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.
Business × IT × AI
With IT consulting and AI products,
we transform your operations, services and business.
Consulting & Technology
Challenges
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.
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.
Paper and stamps, or endless email chasing. Because the process isn’t visualized, no one can tell where a request has stalled.
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.
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.
Leadership has expectations, and there’s no shortage of tool information — but without clarity on which part of the business to target, discussions stall.
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 approachOur Approach
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.
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.
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.
Build
Build it
Salesforce, AWS, cloud, AI — we choose the technology by working backward from the goal, and shape it quickly with agile delivery.
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.
Services
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
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.
What it solves
— Gives a stalled DX initiative a first step it can actually take

Technology
We implement the designed operations as a system that actually runs — built cloud-first, balancing scalability with ease of operation.
What it solves
— Unifies fragmented systems and data into a single operational platform

AI
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.
What it solves
— Turns judgment and work that depends on individuals into a repeatable system
Products
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.
Phone, email, LINE, Instagram, Amazon — every customer-facing channel unified into a single workspace, with AI handling everything from first response to record-keeping.
Best fit for — EC/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 siteTriggered 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.
Best fit for — Companies 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 siteDetection engine: ClamAV + YARA rules — one-click deployment via AWS Marketplace
Case Studies
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.

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.

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.

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.

Why CoCreation
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
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
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
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
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
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
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.
Current-state analysis
Understand how work flows and where the data lives
Problem definition
Narrow the problem down to one to solve
Approach
Design the hypothesis to test and how to build it
MVP development
Build something people can actually try, in as little as two months
User validation
Put it in front of real users and gather facts
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
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.

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