Only tools increase
I've used several AI services, but they don't connect to the actual work order, so I have to go back to manual work.
Busan/Gyeongnam AI business automation consulting
Automate routine work. Stay in control.
Securely connects AI to repetitive inquiries, document classification and summary, in-house data search, and data entry tasks. We verify effectiveness with real data and design human confirmation points and operating standards.
- Work/data diagnosis
- AI prototype/effect verification
- Human review/permission design
- Standard for connecting and operating existing tools
If this problem repeats
Before tools,
We need to look at the blocked flow first.
Accuracy anxiety
It is difficult to use for important work because there is no basis or review standard to confirm whether the results are correct.
Data scattered
We have a lot of documentation and consultation records, but it takes time to find and reuse what we need.
Absence of security standards
There are no standards for what information can be entered or who will see and execute the results.
Changes made by RIS
Than the result
Structure that makes the next decision easier
Tasks to be automated become clearer
Divide what AI is good at and what humans need to continue to judge into actual work units.
Compare effects numerically
Verify the value of adoption by comparing processing time, accuracy and correction amount with existing methods.
Operation becomes controllable
Create authority, rationale, review and exception handling standards so staff can check and improve results.
Progress
From consultation to actual operation,
Proceed with verifiable steps
- STEP 01
Work/time diagnosis
Check input, throughput, time spent and cost of errors for repetitive tasks.
- Step result
- Task list · Priority
- STEP 02
Data/risk check
Determines usage data, permissions and sensitive information, and points for human verification.
- Step result
- Data status and safety standards
- STEP 03
AI flow design
Design ways to connect models, searches, rules and existing tools.
- Step result
- AI workflow · Verification criteria
- STEP 04
Prototype and effect verification
Compare accuracy, time savings and correction amount with some real data.
- Step result
- Operational prototype · Effect analysis
- STEP 05
Operation connection/expansion
Apply permissions, records, and monitoring and expand from the verified scope.
- Step result
- Operation Automation · Expansion Plan
Scope of provision
Included routine
Divide things to be discussed separately first.
After consultation, the actual scope, schedule, and estimate are confirmed according to the current status and goals.
Included in default scope
- Repetitive work/time cost analysis
- Data·security·permissions check
- AI search, classification, summary, draft
- Prototype for verification
- Integration with existing system and messenger
- Review, record, and monitor standards
Excluded or discussed separately
- 100% accuracy and performance guaranteed
- Collection of unauthorized external data
- High-risk automated decision-making without human review
- AI model/external service usage fee
Fitness to proceed
Is this a project that fits well with RIS?
Check before consultation
suitable for these cases
- Organizations that spend a lot of time drafting repeated inquiries and answers
- Team that classifies and summarizes contracts, reports, and consultation records
- Companies that want to quickly find evidence in internal documents and regulations
- Organizations looking to determine real-world effects and risks on a small scale before adopting AI
In this case, it is difficult to proceed
- A task that cannot allow any possibility of error and cannot be confirmed by a human.
- Data whose source and usage rights cannot be confirmed
- When AI introduction itself is the goal and tasks to be improved are not defined
Frequently Asked Questions
Things to check before consultation
To what tasks should AI be applied first?
It is better to start with tasks that have a large number of iterations and a large amount of time, the inputs and expected results can be described, and the results can be verified by humans.
What is the difference from using ChatGPT?
Beyond personal use, it connects company documents, databases, and business tools and permissions, and designs input/output formats and review/record standards into a repeatable work flow.
Is our company data learned externally?
First check the model used, contract terms, and data storage/transmission scope. Depending on sensitivity, design de-identification, separation of rights, and scope for human verification.
Can I use it even if the accuracy is not 100%?
It is possible. It is applied first to tasks that can be checked by humans, such as classification, drafting, and search, and the range of automatic execution is gradually expanded depending on test results and risk level.
Can I connect to an existing program?
Check whether connection is possible and permissions for API, DB, files, etc. Data quality and effectiveness are first verified with small prototypes and then connected to operational systems.
It's okay if you don't have a completed plan.