Services

Global B2B marketing support that reduces outsourcing dependency with AI, CRM, and BI

From assessment through design, build, automation, and improvement. Hands-on support for turning outsourcing spend into knowledge, data, and operating assets that stay with you.
Engage by action

Start from what you want to do:
find the right support for your problem

Start from what you want to solve.

Audit

We put outsourcing spend, AI headroom, and governance risk into numbers. Where the current spend can come down, which work AI should apply to, and what risks are sitting inside the company.
AI・CRM・BIを活用した海外B2Bマーケティング内製化支援の5フェーズ

Design

We define the target market, the competitive edge, the message, the KPIs, and the execution roadmap. Before choosing tools, it is clear who you address, what you say, and which measures show results.

Build

We build the Webflow, HubSpot, English content, LinkedIn, and white paper paths in a form your own team can run. Not handed over and finished, but handed over with updating, improvement, and the link to sales in view.

Automate

We automate competitor monitoring, content distribution, social posting, monthly reporting, and first response to leads with AI workflows, so people can concentrate on judgment and improvement.

Optimize

Working from GA4, HubSpot, and Looker/BI data, we keep improving content, social, email, CRM, and sales activity. The monthly Analytics Report puts what to change next in front of management.
Transparent Investment ── Package 1-1 / Audit

AI in-house readiness and P&L review: put outsourcing spend and AI headroom into numbers

Turn “the outsourcing bill feels high” into “here is what to bring in-house, and here is how much room there is”. In two to three weeks we surface current outsourcing spend, production work, AI headroom, CRM and content operations, and governance risk. Not only cost reduction, but which work should come back in-house and which data to watch in order to improve.
Scrutinise the outsourcing spend
We break the current spend down line by line and identify what can move in-house or be automated. Decisions get made on the P&L and on the work itself, not on a feeling.
Identify where AI fits
We put the work where AI pays off — English content, competitor research, reporting, CRM operations — into priority order, and translate it into a roadmap starting with the best return.
Assess governance risk
We check how customer data, confidential information, AI output, approval flows, and BI-linked data are handled. That sets the conditions for using AI safely and building improvement data in-house.
AI in-house readiness & P&L review
See where you stand, in numbers
Duration: 2–3 weeks
From ¥300k
Includes:
Outsourcing spend P&L analysis report
In-house roadmap
AI opportunity map
Three-year ROI model
Governance risk assessment
Quick review of current data and CRM use
The next diagnosis

Not only the finances: assess the AI governance risk too

The P&L review surfaces the numbers. The governance review surfaces the risk. You need both before moving in-house.
Customer data, copyright, staff use of AI —— leave these undesigned and they become an expensive problem later.
• May customer data go into AI? • Who owns the copyright in AI output? • Who is responsible if staff use AI without approval? • Design aligned with METI, OWASP, and NIST
Transparent Investment ── Package 1-2 / Audit

AI security and governance review: set up risk management before adopting generative AI

Your staff have started using AI. Are there rules for customer data, generated output, approval flows, and operating logs? Before AI goes into your operations, we lay out the risks around data leakage, copyright, hallucination, approval responsibility, and data integration. Referencing METI and MIC guidance, the OWASP LLM Top 10, and the NIST Generative AI Profile, we design AI usage rules and an operating structure that fit how you actually work.
AI risk assessment
We assess the risk of data leakage, copyright infringement, misinformation, and brand damage, workflow by workflow. Risks and responses are laid out so legal, IT, and management can decide.
Governance policy design
We design internal AI usage guidelines, human approval before publishing, controls on what customer data may be entered, and the operating rules for generation, review, and approval logs.
Check alignment with the standards
We check the gaps against the Japan METI/MIC AI Guidelines, the OWASP LLM Top 10, and the NIST Generative AI Profile, and set out how to close them.
AI security and
governance review
Build a structure for using AI safely
Duration: 3–5 weeks
From ¥500k
Includes:
AI risk assessment report
Incident response flow
Internal AI governance policy
Briefing material for the board
AI usage guidelines (for staff)
Standards alignment report
From diagnosis to design

After the audit, design: define the strategy, the KPIs, and the roadmap

Once the P&L and the governance picture are visible, we design what to build and in what order.
The audit findings become the premise for the design, so there is no wasted rework.
• Priorities set from the audit findings • Definition of the target market • Putting the competitive edge into words • A 12-month roadmap
Transparent Investment ── Package 2 / Design

Strategy design and roadmap: from market definition to a 12-month plan

Before choosing tools, define who you address, what you tell them, and which measures you improve against. Global B2B marketing does not work by adding a website or an AI tool. Target market, competitive edge, message, content strategy, CRM paths, and KPI design come together in one blueprint, which becomes the basis for building and improving.
Target market definition
In two to three weeks we surface current outsourcing spend, production work, AI headroom, CRM and content operations, and governance risk. Not only cost reduction, but which work should come back in-house and which data to watch in order to improve.
Putting your edge into words
Working from a comparison with ten competitors, we make explicit the value only you can claim. That message becomes the basis for the website, articles, social, sales decks, and email copy.
KPIs and improvement roadmap
We define the 12-month order of execution and the KPIs to watch in GA4, Search Console, HubSpot, and Looker/BI. Not built and finished, but designed so it can be improved after launch.
Strategy design
Draw the blueprint before building
Duration: 4–6 weeks
From ¥1.5M
Includes:
Target market definition
Annual global roadmap
Competitive advantage map
Content strategy document
Messaging framework
KPI design and tracking plan
From design to build

After design, build: a base your own team can run

Working from the strategy deliverables, we build web, content, CRM, and automation.
Because what to build is already settled, the build takes the shortest route.
• Site build in Webflow • Initial English content production • HubSpot and LinkedIn setup • Skill transfer to your team
Transparent Investment ── Package 3 / Build

Web, CRM, and content build: put the marketing base inside your company

Turn the blueprint into a growth base your team can run. We build the Webflow, HubSpot, English content, LinkedIn, and white paper paths in a form your own team can operate. Not handed over and finished, but handed over with updating, improvement, and the link to sales in view.
Web infrastructure build
We build the B2B site for global markets in Webflow, with a CMS design that lets your team add articles, case studies, and white papers. Set up for SEO and AI search, ready to keep growing the content.
CRM and lead capture path
We set up HubSpot, forms, document downloads, email sequences, and lead management. From the first enquiry through to sales follow-up, marketing and sales are connected.
Skill transfer
We provide operating manuals, a prompt library, update procedures, and the content production flow. The aim is a state where you update and improve in-house without depending on us.
Build
Handed over ready for your team to run
Duration: 2–4 months
From ¥3M
Includes:
Webflow site build and handover
GA4 / Search Console basic setup
Initial English content production (20+ pieces)
HubSpot forms and download paths
LinkedIn company page optimisation
Content operations manual
From build to autonomy

After build, automation: put AI agents into the work

Once the website, CRM, and content operations run in-house, the repetitive work goes to AI.
Placing AI agents on top of the infrastructure you have built frees your team's time for strategy.
• Automated content distribution • Automated competitor monitoring • Automated monthly reporting • AI for first response to leads
Transparent Investment ── Package 4 / Automate

AI agent automation: automate competitor monitoring, distribution, and lead handling

Automate / AI agent operations with human approval built in. Combining n8n, Google Apps Script, the Claude API, and HubSpot, we automate competitor monitoring, content distribution, social posting, monthly reporting, and first response to leads. Before anything is published, sent, or acted on by sales, a human approval step sits in the path, so the operation stays safe.
Content distribution workflow
We build a workflow where AI generates article outlines, social posts, email copy, and image ideas, and distribution happens after review and approval. Not left to AI, but an operation with human judgment built in.
Competitor and market monitoring
We collect competitor sites, industry news, and search trends on a schedule, and organise them into weekly and monthly reports, ready to feed the next content theme or sales message.
Automated lead handling
We classify leads from enquiry content, form answers, document downloads, and email response. Leads more likely to turn into a meeting come first, and the next action for the salesperson is made visible.
Automate
Keep the repetitive work running
Duration: 1–3 months
From ¥2M
Includes:
Automated content distribution workflow
Automated lead handling
Automated competitor monitoring
Workflow design document and operating manual
Automated monthly reporting
Pre-send checks for social and email
Autonomy is not the end

After self-sufficiency, ongoing improvement: an external CMO and CAIO alongside you each month

By the time the build and the automation are done, your team can run it. Ending the relationship here is perfectly fine.
• Monthly strategy review (4 hours) • Evaluation and adoption of new AI tools • Involvement as an external CMO and CAIO • No lock-in (monthly renewal)
Transparent Investment ── Package 5 / Optimize

Ongoing improvement and external CMO/CAIO: monthly reviews that keep you self-sufficient

Decide each month what to improve next, from GA4, Search Console, HubSpot, and Looker/BI. Growth does not stop when the build and the automation are done. Each month we review the data from articles, social, email, white papers, CRM, and sales activity, and lay out which content, paths, messages, and sales actions to improve next. As an external CMO and CAIO, we keep supporting decisions grounded in the numbers.
Monthly Analytics Report
We organise the data from GA4, Search Console, HubSpot, social, and email into a monthly report. Not page views, but the measures that lead to enquiries, downloads, and meetings.
Growth Review
In the monthly review we look at which articles grew, which need work, which social posts drew response, lead quality, and where the handoff to sales is stuck. What to produce and what to improve next month becomes clear.
External CMO / CAIO Advisory
We support AI tool evaluation, team development, reports for the board, and revisiting the marketing plan. You get an external CMO and CAIO perspective every month without hiring a full-time lead.
Ongoing improvement
An external CMO and CAIO, month by month
Term: monthly renewal
From ¥300k / month
Includes:
Content ROI analysis
AI tool evaluation and adoption support
KPI monitoring and improvement proposals
Reports for the board
Editorial calendar for the next month
Ongoing consultation over Slack
Time to compare
Compare the six packages.
We have introduced six packages so far. Here they are side by side in one table.
If you are unsure, we recommend the P&L review (Package 1-1). From the findings we will tell you honestly what the best next step is.
• Compared by duration (2 weeks to ongoing) • Compared by fee (from ¥300k / monthly) • Compared by the situation each suits • Examples of combinations
Compare & Decide

Compare the six packages:
choose by problem, duration, and investment

Choose the entry point that fits the depth of the problem, the timeframe, and the investment. If you are unsure, we design the scope together in a first conversation, free of charge.
Package
Duration
Investment
Main problem it addresses
Package 1-1: AI in-house readiness & P&L review
2–3 weeks
From ¥300k
Making outsourcing spend and AI headroom visible
Package 1-2: AI security & governance review
3–5 weeks
From ¥500k
AI risk and governance groundwork
Package 2: Strategy design / blueprint and roadmap
4–6 weeks
From ¥1.5M
Global B2B strategy and KPI design
Package 3: Build / web, CRM, and content
2–4 months
From ¥3M
Building the web, CRM, and content base
Package 4: Automate / AI agent operations
1–3 months
From ¥2M
AI automation of repetitive work
Package 5: Ongoing improvement / external CMO and CAIO
Monthly
From ¥300k / month
Ongoing improvement through analytics and BI

Frequently asked questions about in-house AI and global B2B marketing support

The questions we are asked most often about bringing global B2B marketing in-house with AI, CRM, and BI. If your question is not answered here, a 30-minute consultation will cover your situation and we will tell you plainly where to start.

Q1. Which package should we start with?

If you are unsure, we recommend starting with Package 1-1: AI in-house readiness and P&L review. Once we have looked at current outsourcing spend, AI headroom, web, CRM and content operations, and governance risk, we set out which package should come next. If you already have a strategy or a web base, you can start at Package 2, 3, 4, or 5. In the first conversation we will propose the entry point that wastes none of your time.

Q6. Are AI-generated articles and social posts published as they are?

No. Publishing AI-generated content automatically is not the assumption. Articles, social posts, email copy, images, and reports go through a flow where a person reviews and approves them before publication. AI is used for drafting, analysis, structuring, and improvement ideas; the final call stays with a person.

Q2. Does it work for marketing in the Japanese market as well as global?

Yes. The main focus is global B2B marketing, but the structure of website, CRM, content operations, AI automation, and analytics applies to domestic B2B marketing too. We start from the global work, where outsourcing dependency tends to build up, and support integration with your domestic marketing base as needed.

Q7. Do you cover data analysis in GA4 and HubSpot?

Yes. This service is not about building and finishing; it is about analysing and improving. We review GA4, Search Console, HubSpot, social, and email data, and make visible which articles, which social posts, and which white papers lead to enquiries and meetings. In Package 5, Optimization, the monthly Analytics Report and Growth Review set out which content, paths, emails, and sales actions to improve next.

Q3. Can we proceed with no marketing person in-house?

Yes. Starting with nobody dedicated in-house is a case we plan for. In Package 3, Build, we put Webflow, HubSpot, content operations, social, prompts, and operating manuals in place so your own team can update and review. Where useful, we also develop your people and provide monthly support as an external CMO or CAIO.

Q8. Why is the price range so wide?

Because the volume of work changes a great deal with company size, target markets, the state of the existing site and CRM, how much content is needed, the scope of automation, and governance requirements. Start with a free consultation or Package 1-1, see where you stand, and once the necessary scope is clear we give you an accurate quote. We do not widen the scope beyond what is needed.

Q4. What kind of work can be brought in-house?

Mainly English content production, competitor research, SEO articles, LinkedIn posts, white papers, email copy, monthly reporting, and first response to leads. The goal is not to take on everything internally. We separate the work better left outside from the work whose knowledge should stay with you, and use AI, CRM, and BI so a small team can keep it running.

Q9. Can we combine several packages?

Yes. In most cases the work moves through the stages below. Package 1: Audit → Package 2: Strategy design → Package 3: Build → Package 4: Automate → Package 5: Ongoing improvement There is no need to do all of it at once. You can take only the packages that fit your situation.

Q5. Which tools do you use?

Mainly Webflow, HubSpot, ChatGPT, Claude, Gemini, n8n, Google Apps Script, GA4, Search Console, and Looker Studio. That said, we do not start from the tools. We select only what is needed, based on your existing environment, budget, internal setup, and security requirements. If you already use WordPress, Salesforce, Google Workspace, or Microsoft 365, that works too.

Q10. Can we keep using what was built after the engagement ends?

Yes. Webflow, HubSpot, content, prompts, workflows, manuals, and report designs are handed over as your assets as a rule. Our purpose is not to create dependency. Everything is designed so you can run and improve it in-house after the engagement ends. Only if you want it does monthly support continue under Package 5.
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