against a smooth, neutral-toned background wall.

About Me

AI is no longer a future trend—it’s already shaping how business decisions are made.
What’s still missing is clarity.

I work at the intersection of business analysis, product thinking, and decision-making, where AI is not a goal in itself, but a tool that must justify its cost, risk, and impact.

This website is where I document and share a practical, business-first approach to using AI—focused on real use cases, measurable outcomes, and responsible implementation.

I don’t write about AI models or chase tool trends. Instead, I focus on:

  • Deciding when AI actually makes business sense
  • Translating business problems into AI-ready requirements
  • Evaluating AI output in non-deterministic systems
  • Measuring value when accuracy alone is not enough
  • Communicating uncertainty, risk, and ROI to stakeholders

My work is aimed at Business Analysts, Product Managers, and decision-makers who are expected to “use AI” without clear frameworks to do so effectively.

The purpose of this site is simple:
to help teams think better, decide better, and avoid costly AI mistakes.

— Responsible AI starts with better business questions.

I occasionally share practical frameworks and notes on using AI in business analysis and product work.
If that’s useful to you, you can subscribe below.