Webinar Announcement: Keys to Preventing 'Invisible Results' in AI/DX Implementation

Duepion Inc. is hosting a webinar titled 'Points to avoid the situation where AI/DX implementation shows no results.'

■ 'How much effect?' is required for 'Start small' and 'Try it out'
In AI utilization, the 'try it first' approach is necessary for moving projects with speed. However, it always comes with business accountability: 'Can it produce enough results to justify the investment?' To prevent the outcome where you don't know what changed after implementation, you must quantitatively predict the cost of current operations and the impact after automation during the evaluation phase.

■ Has 'Operational issues = Big complaints' become your strategy?
Improving areas with the biggest complaints or simply trying AI is the beginning of failure. To succeed in DX, you must thoroughly visualize current operations and quantify where, how much, and what kind of waste is hidden. Visualizing workflow clarifies tasks that yield little effect even if automated and tasks that yield high impact with small improvements. With evidence-based data, you can determine investment priorities regardless of internal power dynamics. We will introduce practical steps to move away from qualitative improvements and correctly measure AI implementation effects to clarify the 'next move.'

■ From visualization to 'PDCA'. Continuous improvement leads to results
Visualization's benefit is not just for pre-implementation decisions. Verifying the actual effects after implementation and connecting identified bottlenecks to the next improvement—this repetition is the only way to avoid leaving DX 'unfinished.' Also, by 'visualizing and standardizing' operations, 'dependency on individuals' (dependency on specific veteran employees) is resolved, preventing business suspension risks due to staff resignation.

In this seminar, we will explain concrete solutions that make it easy to build workflow and compare/verify effects before and after AI implementation with numerical data, using case studies.

■ Recommended for:
- Department managers/Section chiefs responsible for AI implementation, DX promotion, or business improvement in large enterprises with 1,000+ employees.
- Those who feel the need for AI implementation but are unsure which business areas would be effective.
- Those looking for partners who can consult on identifying AI application areas, To-Be design, and implementation support.

■ Organizer/Co-organizer:
Duepion Inc.

■ Cooperation:
Majisemi Inc.