Macnica. Generative AI Platform
Common issues when using AI in-house
Data and answers
Low accuracy
Employee Utilization
Not proceed
Before you start using
High hurdles
Can be flexibly expanded to suit on-site business needs!
- A wide variety of applications that accelerate business use are pre-registered
- Can be linked with Azure OpenAI and RAG, which have already been developed in-house
- To improve the accuracy of answers, we customize and accompany the data you want to load.
- Modify prompts on the fly, learn the answers you want, and share with your team
Four features of Macnica. Generative AI Platform
Feature 1
Developing applications that fit your business using low-code
The user interface can be flexibly customized to suit the business, and pre-installed prompts that can be used for a variety of business tasks support the development of applications that fit the business.
Feature 2
Latest LLM / API integration with domestic and international AI-related solutions
In addition to linking with Azure OpenAI Services and RAGs developed by various companies, it can also be connected to the latest LLMs and used in conjunction with systems such as information reference and personal information anonymization provided by generative AI-related solution companies.
Feature 3
Data integration connectors with various systems such as SAP, SalesForce, etc.
By using connectors with a proven track record of integration with a variety of systems, it is possible to develop interfaces that collect data from each company's existing systems. The history of questions and answers posed to the generative AI based on the collected data is also useful for understanding the situation.
Feature 4
Advanced access control considering confidentiality obligations/private information, etc.
For corporate data that requires access control, access permissions can be set for each user. The AI generator returns answers according to the user's access permissions, so security is also assured.
Case Study
1. Pharmaceutical industry: Automatic creation of deviation occurrence reports
Issue: Because the content of the "deviation notification" and "deviation report" differs, reports from deviation management personnel to the deviation discovery department are sent back and forth, resulting in increased time loss and workload for each department.
Solution approach: The AI agent creates a deviation report based on the deviation report (chat, web conference, email, etc.) from the person in charge of the deviation-occurring department to the deviation management officer (QA department).
② Pharmaceutical industry: SOP (standard operating procedure) regulation check
Issues: As ministerial ordinances and official documents are revised, it is necessary to check whether the relevant SOPs are in compliance. In addition, with each SOP revision, it is necessary to check whether the relevant ministerial ordinances and official documents are in compliance. While the demand for quality assurance is increasing, resources are limited.
Solution approach: AI agents will assess whether SOPs comply with the requirements of relevant ministerial orders and notices to ensure compliance.
