"AI keeps coming up, but I have no idea where to start."— Most consultations begin exactly there.Working mainly with SMEs and startups, we draw on hands-on support across many industries to walk with you from problem-framing to AI design, build, and adoption.
What the free consultation covers
About 30 minutes, online. Just tell us what's on your mind.
Does any of this sound familiar?
What we do
Turning a small or mid-sized business's "could AI help with this?" into something you can actually run. We stay with you from problem framing through operation.
Key service areas
The entry point for "could AI help with something?" — we take stock of your operations and design the order that pays off first.
Example conversations
We automate daily aggregation, document creation, and data entry — returning the hours spent on repetitive work to the work that matters.
Example conversations
We organize scattered sales and customer data so decisions run on numbers, not gut feel.
Example conversations
We get ChatGPT and generative AI embedded deep enough that your team actually uses it day to day.
Example conversations
Small, fit-to-purpose tools that eliminate manual work and double entry — including extending the spreadsheets you already run on.
Example conversations
We turn ideas that build on your strengths into a working MVP — so you can validate before committing a large development budget.
Example conversations
Not sure which service fits? We'll start from whatever is slowing your team down and figure it out together.
Book a free consultation→Track record by theme
A few of the projects that started with "could AI do something about this?" The industries differ, but the place where work gets stuck is often the same.
Cut the time spent searching
Internal document search (in-house RAG)
A single search surface across policies, meeting notes, and contracts — so "where was that file again?" stops costing hours.
Industry signals — weekly auto-report
Sweep news and public sources around a theme or competitor set, then auto-generate a weekly report of only what's worth acting on.
Automated inquiry & internal help desk
Automate answers to FAQs and internal procedures, so staff stop repeating the same explanations.
Automatic meeting-note & document summaries
Turn meeting audio and long documents into just the key points, ready to share.
Support human judgment
Predictive models for manufacturing
Build models from process parameters and historical runs, so calls that relied on a veteran's instinct get backed by data.
AI intake chatbot
Automate first-pass intake through a LINE-connected AI chatbot, freeing your team for the conversations that actually need them.
Sales & KPI dashboards
Pull scattered numbers onto one screen, ready for the executive meeting or the team's daily calls.
Document & applicant screening support
Organize and pre-read large volumes of documents or applicants, so people focus on the final judgment.
Make it stick in the organization
Enterprise AI training programs
Workflow-grounded sessions and hands-on practice — not accounts handed out and forgotten, but AI actually used on the floor.
AI usage guidelines & rollout
Sort out security, copyright, and operational policy, and partner on the rollout that turns the guidelines into habit.
Automated recurring reports & forms
Automate monthly aggregation and form-filling, freeing the floor from repetitive work.
Internal AI assistant rollout
Configure ChatGPT and the like around your operations, so day-to-day research and writing can be handed off.
These are examples. A good first conversation can start simply with which part of your work takes the most time.
Product releases
Front-line problems turned into systems people actually use — built and operated end to end. A few representative examples.
AI hiring assistant
Hiring where the human can focus on the human callAn AI hiring assistant for small and mid-size companies. By automating resume screening, supporting interviews, and streamlining candidate communication, recruiters get to spend their time on the part of the call only a human can make.
Learn moreScope
Boat-race prediction AI
A predictive model that ships as daily editorial in a national outletDesigned, built, and operated a system that generates and distributes prediction content daily for a national boat-race publication. Data acquisition, predictive modeling, and content delivery — one continuous pipeline.
Learn moreScope
Outcomes
Facing something similar? We'll suggest an approach that fits your situation.
Talk to us about it→Why Fluxell
There is no shortage of people who will take on an AI project. Here is an honest account of why clients pick us.
01
We don't open with tools or technology. Having worked inside the operations of 50+ companies at Sansan and Keyence, we start by listening to what's actually getting in your way, then find an approach that fits your business.
02
We don't juggle many projects at once. That's exactly why we can understand your situation deeply — and why the same person stays with you from first conversation through implementation.
03
We never ask for a large contract up front. The first consultation is free — a PoC (small prototype) shows whether it really works in your operation before you decide whether to scale.
04
AI handed out is AI ignored. We design who uses it, when, and where a human takes over — and stay until it is actually used and embedded on the floor.
What happens next
Here is exactly what happens after you get in touch. We never ask for a large commitment up front.
STEP
01
An online call to hear about your current work and where it hurts. No charge.
At this stage
STEP
02
We structure what we heard and come back with what AI can realistically cover, how we'd proceed, and a rough sense of cost.
At this stage
STEP
03
No big build up front — we start at the smallest unit you can actually test in the work. If it doesn't fit, you can stop here.
At this stage
STEP
04
Move to production on the back of what the PoC proved — and stay with it until it is genuinely being used.
At this stage
"I don't even know what to ask for yet" is a perfectly fine place to start. Nothing is pushed forward at STEP 01.
Stance
Adopting AI is not the goal. The goal is something that actually shows up in your profit.
We start by listening — to the people on the ground and the owners making the calls — before assuming any answer.
We don't stop at "looks useful." We stay with the implementation and the operation until the results show up in the numbers.
Founder
FUKUOKA NORIMASA
Norimasa Fukuoka
Founder, Fluxell / AI Adoption Consultant · Product Development Engineer · Data Scientist
Working inside 50+ companies at Sansan and Keyence, one thing became painfully clear: when results don't come, the reason is rarely the technology — it's a poor fit with how the work actually runs.
That is why I start with the work, not the tools. Get close to the operation, find the real problem through dialogue, and shape value with data and AI. That, stacked over time, is what I care about.
Career
2020–2023
Sansan, Inc.
Cloud SaaS sales covering the enterprise segment, plus product discovery and improvement work driven by quantitative and qualitative research.
2023–2025
Keyence Corporation
Data activation support across about 50 client companies — spanning manufacturing, retail, construction, entertainment, and services. Solving problems using deep field knowledge.
2025–
Independent / Fluxell
Supporting operational improvement, new-business development, and growth at companies through AI and data activation.
Expertise
The disciplines we draw on — front-line operational know-how multiplied by the power of data and AI, in service of value that matters.
Sales / UX research / Interviews / Behavioral observation / Persona design / Problem framing
Python / BI / KPI design / Visualization / Predictive models / Dashboards / Analytics design
ChatGPT / RAG / AI agents / n8n / Claude Code / Prompt design
Product design / UI/UX / Operational flows / Adoption / Effectiveness validation / Continuous improvement
Articles
The reality of putting AI to work on the ground, written down as concretely as we can.
Articles are on the way.
FAQ
What does AI adoption support actually cover?
Everything from mapping your operations and clarifying the problem, to automation, data activation, embedding generative AI in daily work, and building internal tools or AI products — from first step to steady operation. In the free initial consultation, we work out together where AI fits your business.
How much does it cost?
We don't publish a fixed rate card, because scope varies enormously — automating one workflow and building an AI product are different orders of magnitude. After the free first consultation, we come back with a proposed approach and a ballpark figure.
I'm not technical. Can I still talk to you?
Yes — that describes most of our clients. We don't lead with technical vocabulary. The conversation starts with your work: which tasks eat time, and who is deciding what.
I don't have a clear brief yet.
That's fine. "I want this task to stop being painful" or "could AI do something here?" is enough to start. The first session is less about collecting requirements and more about mapping the work together.
Do you work with small companies?
Yes. Small and mid-sized businesses are our focus, and we're glad to hear from teams of a few people or sole proprietors. A narrow engagement covering just one workflow is completely fine.
If I book a consultation, am I committing to anything?
No. The first consultation is free and carries no obligation. Sometimes the honest answer after hearing you out is "AI isn't the right move right now" — and we'll say so.
Where do you work?
Primarily online, serving clients across Japan. In-person meetings are possible where it helps (based in Tokyo).
Get in touch
Anything from problem framing to a still-forming idea. No need to have it all worked out. We will listen properly and propose the next step that fits. The first consultation is free.
We typically reply within 1–2 business days.
We would love to hear from
Leaders & new-business owners
Driving new value and growth — and ready to bet on AI and data.
DX / AI program leads
Turning internal data activation and operational change into results.
Functional leaders on the ground
Knowing the work and the customer cold, wanting change that actually works.
New business & product development
Combining your company's strengths with AI to shape a new business.
