Document sorting time
OTOworks Engine
52 Hours of Work,
Down to Just of Work, Down to Just
1 Hour!
Describe the repetitive work,
and OTOworks Engine maps the data flow and execution steps into automation for you.Describe the repetitive work, and OTOworks Engine maps the data flow and execution steps into automation for you.
Repetitive work eliminated
Automation success cases
Need to launch automation quickly?
Show us the work you repeat most often, and we will design an automation flow that fits how your team already operates.
Start Free ConsultationEnterprise BuildNeed to connect knowledge and systems across teams?
We connect documents, messages, and operational data into one engine that powers cross-functional automation.
Explore EnterpriseReady β Capture β Inspect Three stages, every automation clue
We record the repetitive flow exactly as people run it and align it with the response structure behind the screen.
- READY
Start from a prepared capture state
The session opens in a clean state, ready to record. Pick a starting point and go.

- LIVE CAPTURE
Walk the page like a real user
Browser actions and network requests are recorded in lockstep, so the inputs and responses needed for automation come out as a single flow.

- INSPECT
Check responses and structure together
We compare network responses with the page structure to catch issues before the automation ships.

We Automate These Tasks
The clicks, lookups, and data entry you repeat every day? We turn those into systems that run on their own.
Complex Web Lookups
50 clicks down to 1 query. We automated welfare beneficiary checks that took 15 minutes per case to 10 seconds. The same approach works for purchase order processing from groupware (vendor lookups cut from 1 hour to 1 minute with multimodal AI) and government portal data pulls.
E-commerce Lowest Price Management
Checking competitor prices across multiple platforms, every day, for 200+ products. That used to take 10 hours. Now it runs on its own.
Complex Business Rules Automation
Discount rates, tariffs, price floors, candidate scoring rules. We turn these into code. One client's AI headhunter cut sourcing from 20 hours to 2 hours with automated candidate evaluation. Another client's document classifier hit 98% accuracy using a hybrid AI-plus-rules engine, sorting 12 hours of work in 7 minutes.
24/7 Automated Execution & Monitoring
Your system runs while you sleep. One monitoring setup tracks hundreds of sites with 0% message loss using Kafka-based queuing. Weekends, holidays, 3am, it does not stop. Every action is logged.
Real Client Case Studies
Actual automation projects we've shipped with clients

The documents existed. The answers still lived in people's heads.
The client is a mid-sized food manufacturing and distribution company with about 1,000 employees. Its workforce is split across office staff, factory workers, and foreign workers. Leave, allowances, expense handling, and onboarding rules vary by group. Some answers were available in ERP or groupware. Others lived in shared files, NAS folders, personal notes, or spreadsheets used only for foreign-worker guidance. Questions came through HR, general affairs, accounting, and site managers. To answer one question, an operator had to check recent support cases, the document used last time, the original policy, and often the memory of a long-tenured colleague. The same question could sound different depending on who picked it up. Even deciding whether a case needed outside labor counsel took time.

Plenty of tools, but content still never left human hands
Ad platforms, CRM, analytics, AI writing assistants. The marketing stack was full. The team still kept getting stuck in the same place: content. Topics got picked on gut feel. Writing standards drifted between people. Every platform needed manual reformatting. Adding draft automation didn't fix it. It just shifted the work. Someone still had to rewrite the AI output line by line, and the automation that was supposed to save time quietly created a new review workload.

Phone-only consultations, case management by memory alone
After leaving a law firm to open a solo practice, the lawyer ran into a different kind of problem. Handling cases well and bringing cases in were not the same thing at all. Consultation requests came only by phone, and the history was scattered across notepads and memory. Miss one call, lose a potential client. From the client's side, calling a lawyer in the first place felt like a hurdle. And not every consultation turned into a case. Simple questions were taking up the same time as serious matters, which left less room for the work that really mattered.
Three steps, built with you
We start at your workplace and ship it together
Task Analysis
Our team visits your workplace directly. Using our analysis workflow, we observe the real operation and uncover the hidden rules and exception paths behind it.
Process Design
You know the domain. We know automation. Together at the whiteboard, we map out your business logic and work through technical constraints one by one.
Execute, Monitor, Improve
Launch is not the end. We monitor around-the-clock operation and keep improving as your needs change.
What We've Actually Delivered
Real numbers from real clients
Automation has a new direction
OTOworks' Vision
Half of traditional RPA projects never hit their ROI targets (Gartner). Top-down was the problem. AI flipped it. Start from the one task that's killing your team, and see returns in weeks.
Bottom-up Automation
Not big systems. The one task frustrating you most, automated first. Then we expand upward from there.
Multimodal AI
Reads images, classifies documents, learns your judgment calls. Months of development, shipped in weeks.
Any Scale
One instructor's exam downloads to 100+ site monitoring for a global platform. Small or large, we build it.
Frequently Asked Questions
Learn more about business automation
Are OTObot and OTOworks Engine the same thing?
They point to the same engine, but at different scopes. OTOworks Engine is the custom automation engine we built in-house, and OTObot is the lighter configuration carved out of it for SMB teams that need practical workflow automation without the full knowledge stack. Most small and mid-sized teams don't need enterprise-wide knowledge automation, so OTObot alone is usually enough. For enterprise environments that have to weave documents, policies, and operational data into one system, we build out the full OTOworks Engine including RAG, GraphRAG, and a domain ontology. The engine is designed to scope up or down depending on the situation.
How long does it take to implement automation?
It depends on the project scope, but typically it takes 1-2 weeks for analysis, 2-4 weeks for development and testing, so about 3-6 weeks total for the first automation to go live. Simple repetitive tasks can be automated within 1-2 weeks.
What types of tasks can be automated?
Most rule-based repetitive tasks can be automated: web operations (data collection, form filling), Excel and document processing, data integration between systems, email and notification sending, and automated report generation. We also handle extracting data from image-based documents (purchase orders), KakaoTalk-based internal chatbots (AI chatbot), and AI-powered candidate evaluation (AI headhunter).
How is the cost determined?
Pricing varies based on task complexity, number of integrated systems, and data processing volume. We break projects into blocks that deliver immediate efficiency gains, so small and mid-sized businesses can start without a heavy commitment. Most projects fall in the $7,000β$70,000 range. We provide a customized quote after analyzing your workflow through a free consultation.
Is it limited to specific industries?
Not at all. We have applied automation across e-commerce, welfare, education, logistics, finance, manufacturing, legal services, HR tech, reselling communities, and more. If you have repetitive tasks, automation can be implemented regardless of your industry.
Can it integrate with existing systems?
Yes. We can integrate with most systems including ERP, CRM, groupware, web-based systems, and API-enabled services. Even legacy systems without APIs can be integrated through screen automation.
How is data security ensured?
All automation systems operate within the client's infrastructure, and no data is transmitted to external servers. We comply with security standards including access control, activity logging, and encrypted communications.
What does the process look like once we start?
We start by sitting in on your actual operations to find where repetition happens. We map the process out as a flowchart, identify root causes, and figure out what to optimize. From there, we pull together the necessary data, build it into code, and apply it to part of the target workflow first. Rather than flipping everything at once, we validate through QA and expand gradually. After a final review, the system is fully handed off and internalized in your team.
Can I request automation for something simple?
Absolutely. An instructor asked us to automate downloading exam papers from a government education site. What took 30 minutes now takes 1 minute, and their colleagues started using it too. If it's repetitive, it's worth automating, no matter the scale.
We don't have IT experience. Is that OK?
No problem. We worked with a cosmetics e-commerce owner who had zero IT project experience. We visit your workspace, observe the actual tasks, and handle all the technical work. You just show us what you do every day.
Engineering Notes
Tech Blog
Engineering posts and talks our team has published on external venues
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Agents differ in structure, not the model. From the leaked Claude Code internals: 42 tools across 5 permission tiers and an MCP/Statsig/Sentry observability layer.
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"The harness, not the model, decides." How opencode + OMO, proven across 30 days and 2.47B cached tokens, lifted long coding tasks to completion.
That Daily Task You Keep Repeating? We Can Automate It.
"Our work is too complex to automate." Every client we work with said the same thing. Then we sat down and looked at the actual workflow.
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