Business × IT × AI

Through AI × IT, we
make business change a reality.

With IT consulting and AI products,
we transform your operations, services and business.

Consulting & Technology

  • IT Consulting
  • DX / Process Reform
  • AI Adoption
  • Salesforce
  • AWS
  • Heroku
  • Agile Development
  • API / Data Integration

Challenges

Does any of this
sound familiar?

Transformation rarely stalls because of the technology itself.
The real question is where, and how, inefficiency has crept into the business.
We start by making that one point clear.

Operations scattered across Excel and email

The same information is spread across multiple files, and no one is sure which version is current. Aggregating and re-entering it eats up hours of everyone’s time.

Requests and approvals take too long

Paper and stamps, or endless email chasing. Because the process isn’t visualized, no one can tell where a request has stalled.

Accumulated data isn’t being put to use

The data exists somewhere inside the company — but it can’t be found, connected, or turned into a decision. An asset that isn’t functioning as one.

Systems have become too complex

Years of ad-hoc additions have left integrations tangled and maintenance costs climbing. Before any new initiative can start, the existing mess has to be untangled first.

Ready to pursue DX, but unsure where to start

Leadership has expectations, and there’s no shortage of tool information — but without clarity on which part of the business to target, discussions stall.

Want to adopt AI, but unsure how to use it

There’s a sense that AI could help — but it’s hard to picture exactly where, or how much impact it would actually have.

If even one of these sounds familiar, it may not be a technology problem — it may be a process-design problem.

See our approach

Our Approach

We understand the challenge,
and build the future with you.

Building a system is never the goal in itself. We deeply understand the current state, design how operations should work, implement it with technology, and keep transforming — all four, carried out by one team, without a handoff gap.

  1. 01

    Understand

    Understand the present

    Workflows, where the data lives, what the frontline actually feels. Through interviews and process analysis, we map out the structure of the problem itself.

  2. 02

    Design

    Design the ideal

    We define what operations and services should look like — including what to stop, what to automate, and where people should focus.

  3. 03

    Build

    Build it

    Salesforce, AWS, cloud, AI — we choose the technology by working backward from the goal, and shape it quickly with agile delivery.

  4. 04

    Transform

    Keep transforming

    We don’t stop at launch. We keep improving based on usage and data, driving transformation of the business itself.

Not a relationship of handing over proposals —
but of sitting at the same table to think together.

From Understand to Transform, one team owns it all.

Services

From consultation to implementation, and beyond.

Consulting, development, AI — we don’t offer these as separate services. We deliver them as one continuous transformation process, so nothing is lost between proposal and implementation.

IT Consulting

Mapping the path to change, starting from the business challenge

Before deciding what to adopt, we define what actually needs to change. From process analysis to an execution plan, we design a path that both leadership and the frontline can get behind.

  • DX / Process Reform
  • IT Strategy
  • Business Analysis
  • System Rollout
  • Salesforce Consulting
  • AI Adoption Support

What it solves
Gives a stalled DX initiative a first step it can actually take

Technology

Turning the plan into a working system

We implement the designed operations as a system that actually runs — built cloud-first, balancing scalability with ease of operation.

  • System Development
  • Agile Development
  • AWS
  • Salesforce
  • Heroku / Cloud
  • API / Data Integration

What it solves
Unifies fragmented systems and data into a single operational platform

AI

Embedding AI into everyday operations

We don’t stop at a pilot. We identify exactly which process, in which workflow, AI will actually move the needle for — then connect it to existing systems and stay with you through to production.

  • AI Adoption Support
  • AI-Driven Operations
  • AI Agents
  • Process Automation
  • AI Products
  • Internal Data Utilization

What it solves
Turns judgment and work that depends on individuals into a repeatable system

Products

Changing how work gets done,
with AI and the cloud.

Our own products, born from real frontline problems. From day one, first-response, verification and record-keeping that used to require a person are replaced by a system.

Product 01 — AI

OmniDeskbot

Phone, email, LINE, Instagram, Amazon — every customer-facing channel unified into a single workspace, with AI handling everything from first response to record-keeping.

Problem
Every channel has its own tool and owner, so response history never gets consolidated. Calls get missed, and logging what happened eats up staff time.
Automate
First response and scripted conversation for inbound calls, drafting email/DM replies, post-call summaries and ticket creation, satisfaction surveys, and multilingual responses.
Impact
Operators can focus on the responses that truly need judgment, while knowledge accumulates into a self-learning RAG that improves every future response.
  • 40+Languages supported
  • 99%SLA uptime
  • As fast as 48hTo go live

Best fit forEC/retail businesses handling customer support across multiple channels, businesses that need multilingual support, and support teams that can’t scale by hiring alone

Visit product site
Product 02 — AWS

CC VirusScan

Triggered by every upload to your S3 bucket, it automatically scans for malware — a fully managed service that protects your critical data without adding to your operations team’s workload.

Problem
S3 buckets that receive files from outside the organization often have no protection in place. Building it in-house means an endless burden of OS updates, definition updates and incident response.
Automate
Detects uploads/updates and scans them, tags infected files, moves them to a quarantine bucket, and sends notifications via Slack, email or SNS.
Impact
Scanning completes entirely within your own AWS environment, so sensitive data never leaves it. Monthly audit reports are generated automatically as well.
  • As fast as 15 minFrom setup to protection
  • ZeroInfrastructure operations burden
  • No external transferStays inside your own environment

Best fit forCompanies accepting external file uploads via S3, organizations that can’t send data to external SaaS for compliance reasons, and IT departments managing multiple AWS accounts

Visit product site

Detection engine: ClamAV + YARA rules — one-click deployment via AWS Marketplace

Case Studies

Not what we implemented —
what actually changed.

What matters isn’t the name of the technology we chose. It’s how our clients’ operations changed, before and after. Here are three of those transformations.

Manufacturing — Unifying sales & customer data

SalesforceProcess AnalysisData Integration

Before

Customer data was scattered across each sales team’s own spreadsheets and personal inboxes. History was lost every time a rep changed, and leadership couldn’t see the full picture.

Transformation

We first visualized the sales process and redefined only the fields that were genuinely necessary. We then consolidated information around Salesforce and connected it to the core system via API — designed so it wouldn’t add to data-entry workload.

After

Customer data is now centralized, dramatically cutting handover costs when reps change. The data leadership needs is now ready the same day.

▲60%Time spent building reports
Same-dayVisibility into deal status

Services — Cloud migration & operational automation

AWSCloudAPI Integration

Before

On-premise maintenance consumed so much staff time that peak-season resources ran short, leaving no room to pursue new initiatives.

Transformation

Rather than treating migration as the goal, we analyzed operational peaks and data flow, designed a scalable AWS architecture, and automated monitoring and backups — redesigning operational procedures along the way.

After

Operations now run stably even during peak season, and operational workload has dropped. That freed-up time now goes into planning and improving new services.

▲40%Operational workload
99.9%Uptime

New business — Service validation through MVP development

Agile DevelopmentMVPUser Validation

Before

A new service concept existed, but requirements never solidified and internal discussion dragged on — time kept passing before it ever reached the market.

Transformation

We narrowed things down to a single hypothesis to test, and built an MVP users could actually try within as little as two months. After launch, we revisited priorities every sprint based on real usage data.

After

It surfaced real needs that desk-based discussion never would have revealed, sped up investment decisions, and avoided building features nobody needed.

2 monthsTo MVP release
2 weeksImprovement cycle

Why CoCreation

Why CoCreation Service.

We’re neither a pure consultancy nor a pure development shop. Being able to own everything — from defining the problem through implementation and the transformation that follows — with the same team, is where we stand.

01

Business×Technology

We start from the business challenge

We never lead with technology. We start from what the business is trying to achieve, and choose only the means it actually needs.

02

Consulting×Development

We stay accountable through implementation

We don’t stop at a proposal document. Because we implement the operations we design ourselves, we can only propose what’s actually achievable.

03

AI×Cloud

We solve by combining

AI, AWS, Salesforce — we never talk about any one in isolation. We design architectures that connect to existing assets and work for the business as a whole.

04

Agile

Small, fast, and always verified

We build a user-testable MVP in as little as two months. We surface the gap between assumption and reality early, minimizing rework. We build consensus around working software, not the polish of a spec document.

05

Co-Creation

Building the future as one team

Not a client-and-vendor relationship, but one team. Only by bringing together your deep understanding of your own business with our technology can something people actually use come into being. “Co-Creation” is in our name because it’s our premise, not just a method.

Development Process

Turning ideas into working software, fast.

Rather than spending months on a perfect spec, we’d rather build something that works and test it quickly. We believe that order is the more reliable one.

  1. 01

    Current-state analysis

    Understand how work flows and where the data lives

  2. 02

    Problem definition

    Narrow the problem down to one to solve

  3. 03

    Approach

    Design the hypothesis to test and how to build it

  4. 04

    MVP development

    Build something people can actually try, in as little as two months

  5. 05

    User validation

    Put it in front of real users and gather facts

  6. 06

    Improvement

    Revisit priorities and move to the next cycle

We repeat steps 04–06, growing the product each time

2months

A user-testable MVP, in as little as two months.

Before investing in a long-term development plan, we first confirm how the market and the frontline actually respond. Ship small and fast, learn, then commit to full investment once we have confidence. In the end, this approach is both the fastest and the least wasteful.

Recruit

The people who build it
are the company itself.

Technology×People×Challenge

Our work starts with understanding our clients’ problems.
That’s why we’re looking for people who love technology and genuinely care about the work of the people it serves.
From large-enterprise DX projects to launching our own AI products,
raise your hand and the opportunity is yours to run with.

AI & New Products

Planning and building our own AI products — you’re involved from deciding what to build.

Cloud / AWS

From cloud architecture to operational automation — own the design end to end.

Salesforce

From consulting through implementation — design grounded in real understanding of the business.

Agile Development

An MVP-driven team that runs short cycles of validation and improvement.

Take your business to its next stage.

Ready to build the future of your operations and services with AI × IT?

From early-stage discussions to re-evaluating an existing system — let’s start with a conversation.