01
Repeated work
We define the classification, review, writing, or response work AI should reduce.
Scope
- Use case
- Success criteria
- Exception rules
AI implementation
AI solution developmentAI solution development
We build custom AI solutions around your work environment.
Best fit
Best fit
We implement AI features connected to real work, including repetitive task automation, document and data analysis, chatbots, and AI agents.
- You want to reduce repetitive work
- You need faster document or data review
- You want AI chatbots or agents connected to real operations
From Request to Scope
How an AI request becomes operating scope
We do not start from labels like chatbot, automation, or analysis. We define the repeated work AI should reduce, the input data, human review, and system handoff.
02
Input data
We check what quality documents, images, tables, records, or conversations need.
Scope
- Data sources
- Preprocessing rules
- Reference set
03
Review flow
We design where people inspect and correct AI results.
Scope
- Review UI
- Approval flow
- Error handling
04
Operating loop
We make failures, edits, and repeated questions return to the next improvement.
Scope
- Logs
- Monitoring
- Improvement backlog
How We Translate
AI Use Case Canvas
An AI solution should start with the repeated work it will reduce and the people who review the result. MARS AI uses the AI Use Case Canvas to bring input data, AI output, human review, system handoff, and operating rules into one buildable scope.
AI Use Case Canvas
Use Case Frame
- Work TargetWhich repeated work should shrink?
Choose the repeated classification, review, or drafting work that takes time today.
- Review OwnerWho reviews the result?
Decide who reviews, edits, and approves AI output before it is used.
- Result LandingWhere should the result land?
Define whether the result is saved, sent as a notice, reported, or moved to the next step.
AI Decision Flow
Corrections and exception cases
Input
What the system reads
- Documents
- Images
- Tables
- Records
- API
Prediction
What AI infers or drafts
- Classify
- Extract
- Summarize
- Generate
- Recommend
Judgment
How people review
- Review
- Edit
- Approve
- Handle exceptions
Action / Outcome
How it remains in work
- Save
- Notify
- Report
- Next step
Guardrails
Confidence · permissions · failure handling · reprocessing rules
Proof
Related products
Contact Us
Ready to AccelerateInnovation?
If you have project ideas or technical questions, feel free to contact us. The MARS AI team will propose the best solution.
- planit@marsai.app
- Phone
- +82 10-5602-4959
- Office
- 136, Sugiro, Gochon-eup, Gimpo-si, Gyeonggi-do, Korea