Inogrid Builds Enterprise-Wide AX System, Names Claude Its Standard AI

Inogrid announced on the 27th that it has built an enterprise-wide AI transformation (AX) system. The company said it has established the system by applying generative AI simultaneously to its own product development and general business processes.

To that end, Inogrid selected 'Claude' as its enterprise standard AI tool. It is also supporting license adoption so all employees can use it for work.

Inogrid is launching its AX Innovation TF and carrying out workflow innovation in both development and nondevelopment organizations in parallel. The AX Innovation TF consists of the 'Innovation Development Subcommittee' and the 'AX Innovation Subcommittee,' with Kang Seung-eok, head of the center, serving as TF leader and Park Chang-won, vice president, as deputy TF leader.

The Innovation Development Subcommittee is operated around the R&D organization. In this subcommittee, generative AI is being used for repetitive development tasks such as code writing, testing, and technical documentation.

Through this effort, Inogrid aims to allow developers to focus on areas that require specialized judgment, such as architecture design, code review, security review, and performance review.

Performance evaluation is designed around actual changes in time, throughput, and quality in development and nondevelopment organizations, rather than the amount of AI use itself. Inogrid has adopted actual productivity KPI, instead of AI usage rates, as its evaluation principle, and has set up an assessment plan focused on confirming changes in productivity and quality in the development process rather than the amount of code generated. The development organization measures lead time, throughput, and quality in the development process, and the performance metrics are the reduction rate in development lead time, sprint throughput, and the pass rate for quality checks.

The nondevelopment organization measures the time required for each process. The business processes targeted by the AX Innovation Subcommittee are sales, consulting, business planning, management support, and communications, and AI is being applied to repetitive tasks such as proposal writing, RFP requirement analysis, contract review, report writing, and standard document preparation. Through this, the company aims to reduce work hours and better support analysis and decision-making.

The TF plans to avoid pursuing multiple tasks at once and instead select and drive the Top 3 representative AX tasks. The selection criteria are enterprise-wide perceived impact, quantitative effect, and visibility within 3 months. The policy of selecting the Top 3 representative AX tasks was also presented.

ROI is calculated by comparing time saved with AI adoption costs. The company calculates results by applying an ROI calculation policy based on AI adoption costs relative to time saved.

Operational results over about 3 months will be reviewed in the CEO's performance review in November, and based on those results, decisions will be made on whether to expand AI licenses, broaden the scope of AI use, and adjust operating methods.

Inogrid CEO Kim Myung-jin said the adoption of AI licenses for all employees is an enterprise-wide strategic investment aimed at securing future competitiveness, and explained that the company is pushing ahead with building an AX system that leads from automation to quality improvement and a shift in the way people work.

On the 5th, Inogrid won the 'KINTEX integrated storage and DBMS redundancy project' and began building Active-Standby infrastructure linking an operating server and a standby server under the project.

Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=241239

References

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