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AI running in our own operations every day

Turn AI into a systemyour team actually uses

Labor shortages, tribal knowledge, repetitive work — we solve your front-line challenges with AI.

A blueprint of AI turning work into a systemFIG.01 — WORK → SYSTEMScattered workAI coreStreamlined resultsAIClient casequotes 10 min → 2–3 min

Take in the work → streamline with AI → output as results

The difference isn't the tool.

FIG.02 / The Wall — Challenges

What trips up AI adoption is less the tools thanembedding it into operations.”

Tool adoption (surface — within easy reach)
GROUND LINE — where the work happens

Embedding into operations (structure — impassable until you dig here)

01

You can't tell where to apply AI first

It's hard to judge which operation to start with for results.

02

Adoption levels differ by employee

The gap between heavy and non-users is wide, so the team doesn't level up.

03

Worried about leaks and wrong answers

There's no clear standard for what you may input.

04

Training doesn't stick on the floor

Even after learning, daily work reverts to the old way.

05

Specs aren't fixed, so you can't commission a build

You can't articulate requirements enough to even start a conversation.

06

Not enough AI/IT talent in-house

No one can own the push, and it stalls when done on the side.

These six aren't solved by improvisation. There's an order to it.

FIG.03 / Method — 5 Steps

Not just training — we embed it into operations and
make it stick as a system.

You can start from whichever step you need.

01

Step 01

Free AI assessment

Free · 60 min

A free 60-minute session to organize your challenges and where AI can help. This is the entry point.

  • We hear out and organize your business and operational challenges
  • 1–3 AI use-case candidates, with priorities
  • A proposal for the next step (training, deeper assessment, or development)
Book a free AI assessment

So, applying this to a single operation —

FIG.04 / Mini Case

For example: here's how AI-driven inquiry handling changes things.

BEFORE

A person digs, then writes

Staff trace manuals and past threads every time to write the reply. It's person-dependent, and easily put off.

With AI

AFTER

AI drafts, a person confirms

AI prepares a grounded draft; a person confirms and sends. Anyone can reply, right away.

Input

  • Customer inquiry
  • Manuals
  • Past replies
  • FAQ

AI Draft

  • Key points
  • Draft reply
  • Supporting sources
  • Points to confirm

Human Review

  • Edits
  • Approve
  • Send reply
  • Handled log

We don't hand everything to AI. We leave the spots that need human judgment. That's why it survives on the floor.

See real customer cases

Tech Reis has, time and again, shaped the rough business image in our clients' minds into a working demo within days. Even before requirements are fully fixed, making things tangible is what moves decisions and builds forward.

Book a free AI assessment

A consultation is enough — no commitment to build.

We run these five steps in our own operations.

FIG.05 / Dogfooding — Our own practice

We run our own operations on AI, too.

Bookkeeping and tax, payroll, hiring, knowledge sharing — the six here are a sample of the work we run on AI in-house every day. So we don't pitch from a deck; we draw on what we've learned by actually using it, and offer what fits your floor.

Running daily across 6 operations
One in-house operations blueprint · 6 areas
Management / triage

AI sorts the day's email.

Only what needs action, by morning.

See details
Challenge
Every morning, just checking and sorting a flood of email ate up time.
What the AI does
AI classifies and summarizes incoming email, delivering only what needs action as a morning and evening briefing. Our CEO uses it daily.
Discuss adopting AI sorts the day's email.
Meetings

Decisions and tasks, written down on the spot.

Decisions and to-dos — nothing dropped.

See details
Challenge
Every meeting created minutes-writing and task-sorting work.
What the AI does
Draft minutes from the meeting and auto-extract decisions and to-dos.
Discuss adopting Decisions and tasks, written down on the spot.
Accounting / tax

AI keeps our work with the tax accountant in order.

A year of tax work, on schedule.

See details
Challenge
Exchanges with our tax accountant and a year of tax deadlines piled up, person-dependent.
What the AI does
A tax calendar tracks deadlines, and answers to review items and document sharing are systematized. Figures come from a deterministic engine, and any external send is approved by a person.
Discuss adopting AI keeps our work with the tax accountant in order.
Knowledge sharing

AI takes over being the person everyone asks.

Ask in Slack, get sources back.

See details
Challenge
Needed info was scattered, and you could only ask 'the person who knows.'
What the AI does
It cross-searches the internal wiki and answers in Slack with sources. Fleeting Slack discussions are summarized and kept as searchable wiki pages, and every update stays in history.
Discuss adopting AI takes over being the person everyone asks.
Hiring

AI does the prep on applications.

The material to judge interviews is ready.

See details
Challenge
Reviewing applications took time, and evaluations varied by reviewer.
What the AI does
Organize application info by key points into an easy-to-review form.
Discuss adopting AI does the prep on applications.
Labor / payroll

AI prepares the monthly payroll transfer.

AI prepares it; a person approves the run.

See details
Challenge
Monthly payroll transfers were manual and nerve-wracking, from checking amounts to executing.
What the AI does
AI prepares the transfer data; after amounts are checked, a person approves execution. The transfer date is computed automatically, avoiding holidays.
Discuss adopting AI prepares the monthly payroll transfer.

These are examples. Each time we talk, we pull from the drawer we actually use.

Check whether a similar example fits your company,
in a free assessment.

So — which stage can your company start from?

Book a free AI assessment

We don't just use AI in our own operations.

FIG.06 / Client Case

Results in our clients' operations, too.

Quoting that only the president could do is now a system any employee can use.

Sticker Quotation Automation System

J.S. Co., Ltd. (sticker & label printing / Higashiosaka, Osaka / 6 employees)

Complex sticker quoting, turned into a web system: enter the specs, and it handles everything from calculation to the quote PDF.

Time to prepare one quote

Before

10 min

After

2–3 min

Complex quotes, too: 1 hour → 10–15 min.

A system built for this exact workflow — beyond the reach of off-the-shelf SaaS.

The kind of speed and flexibility AI development unlocks — shipped in 9 weeks.

Kickoff to delivery

9 weeks

About 1/13 the conventional effort estimate

Who can quote

President only → any employee

The single-person dependency, removed

*Prep times are as reported by the customer. The conventional estimate is our own calculation for building without AI.

If I don't have to work the floor myself, I can grow this company further.

Freed from quoting work, the president can focus on the decisions that grow the business.

Photo of Tomokichi Fujimoto, President of J.S. Co., Ltd.Tomokichi Fujimoto, President, J.S. Co., Ltd.*Published with the individual's consent.

See the actual system in action — about one minute

Read the full case study

Includes how we built it and the full customer interview.

And the systems we built for ourselves grew into a product.

FIG.07 / Product — Our SaaS

We put this AI product on the market, too.

Strix Search is the AI we built for our own sales team — to organize emails and find the right projects. Today it is a product, used by external customers in their SES sales operations.

A tool we made for ourselves, that other companies now pay to use. There is no clearer proof of how we build.

Flexible, fast email search

AI reads and organizes emails that arrive in a different format from every company and rep, and stores them in a database. That enables flexible, fast searches that mail clients like Gmail can't do.

Efficient project–talent matching

It automatically cross-references organized project and talent data. Fitting combinations surface without relying on one person's memory and intuition.

We use it in our own sales work every day — and keep refining it as a product.

See the full case

The full story of how an internal tool became a product.

Strix Search product site
Lux the owl, the AI-detective mascot of Strix Search
Lux the owl, our AI detective — the face of the product.

This is the approach we offer as a service.

FIG.08 / Services

We meet you at whatever stage of AI adoption you're in.

DIAGNOSE · 01

AI operations assessment

We organize AI priorities and material you can use for internal approval.

A good fit if
  • Judge where to apply AI first
  • Want grounds usable for approval
  • Gauge ROI before proceeding
Discuss an assessment
TRAIN · 02

Generative-AI training

Hands-on training from leadership to the floor that doesn't end at 'learned it.'

A good fit if
  • Get the whole company aligned first
  • Adoption levels vary widely by employee
  • Let people use it safely with low risk
Discuss training
BUILD · 03

AI/IT system development

We build AI systems fit to your operations, integrated with existing tools.

A good fit if
  • Automate a specific operation with AI
  • Integrate with existing systems and tools
  • Build something the floor actually uses
Discuss development
OPERATE · 04

Continuous development & operations

Under a quasi-mandate, we walk with you through improvement, operations, and embedment.

A good fit if
  • Uneasy about post-launch operations
  • Want to keep improving continuously
  • Secure stable development resources
Discuss ongoing support

The goal isn't adopting technology — it's solving business challenges.

FIG.09 / Business Impact

Return people's time
to what matters.

We design AI by working back from business challenges.

01

Productivity

Automate time-consuming work with AI to raise the volume and quality the same headcount can handle.

02

Removing tribal knowledge

Reduce 'only they know it' and build a team resilient to handoffs and absences.

03

Coping with labor shortage

Don't rely on hiring alone — extend existing staff's capacity with AI.

There's one prerequisite: using it safely and correctly.

FIG.10 / Governance — Safety

We design the rules that keep AI safe to use — not just hand it over.

AI won't stick just by letting people use it freely. We design internal rules, review flows, and operating structures together.

Input & output safety

  • Drawing the line on input info
  • Hallucination countermeasures
  • Human review flows
  • Internal-use rule setting

Operations & structure

  • Access-permission management
  • Log management
  • Security operations checks
  • Literacy training
Aligned with the MIC/METI 'AI Business Operator Guidelines' and IPA guidance

FIG.11 / Why Tech Reis

Because we know both the floor and development,
we can land AI in real operations.

Plenty of companies can teach you AI. Far fewer run AI in their own operations every day — and stay with you as practitioners, all the way through adoption.

  1. 01

    Teach

    Train teams on how to use AI and raise the baseline.

  2. 02

    Build

    Develop AI systems to a given set of requirements.

  3. This is where Tech Reis stands03

    Operate

    Run AI in our own business every day, with the know-how only real operations reveal.

    Systems refined in real operations have even been productized and offered externally.

That is why we can go beyond teaching — and stay with you through adoption and operations.

01

We practice AI ourselves

Sales, hiring, back office — and development itself. AI runs every day across our own business, and the examples above are just a sample. The practitioners who operate it are the same people who advise you.

See the 6 examples in action
02

Deep understanding of front-line work

A perspective grounded in real operations, honed through our engineering business.

03

End-to-end from development to operations

Teach, build, operate — all handled by our own team.

04

Start small, improve continuously

We confirm the effect and expand step by step.

Tech Reis is an AI-adoption support company that provides, end to end, AI operations assessment, generative-AI training, AI system development, and continuous development support for small and mid-sized companies.

So what actually happens when you engage us?

FIG.12 / Method

Talk. Run it. Grow it. Ship it.

The entry point is the free AI assessment (60 min). Once it sets the direction, here's how development proceeds from there. If it helps, you can start from a working demo within days.

After the free AI assessment, if you move to development

Step 1

Free Consultation

30 min · Free

Free

We turn the assessment's candidates into a build plan in 30 minutes.

3 paths to delivery

A

Straight to AI consulting

+ Optional

A demo app build is also available as an option.

Step 3

AI Consulting

3 months alongside

We shape the AI playbook around your floor.

B

Validate with a demo → Custom build

Step 2

Free Demo

1–5 business days

★ Free

If it fits, we build a working demo in 1–5 business days.

Step 4A

Custom Build

Ship & deliver

We build a system specifically for you and ship it.

C

Validate with a demo → Embed engineers

Step 2

Free Demo

1–5 business days

★ Free

If it fits, we build a working demo in 1–5 business days.

Step 4B

AI quasi-mandate

Embed engineers

AI-fluent engineers build alongside your team, on-site.

FIG.13 / How it works

From the day after you reach out, here's what happens.

  1. 01
    Free

    First consultation (free AI assessment)

    Organize your challenges and AI direction in 60 minutes.

  2. 02

    Operations mapping

    Pinpoint impactful areas and priorities for AI.

  3. 03

    Proposal

    Present the approach and cost in a form usable for approval.

  4. 04

    Execution

    Carry out what's agreed, small and steady.

  5. LOOP

    Continuous improvement

    Keep walking with you to embed and improve, growing results.

The first step is just this one.

FIG.14 / FAQ

Frequently asked questions

Can we consult even if we don't know where to start?

Yes. It's fine even if you don't know where to begin. In a free 60-minute AI assessment, we organize together how AI could help your operations.

What do we get from the free AI assessment?

We organize your challenges and present a direction: 1–3 AI candidates, a brief priority comment, and a next-step proposal. (Detailed analysis, requirement definition, and proposal documents are paid.)

How do you handle data-leak and wrong-answer risks?

We design the line on what may be input, hallucination countermeasures, human review flows, and access-permission and log management — following the MIC/METI 'AI Business Operator Guidelines' and related guidance.

Can we request training only, or development only?

Yes. You can start from whichever step you need: AI operations assessment, generative-AI training, AI/IT system development, or continuous development support.

Can small companies adopt this? What about cost?

Small and mid-sized companies are our main focus. Because we start small and expand as we confirm the effect, you can gauge ROI in the free assessment before proceeding.

How is Tech Reis different from other AI training and consulting firms?

The biggest difference is that at Tech Reis, the practitioners who actually operate AI serve as your advisors. We use AI daily across our own business, including development itself, so what we share is operational know-how, not textbook knowledge. Typical AI training and consulting engagements end at teaching you how to use the tools. Tech Reis goes further: for companies that see the value, we support you through AI and IT system adoption until it runs in your daily operations.

FIG.15 / Free AI Assessment — 60min

It's fine even if you don't know where to start.

Start with a free 60-minute AI assessment to organize how AI could help your operations.

For executives, officers, business leaders, and admin leads. No sales pitch.