Money Forward
Company-wide generative AI programme for sales, security reviews and staff productivity
Money Forward staff reported 32% more meetings per inside-sales rep and 15-minute security questionnaire drafts with generative AI
Problem
Money Forward wanted to raise productivity across sales, engineering, marketing and back-office teams. Answering customer security questionnaires took one day to several business days.
Approach
An AI promotion unit led the programme. It used an in-house tool on Azure OpenAI Service, automated meeting minutes connected to Zoom, coding assistants, and a retrieval-based tool for security checksheets built on BigQuery. A yearly idea contest collected staff proposals.
Results
Takeaway
The results come from staff interviews and an internal survey. The 4,680-hour saving is an expected figure, not a measured one.
Categories
- Industry
- Technology and telecom
- Business function
- Marketing and salesInternal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Interviews with Money Forward's AI lead and an ML engineer on how the company uses generative AI across teams. It gives sales, security-checksheet and survey figures, plus an expected 4,680 hours saved from automated minutes.
Full details are in the original sources.