01
Bring the information together
Collect requests and records from email, documents and systems, so staff can find the information they need in one place.
Knowledge from your work.
Value for your business.
We work across industries by getting close to your operations.
We connect your team's experience and decision rules to AI, so it can prepare the documents and next steps your business needs.
01 / How work changes
Use what your team knows.
Make the next task easier.
Company materials and decision rules help prepare documents and tasks for review. AI and connected systems handle document generation and data collection, while staff focus on agreeing conditions and making important decisions.
02Keep the knowledge in the business
Connect past outputs with company rules, preserving the references and reasoning that can be used again.
03Prepare outputs for the next step
Provide documents, editable files, changes and task lists that staff can review, revise and use with customers.
04Handle recurring tasks
Generate documents and collect and organize reservations through connected systems. Staff handle exceptions and approvals.
02 / Our work
See how the work comes together
Document preparation, reservation management and staff agents for a travel operator, plus unmanned facilities in Japan. Explore the actual systems and outputs.
Travel / Document workflows
From an email inquiryto an itinerary and quotation
Connect the customer's requirements with company materials to prepare itinerary and quotation drafts, with revisions kept under each trip
- BeforeCompare email
and source files - OutputsItinerary and quote
Editable files - Next stepReview the draft
Discuss conditions
Travel / Reservation operations
Bookings across sales channels.A clear list of what needs attention.
Bring reservation collection, change review and service arrangements into one operational view, instead of moving between separate sales channels
- BeforeCheck bookings
in each channel - OutputsUnified bookings
Action list - Next stepHandle changes
and missing details
Travel / Staff agent
Keep the way your team worksfor the next task
Using personal memory and saved working methods, the agent prepares tasks in the background. Staff review the trip briefing and next actions when they need them
- BeforeRepeat the same
work instructions - OutputsBriefing
Next actions - Next stepReview work
already prepared
Leisure / Japan
From reservations to lessons,one connected operation
We built and sold reservation, kiosk, membership and ERP systems for unmanned golf practice facilities in Japan. The facilities also provide AI swing analysis and lesson feedback
- On siteBooking and check-in
Facility use - OutputsKiosk
Operational ERP - Next stepUnmanned operation
AI lessons
03 / How we work
Make operational knowledge
useful again
We review the knowledge in documents, systems and staff experience together, connect it to company rules and apply it in daily work. What changes in practice guides the next step.
- Knowledge map and first workflowFind the knowledge
Identify the knowledge in documents, system records and staff experience. Review where people repeatedly look up or explain information, then choose the first workflow and the baseline to compare.
Workflow and knowledge map example - Connected materials, rules and sourcesConnect the knowledge
Organize company terms, relationships between materials and decision rules with their sources. Connect them for reuse in the workflow and agree who keeps the information current.
Operational knowledge structure example - Working interfaces and output documentsApply it to work
Build the interface and system connections for the first workflow. Staff review documents and action lists with representative data, then address missing conditions and exceptions.
Built interface · Itinerary and quotation - Validation record and operating planReview and extend
Compare the work against agreed measures such as processing time, rework, omissions and operating cost. Manage the records gathered during use and decide together whether to expand.
Operation and validation example
04 / Our team
Business and technology,
part of the same conversation
Minjae Park
CEO / Business planning and client collaboration
Understand the business. Lead the implementation.
Minjae studied business at Babson College and earned a master's degree in Information Management at KAIST, combining management and entrepreneurship with the business use of AI and data.
He worked in corporate planning and global business operations, then assessed business performance and growth opportunities as an investment professional.
At Roundin, he leads AI and software solution planning, project management and business operations. He works with clients to define the solution and guide its development and adoption.
Kyungmin Choi
CTO / AI product development and technical design
Build products from operational knowledge.
Kyungmin studied Industrial and Management Engineering at POSTECH and earned a master's degree in Management Engineering at KAIST. His academic research and work at Roundin have covered deep learning and AI agent products, connecting data to models and working services.
He led an internal team developing AI agents for a service targeting two million small business owners. He has also built B2B SaaS connecting bookings, inventory and back-office operations and launched services in Japan.
At Roundin, he designs the knowledge structures, AI agents and system connections behind the workflow. He implements the interfaces and outputs used by staff and brings field feedback into the product.
Contact us
Tell us about your team's work
We start by listening to the people who do the work