Operational improvement, generative AI adoption, data analytics, AI product development.Listening to your people and the ground truth of the work, we walk with you from problem framing through implementation and operation.
Workflow automation & AI ops
Data activation & analytics
Generative AI training & adoption
AI product & MVP development
Beliefs
Using AI is becoming a question few workplaces can sidestep. But AI rolled out without a purpose, or without a feel for the work itself, ends up shelved.
Fluxell sits close to the people and the work, and carefully sorts out what the AI is actually for. Then we design AI, data, and product as the right means — and stay with you until it earns its place in daily use.
What we do
From operational improvement and data activation to generative AI training and AI product development. We meet you wherever you are — problem framing, implementation, or rollout — and stay until it is running.
Key service areas
Automate manual handoffs, data entry, approvals, notifications, and reporting. We compose n8n / GAS / API / Google Sheets / Slack / LINE so the system actually survives in production.
Example conversations
Take revenue, customer, and operational data and turn it into something a decision can actually be made on. KPI design, dashboards, predictive models, and reporting flows.
Example conversations
Make ChatGPT and generative AI usable in real work. Training, workshops, prompt design, internal guidelines, and the rollout work that makes any of it stick.
Example conversations
Turn ideas for new services or internal tools into working prototypes. Requirements, UX, AI feature design, and implementation direction.
Example conversations
Themes we have worked on
Across industries and functions, from strategy through design, implementation, and operation. A few of the themes we have walked end-to-end with our partners.
Supporting people
AI intake chatbot
Automate intake conversations through a LINE / WhatsApp AI chatbot so advisors can spend their time on the parts that actually need them.
Employee engagement survey & analytics
Surface feedback, route recommended actions, and improve the state of the organization on a continuous loop.
Making information findable
Internal document search (in-house RAG)
A single search surface across policies, meeting notes, and contracts that removes the dependency on whoever happens to remember.
Real-estate listing extraction pipeline
Pull listings from multiple portals, structure them, and load them into the internal database — automatically.
Industry signals — weekly auto-report
Sweep news, social, and public sources around a theme or competitor set; auto-generate a weekly report of only the signals worth acting on.
Helping decisions
Predictive models for manufacturing
Build models from process parameters and historical runs, then sharpen them with daily training.
New-business market & competitor research
Market size, growth, competitors, and entry risk — packaged for the first real go/no-go decision.
Partnership / M&A screening
Pull candidates from enterprise databases with AI and score them across synergy, financials, and tech stack.
Speeding up creative work
Generative AI short-form video pipeline
Compose ChatGPT, Imagen, Veo, and others to auto-generate social short-form video — and slash production cost.
Logo and brand variation generation
Generate logo candidates from a brand’s tone and worldview, then iterate together until the chosen one is right.
Landing page & web design variations
Spin up multiple LP designs across messaging, layout, and tone — to accelerate A/B testing and internal alignment.
Embedding it into the organization
Enterprise AI training programs
Workflow-grounded sessions and hands-on practice that make AI skill stick inside real work.
AI usage guidelines & rollout
Sort out security, copyright, and operational policy, and partner on the rollout that turns the guidelines into habit.
These are examples. Regardless of industry or scale, we propose what fits your situation.
Work
A few representative examples — ideas and front-line problems turned into systems that are in use, shipped and operated as products that move outcomes.
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
Co-creation & partners
AI alone does not create value. Value shows up when we work with the people who deeply understand the ground and the customer, facing the real underlying problem together. That is when a system actually gets used.
Fluxell wants to think together, build together, and grow together — and build long, trusting relationships with partners who do the same.
We would love to work with
Operating-company leaders and new-business owners
Leaders driving real value creation and growth — and willing to bet on AI and data to do it.
DX and AI program leads
The people in charge of internal data activation and operational change — who need it to land, not just launch.
Functional leaders who know the work cold
Front-line leaders who carry the day-to-day knowledge of the work and the customer, and want change that actually works.
Co-founders and product co-creators
People who share intent and business sense — and want to build the product alongside us.
Process
Stay close to the ground, find the real shape of the problem, and connect it to a system whose value lasts. A loop of thinking together, validating together, and growing the thing together.
STEP
01
Interviews and field observation to understand context, background, and pain — properly.
Concretely
STEP
02
Structure and analyze what we learned, expose the real problem and its cause. Why is it happening? What is keeping it stuck?
Concretely
STEP
03
Start from the user’s experience and the flow of the work. Design the direction, the idea, and the concrete shape of how AI and data come in.
Concretely
STEP
04
Validate value and viability through a prototype or PoC, and grow it into a product that holds up as a system.
Concretely
STEP
05
Stay with you through adoption and iteration so the outcome keeps showing up — a steady cycle of operate, learn, improve.
Concretely
Not a system rollout — a system of work that keeps producing the outcome.
Articles
What we are seeing when AI meets actual workflows, written down honestly.
Articles are on the way.
Founder
FUKUOKA NORIMASA
Norimasa Fukuoka
Founder, Fluxell / AI & Data Activation Director
I believe technology is not the goal — it is a way to widen what a person can do.
Stay close to the work, talk until you can see the real problem, and design the value with data and AI.
That work, stacked over time, changes the trajectory of organizations and the people in them.
Creating the spark that starts that change — that is what I put my energy into.
Career
2020–2023
Sansan, Inc.
Enterprise sales — finding customer problems and shaping proposals. Contributed to data-driven sales strategy.
2023–2025
Keyence Corporation
Sensor solution sales and implementation support. Solving problems using deep field knowledge.
2025–
Independent / Fluxell
Supporting value creation 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
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.
We typically reply within 1–2 business days.
