Graffer to Exhibit AI-Powered Municipal Phone DX Solutions at 'Municipality/Public Week 2026'

Graffer, a leader in municipal DX, will showcase its 'Graffer AI Operator' at Tokyo Big Sight from May 13-15, 2026. The service uses LLM to understand natural speech and automate responses, reducing staff workload and resident frustration over unanswered calls.
イベントNQ 80/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 27, 2026 at 22:00
  • 🔍 Collected: April 27, 2026 at 13:31
  • 🤖 AI Analyzed: April 28, 2026 at 03:02 (13h 30m after Collected)
## Exhibition: Graffer to Promote Municipal Phone DX at 'Municipality/Public Week 2026'

Graffer, Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Daichi Ishii), a company realizing business transformation for local governments, will exhibit at 'Municipality/Public Week 2026' held at Tokyo Big Sight from May 13 (Wed) to 15 (Fri), 2026. At the booth, Graffer will present solutions for municipalities facing challenges such as 'resident dissatisfaction due to unanswered calls' and the need to 'reduce staff workload while improving service quality.' The main exhibit will feature 'Graffer AI Operator,' an AI phone service that understands natural speech and provides answers based on specific municipal knowledge. The booth will offer service demonstrations and individual consultations on implementation.

### What is 'Graffer AI Operator'?

'Graffer AI Operator' is an AI-powered phone service that understands natural speech, automatically answers routine questions using a knowledge base, and summarizes/transfers complex matters to human staff. Unlike traditional IVR, no push-button operations are needed; residents simply state their purpose, and the AI comprehends and provides appropriate guidance. Operating 24/7, it ensures response during off-hours or peak times, eliminating frustration and drastically reducing staff tasks.

### Background

In municipal windows, phone handling remains a heavy burden. While chatbots and FAQs are expanding, many residents still prefer calling, leading to line congestion and repetitive tasks for staff. With AI evolution, natural speech recognition has reached practical stages. This exhibition will show specific implementation methods in the newly established 'Municipal AI Utilization Zone.'

### Exhibition Highlights

**Natural Dialogue Without Push-Buttons**
The service eliminates the need for 'Press 1 for A' operations. LLM technology enables flexible responses tailored to the inquiry, reducing resident stress.

**Optimal Division of Labor Between AI and Humans**
AI handles routine questions based on knowledge. For complex cases requiring individual judgment, AI summarizes the call before transferring to staff, allowing them to focus on the core issue without repetitive explanations.

**24/7 Availability and Quality Management**
The service ensures connectivity even outside office hours. All calls are logged and visualized, allowing administrators to implement PDCA cycles based on data for continuous service improvement.

### Proven Results in Municipalities

Specific results have been reported by early adopters. In Kitakyushu City's Kokurakita Ward, about half of My Number-related inquiries were handled entirely by AI. Other adopters include Minato Ward (Tokyo), Inazawa City (Aichi), and Takamatsu City (Kagawa). The booth will share the implementation process based on these precedents.