Runs every dayPre-meeting research
Automatically researches the other party and logs reviews and facility details into the record.
As an executive leading corporate planning, business planning and business development, I've built AI agents myself and changed how the organization runs and earns.
Profile
YOSHIDA KEIGO
I started out in sales at Keyence, then built two businesses from zero: medica, recruiting support for healthcare, elderly-care and welfare providers, and Tsukuru, a no-code development unit. Today, as Executive Officer and CSO at CyXen Inc., I lead corporate planning, business planning and business development. I don't just plan the business — I build the systems that run it every day.
Work
Runs every dayAutomatically researches the other party and logs reviews and facility details into the record.
Runs every dayReads every Zoom sales call and automatically writes the activity record into the CRM for you.
Runs every dayAttaches each meeting's recording link to the record automatically, so no one has to go hunting for it.
Runs every dayIdentifies who joined each call from the recording and logs it, separating data entry from reporting.
Runs every dayUpdates each deal's stage and date by fixed rules, keeping reports from drifting out of sync.
Used in-houseBreaks down calls, appointments and wins by rep and period to show which actions actually close deals.
Used in-houseRanks target accounts on one screen by expected revenue and likelihood of winning.
Runs every dayGathers public government and Hello Work data every night and compiles it into a ledger.
PrototypeCatches name changes, relocations and closures from public data and flags them with sources.
Runs every dayLists each rep's last contact with every client, so neglected accounts are obvious every morning.
Runs every dayRanks neglect risk across all reps, making it easy to decide who needs help right away.
Used in-houseCross-checks every record with AI to flag likely churn, each one backed by evidence.
PrototypeScans every call transcript for outcomes and early signs of complaints, quoting the exact lines.
Used in-houseBuilds an outreach list by contract-end date and double-checks for anyone missed.
Runs every dayLogs each client meeting's conclusions and next steps automatically as calendar events and to-dos.
Runs every dayPicks out client correspondence from the shared inbox and files it into the record.
Runs every dayMoves orphaned contacts to the right account and groups them by client.
In progressFills each deal's minutes field with the meeting's key points, cutting down on manual notes.
Runs every dayLogs every new application into the CRM the moment it arrives, with no duplicates, so reps can call right away.
Runs every dayLogs applications from job boards with no API, triggered by their notification emails.
Runs every dayCounts calls, connects and interviews set up for each application every day, surfacing anything left untouched.
PrototypeAI updates job listings with no update API, operating the client's own computer to do it for them.
PrototypeMoved the site from a paid no-code platform to our own build, cutting the fixed monthly cost.
Runs every dayConstantly checks that every automation is still running and flags only genuine problems.
Used in-houseRebuilds each person's to-do list every morning, so all they do is fill in their own row.
Used in-houseFlags mismatches between systems down to the exact field, current value and the fix.
Runs every dayMatches calendar events against recordings every day and passes only complete ones to the note-taker.
Runs every dayCross-checks calendar events against records every week and reports only the gaps, skipping manual audits.
Runs every dayIdentifies the right client and deal from the meeting title and attendees, and asks the team when unsure.
Runs every dayChecks for duplicates before every entry and clears out empty records left by cancelled meetings.
Runs every dayAsks unclear points only to the person who was actually in the meeting, without stopping anyone else's work.
Runs every dayReports only when something needs action, at midday and in the evening — silent otherwise.
Used in-houseTranscribes meeting audio entirely on-device, then checks the decisions and action items the following week.
Runs every dayFinds, every day, any change that was pushed but never reached production, and flags only real problems.
Runs every dayRolls CRM numbers into the board report every night, and halts if anything swings too far.
Runs every dayMaps a fixed counting rule to every metric, so month-to-month comparisons never drift.
Used in-houseMoves field targets into the record through planning, approval, writing and read-back, in that order.
Runs every dayPulls in sales every night from a storefront with no sales API and shows them on the dashboard.
Runs every dayPulls deals from news and US filings every morning and extracts the parties and amounts.
Used in-houseGathers facts about a company from its own site and filings into a ledger with cited sources.
Used in-houseRuns several AI researchers in parallel to gather material and build a ledger checked against the original text.
Used in-houseBefore any irreversible decision, a separate AI is always required to raise an independent counter-argument.
Used in-houseEnter a facility name and area, and it turns competitors' going rates into a sourced report.
Used in-houseExamines the market, competitors and the client using only public data, and produces an evidence-backed diagnosis.
Runs every dayPosts automatically into an admin panel with no API, then reads the published content back to confirm it.
PrototypeAutomatically produces an audio episode for each company and links from its description to the full article.
Runs every dayEnters the title, description and thumbnail exactly as briefed, then verifies them after publishing.
Used in-houseDiagnoses performance from X's numbers and drafts replies, with a person approving before anything posts.
In progressOn any morning search rankings drop, it points to exactly what needs fixing in the admin panel, right down to the page.
Used in-houseCatches misreads, restarted lines and missing rights credits automatically before the final video export.
Used in-houseAlways cross-checks every number against its source, and blocks approval if anything doesn't match.
Used in-houseChecks every outsourced screen against the design by capturing and comparing them one by one.
Used in-houseLays out every existing screen to find dead ends and pages with no way in.
Used in-houseAn AI acts as a fictional customer walking through the screens and reports confusing spots before launch.
Runs every dayBuilt a flow that approves identity documents only once every condition is met.
PrototypeAI handles the server upkeep, so job listings can be fixed with nothing but a LINE chat.
Runs every dayChecks the contract before every login and never lets anyone into an account outside it.
Used in-houseDeletions, external sends, billing and production changes never run without a human's approval.
Used in-houseShows only the count and location of keys and tokens, never a single character of the actual value.
Used in-houseCatches secrets and personal data at several checkpoints — before sending and at the end of every task.
Used in-houseSpots anything that looks like a key before it's committed and blocks the commit outright.
Used in-houseAI never deletes during clean-up — it quarantines with a log and provides the steps to restore.
Runs every dayBacks up every AI bot's configuration automatically each week, so a break can be undone right away.
Used in-houseKeeps one master set of rules, so every AI tool we use runs by the same standard.
Used in-houseNever takes an AI's "done" at face value — a separate AI checks the work and logs it.
Used in-houseAlways makes the AI search for existing work before building anything, so no past effort goes to waste.
Used in-houseTurns kickoff, progress, handoff and completion into set procedures, so any task can resume mid-way.
Used in-houseLogs every piece of feedback received and re-reads it before each task to stop repeat mistakes.
Used in-houseSeparate AI reviewers check tone, depth and whether it reads as AI-written, one stage at a time.
Runs every dayReviews AI bot activity by reading logs alone, flagging wasted runs and gaps in a summary.
Runs every dayTakes every request at one window and routes it to the right AI, so no one has to guess who to ask.
Used in-housePushes the leadership-approved AI configuration to every employee's PC in a single action.
Used in-houseA complete in-house training package built for people who aren't engineers, slides and script included.
Used in-houseSearches every in-house AI procedure and tool in plain language and launches it in one click.
PrototypeThe CEO just sends a LINE message, AI returns the finished work, and a confirmation closes it out.
PrototypeExposes our own data through an endpoint that Claude or GPT can query directly.
Runs every dayA site that shows a construction firm's track record and pricing approach, and turns visitors into inquiries.
Runs every dayAn AI that has learned every page's content answers questions around the clock, then guides visitors to the contact form.
Principles
We first check whether the work is really needed, and start by stopping or reducing it.
We check whether your existing tools can do the job, and build only what's missing.
Every daily system ships with monitoring that flags outages and anomalies.
I hand it over so your people can keep it running and fix it themselves, without me.
Deletions, external sends, billing and production changes never run without sign-off.
Customer and applicant names and contact details are kept out of the AI's reach by design.
We agree on what success looks like together first, then verify with real numbers and output.
If adopting AI has become the goal itself, I'll honestly recommend against it.
Services


3 months minimum
¥50,000/month
Best for
Setting direction while resolving doubts as they come up
What you get
20 hours a month
¥300,000/month
Best for
Building an AI agent that moves operating profit, embedded inside your company
What you get
Corporate contract
Custom quote
Best for
Outsourcing healthcare, elderly-care or welfare recruiting to the company
What you get
Companies in any industry where the leaders still do hands-on work themselves. No in-house engineers needed.
If adopting AI is the goal in itself, or you want to remove human judgment entirely, I'm not the right person.
How we start

Use the form below to tell me what's stuck, exactly as it is.

I'll hear about your situation and point out, on the spot, where AI is likely to pay off. Free of charge.

I'll send the approach, timeline and a quote. If it's not a fit, we can stop here.

We split what your people do today into fixed steps and human judgment calls.

Fixed steps go to AI, judgment stays with people, and I hand it over so your team can run it.
FAQ

The first 30-minute call is free. Monthly advisory is ¥50,000/month, and FDE (building AI agents) is ¥300,000/month for 20 hours.
No. Send what's stuck exactly as it is — it doesn't need to be polished.
Monthly advisory means one meeting a month plus chat in between. For FDE, the person who knows the work best joins the first mapping session.
We start with the tools you already have. Anything new is priced and agreed before we buy it.
My main role is as an executive at CyXen, so I take on a limited number of clients at once. I reply within three business days.
Every three months, we decide together whether to continue. No continuing for its own sake.
Not at all — I'm not an engineer either. We start with the tools and people you already have.
Yes, any industry — mainly companies under ¥1 billion in revenue. Recruiting support and management consulting for healthcare, elderly-care and welfare providers are handled by CyXen Inc.
Yes — even just the free 30-minute call is fine.
Happy to sign an NDA before we talk details, if needed. Calls are mostly online, with in-person meetings available when needed.
Writing
Story
Sold image sensors to manufacturers in the Imaging Systems division. Left after about a year.
Tried sales outsourcing and job-hunting support, failing repeatedly while learning the craft of sales and business development.
Ran sales and sales planning at FLIGHTS Inc. until the company grew to about 50 people.
Selected through an open CEO search to found and run it, raising capital along the way. Wound down when the timing didn't work.
As founding division head at For A-career Inc., grew cumulative client facilities to over 3,000 in five years, then spun the business off.
Through no-code development and business development consulting, generated about ¥130 million in revenue in its first year.
Under Bluepass Capital's fund, I'm driving PMI (post-merger integration) while turning our work into systems that run on AI. This is where it really starts.
Get in touch
I'll read it and reply within three business days with times for a 30-minute call. No sales pitches, please.