JAKOEN
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JAKOEN
Book a free consult
Services

Not consulting alone,
not implementation alone.

From mapping where you stand to shipping a workflow that runs — four services, one partner.

01 · MAIN

AI Automation & Operations

We map the work and decide what AI handles and what people own. Start with one process and run it with verification built in. We also help build AI-powered teams — AI working as departments in your business.

What we keep seeing
  • Re-keying fax and paper orders by hand
  • Typing the same data into another system
  • Using AI every day, while output nobody has fully checked keeps piling up
02

AI Development Capability Building & Tech Advisory

We set up a development process with third-party review, building security checks into the flow of development. After rollout, we stay on as tech advisors to support your decisions.

What we keep seeing
  • Unsure about the quality and security of apps built with AI
  • Want to build, but don't know where to start
03

AI Training

Training built on your own work, where everyone gets hands-on. The improvement ideas it surfaces feed straight into improving how you work.

What we keep seeing
  • Does what people heard in training fade by the following week?
  • Do only the confident few get hands-on while everyone else just watches?
04

Development & Operation of Our Own Apps

We run the Hangul-learning app Kumitate Hangul from planning to release on iOS and Android — including an English edition in four countries. With the same team, we can also discuss contract development of business apps and websites.

See Kumitate Hangul →
Case studies

Automate before you hire.

See work as lines, not dots. A set of lines becomes an organization. (dots → lines → organization)

Case 01Process automation

Customer support, end to end with AI.

We turned the inbox-to-reply process, once stitched together by hand across separate tools, into a single line.

Email handling effort down roughly 70% (email channel basis)

See before / after
BeforeAfter
Staff key inbound emails into the CRM by handAI parses inbound email and registers it in the CRM automatically
Staff search the FAQ by eye and draft replies from scratchAI matches against the FAQ and drafts the reply
Every hand-off between tools is manual (copy and paste)People only do the final check and send
Case 02AI organization (in-house proof)

An organization isn't headcount.

We built the functions a company needs as AI "departments" and run them ourselves. A person always gives final approval.

Back-office run with no dedicated staff / executive briefings and cash-flow forecasting automated

See each department's role
DepartmentWhat the AI actually does (in production)
MarketingDrafts and writes articles. People only approve
ConsultingTracks the deal pipeline, alerts on follow-up deadlines, drafts proposals
AdministrationAI classifies invoice emails, then after human approval the system posts them to our accounting software (freee). Monthly close reports and 30/60/90-day cash-flow forecasts
EngineeringProduct development and regular progress reports
Quality assuranceA separate AI audits the first AI's output before it reaches a human for approval

Design principle

AI decides, the system executes, a person signs off. "But doesn't AI make mistakes?" — that is exactly why we place an auditing AI in the loop and require a human for final approval.

Case 03AI enablement training

Leave no bystanders.

Training where everyone gets hands-on. It ends with teams finishing a proposal for a fictional client the same day.

"Our people changed from that day. Everyone wants to try things, everyone wants to change."From the client

See how the training runs

Case (HR consulting firm, custom program)

1) Lecture (the history of AI and how to approach it) → 2) Hands-on demo (app building, music generation) → 3) Practice (teams of two to three complete a proposal for a fictional client, same day).

For the practice session we pre-loaded a fictional company profile and the client's own consulting method, then added interview notes on the day. Each team worked through the proposal with AI and produced the proposal document itself.

Additional track record

Company-wide training for a company listed on the Tokyo Stock Exchange TOKYO PRO Market (TPM) among others, with a consistent design from the executive team down to the front line. We deliver the same design at the scale of a smaller business.

* Some of these cases were planned and delivered by our founder while at a previous employer.

Proven in-house

AI changed what counts as normal at work.

The old assumption

A website is built once, then costs you updates and upkeep

Now (proven in-house at AISolve)

AI drafts articles; a person approves and publishes. We keep publishing at near-zero running cost (ai-solve.net)

See it — Insights on this site →
The old assumption

Building an app takes a team, a big budget and a long timeline

Now (proven in-house at AISolve)

One person, small and fast, all the way to store release (Kumitate Hangul — available on iOS and Android)

Launched on Google Play on July 12, 2026, and on iPhone on October 10. The English edition, "Hangul Builder: Learn Korean," is available in the US, UK, Canada and Australia.

See Kumitate Hangul →
Screen explaining how a consonant and a vowel combine side by side to make 가

"It'll be expensive." "It'll take forever."
Those assumptions may pre-date AI.

Start with a 30-minute call to look at the inefficiencies you can't see yet.

Book a free consult