Process diagnosis · automation build · handover
With the automation know-how we've built, we diagnose your current state and manage the whole process — build, onboarding, stabilization and maintenance.
Inquiries that used to arrive separately from Facebook, TikTok, Karrot, the website and landing pages now collect themselves into a single sheet. We kept extending it over two years as new channels and ad accounts were added.
When someone submits an inquiry through a social ad, a message matched to what they wrote goes out immediately — closing the gap before a staff member gets to it.
Rather than just storing inquiries, it sends actual closed deals back to the ad platform. Ads now optimize against real outcomes instead of raw inquiry counts.
Social ad inquiries, form submissions and incoming email all act as triggers that send a KakaoTalk alert to on-site staff. We widened it step by step as new intake routes appeared.
We automated ad copywriting, social media operations and performance analysis together, and built an AI assistant that answers questions about cash position. This one targeted a whole team's work, not a single task.
Customer support questions that were answered the same way every time now reach a bot first. We built one for each of two support channels with different needs.
Everything that needs attention during a campaign arrives as an alert, so staff don't miss things without keeping several tabs open.
The handwritten booking ledger became a management view that fills itself in.
Member details go in and an introduction video comes out, removing the burden of producing each one by hand.
Student, course and schedule information that lived across many files was consolidated into a single system.
We set up the customer management system, then added event announcements, document delivery, survey follow-up texts and venue management before taking on operations as well. What changed hands was a way of working, not a single tool.
Received mail is stored automatically, and scoring results are turned into accuracy rates and written back to the sheet.
After automating inquiry collection and content production, we went on to run hands-on classes and AI training at the same institution — so they could keep building it themselves.
Folders are created and sorted automatically per student and per class. Time spent hunting for files disappeared.
A tally counted by hand every single day now happens on its own. Small in scope, but it removed something that recurred daily.
When an application comes in, the person responsible is notified right away. This is the form of automation people most often start with.
We rebuilt the collaboration tool they already used into an operations management view. Nothing new had to be adopted.
Automation and practical AI use, taught to an organization whose own business is education.
Product code generation, automatic order sheets, and splitting orders by color option — the work behind the storefront was automated in stages across two years.
Order and inventory data from the storefront management platform flows into their workspace tool, so a one-person operation sees everything on one screen.
The messenger customers use most became the support channel, handling inquiries and guidance automatically.
In-house automation training delivered to staff across a large retail organization.
Deposits are reconciled and confirmed, and training certificates are issued automatically. Two manual jobs — settlement and paperwork — went away together.
Member data is aggregated weekly and turned into a finished report.
Inquiries from advertising are stored automatically so nothing leaks during the handoff to in-clinic consultation.
The repeated notices that go out to members became automatic dispatches.
Notification texts were wired to the payment system so the right message goes out according to where the payment stands.
Bank application forms are produced automatically in the required format. The typos that come from copying by hand are gone.
Documents clients send in are received automatically, sorted by type, and reviewed for anything missing — the last stage of automation built up over a year and a half.
Account metrics are gathered and turned into a performance report in the established format.
Entering the same schedule twice is over. What goes in the sheet appears on the calendar.
Requests exchanged in the messenger are logged to a sheet automatically, so the conversation and the record no longer drift apart.
Donation and participation sign-ups are collected and organized automatically, so responses don't fall behind in an organization without spare staff.
Announcements spread across many sites are collected automatically into one place — work where a missed deadline is a direct loss.
Replies to guest inquiries are handled automatically, so the host no longer has to stay on call all day.
We built the logic that matches those looking with those offering, according to their conditions.
Rental requests, schedule management and customer guidance — handled separately before — were tied into a single flow.
AI training run as a challenge for a large organization, applying each lesson to real work immediately.
Automation consulting and training delivered to companies across the exhibition industry.
Practical training on where AI fits into event and exhibition work.
Instead of building it for them, we taught them how. The alerts they need since then, they build themselves.
A one-to-one course that started with no-code automation basics and worked up through sign-up and payment integration.
Meetings held in English are transcribed automatically and organized into minutes.
AS-IS
TO-BE
Every DX·AX project starts with interviews on both sides — the people doing the work and management.
Repetition frequency
Work that comes back in the same shape every day or week goes first — that's where the hours are.
Rules you can write down
We check whether the judgment living in someone's head can be put on paper. If it can't be written, it can't be automated.
Existing records
We look for where the trail already exists — chat, spreadsheets, the systems you run. If there is none, creating one comes first.
Cost of a mistake
Where failure is expensive, we keep a human checkpoint instead of handing the decision over.
The method matters more than the tool. We map your company's context and digitize the highest-priority work first.
Process automation
Repetitive entry, sorting and hand-offs are handled by the system. People spend their time on checks and decisions.
AI agents
Agents grounded in your documents and data answer questions and carry out defined procedures on their own.
Integration with what you run
We connect the ERP, CRM and groupware already in use, starting by removing the copy-paste between them.
Operations dashboard
One screen for what was processed, how much, and where it stalled — so the effect is visible as a number.
Based on the average duration of the DX·AX projects we've delivered.
Problem-definition interviews
Interviews with staff and management map the workflow and priorities.
Prototype
A working screen comes first, to align on direction.
Field deployment
It goes into the real work, used by the people who do it.
Feedback · improvement
Feedback from real use ships as an improved version.
Stable operations
Through onboarding, we tune it together until the team is at home with it.
Upgrade roadmap
Operating data sets the direction for what to expand next.
Problem-definition interviews
Interviews with staff and management map the workflow and priorities.
Prototype
A working screen comes first, to align on direction.
Field deployment
It goes into the real work, used by the people who do it.
Feedback · improvement
Feedback from real use ships as an improved version.
Stable operations
Through onboarding, we tune it together until the team is at home with it.
Upgrade roadmap
Operating data sets the direction for what to expand next.
Measured results from projects IMPAKERS delivered.
Hospital CS automation
Hospital & brand marketing teams
60%
faster response time
80%
fewer missed inquiries
Influencer sourcing management
Marketing agency
70%
less sourcing admin time
75%
better communication efficiency
Academy operations
Academy owners & managers
50%
less administrative work
₩3M / month
operating cost saved
Every project ships with its own dashboard. You can see for yourself, in numbers, which work shrank and by how much — after go-live too.
See the portfolioIt depends on scope, but we aim to go from problem definition to a pilot that actually runs within weeks. Rather than building something large for months, we show you something working and then widen the scope.