Exatech Launches Voice AI Service "Moshimoshi AI" for Call Centers and BPO Providers
Key facts
- Exatech Launches Voice AI Service "Moshimoshi AI" for Call Centers and BPO Providers
- Exatech Inc. has launched "Moshimoshi AI," a specialized voice AI solution for call centers and business process outsourcing (BPO) operators. Combining OpenAI's Realtime API and Twilio, the service achieves natural conversation with a latency of approximately one second. The AI automatically handles primary reception, FAQ responses, overflow calls during peak times, and call transcription with structured data extraction, reducing operational burdens and improving efficiency.
- Source: PR Times
- Date: June 15, 2026
Direct answer
Exatech Inc. has launched "Moshimoshi AI," a specialized voice AI solution for call centers and business process outsourcing (BPO) operators. Combining OpenAI's Realtime API and Twilio, the service achieves natural conversation with a latency of approximately one second. The AI automatically handles primary reception, FAQ responses, overflow calls during peak times, and call transcription with structured data extraction, reducing operational burdens and improving efficiency.
- Citation
- Exatech Launches Voice AI Service "Moshimoshi AI" for Call Centers and BPO Providers (June 15, 2026), PR Times
- Source
- PR Times
- Date
- June 15, 2026
Exatech Inc. has launched "Moshimoshi AI," a specialized voice AI solution for call centers and business process outsourcing (BPO) operators. Combining OpenAI's Realtime API and Twilio, the service achieves natural conversation with a latency of approximately one second. The AI automatically handles primary reception, FAQ responses, overflow calls during peak times, and call transcription with structured data extraction, reducing operational burdens and improving efficiency.
📋 Article Processing Timeline
- 📰 Published: June 15, 2026 at 02:00
- 🔍 Collected: June 14, 2026 at 17:03
- 🤖 AI Analyzed: June 14, 2026 at 17:07 (3 min after Collected)
This service frees operators from routine responses, allowing them to focus on high-value conversations. With a response latency of approximately one second, the AI conducts conversations as naturally as a human, preventing revenue loss due to overflow calls during peak hours.
■ Development Background and Call Center Challenges
The call center industry faces several serious challenges:
- Call overflows (abandoned calls) during peak times: Incoming calls concentrate during specific periods, such as immediately after campaigns or first thing in the morning, leading to missed opportunities and decreased customer satisfaction.
- High volume of FAQ-related calls: Operator resources are heavily consumed by simple inquiries that can be resolved with standard answers, such as business hours, address, and delivery status.
- Rising recruitment and training costs: Businesses incur significant costs to standardize response quality through training and script management, and onboarding new staff takes time.
■ Features of "Moshimoshi AI" for Call Centers
The service provides optimized conversational scripts tailored to call center and BPO operations.
- Primary Reception and Optimal Routing
The AI answers incoming calls first to identify the customer's request. It then forwards the call to the relevant department/person or records a call-back request.
- Fully Automated FAQ Responses
The AI resolves routine inquiries, such as business hours, location, and delivery status, within the conversation. Automating simple confirmation calls dramatically increases efficiency.
- Secondary Reception for Overflow Calls
The AI automatically answers calls that cannot be handled by the main line. It gathers customer details and their requests, recording them for operators to follow up, ensuring no leads are missed.
- Automated Call Structuring and 100% Recording
All calls are recorded and automatically transcribed. Additionally, the AI automatically extracts structured items such as name, company name, request category, call-back availability, and urgency level, reducing manual data entry into CRM and reservation systems.
■ Performance and Implementation Process
By combining OpenAI Realtime API with Twilio, "Moshimoshi AI" achieves a response latency of approximately one second, enabling natural conversation flow. It integrates smoothly with existing PBX and CTI systems by forwarding calls to the main representative number via Twilio.
- Implementation Steps: Inquiry > Consultation > Script Creation > Trial Run > Live Operation (completed in as short as two weeks)
- Operating Hours: Available 24/7 for automated responses
- Data Utilization: Full recordings and transcription data can be used for quality checks and training materials for new staff.
■ Commemorative Free Demo Script Creation Campaign
To celebrate the release, the company is offering free custom demo scripts (conversational scripts for the AI) tailored to the call center and BPO operations of interested businesses. By submitting business details via the official website form (takes about one minute), a representative will respond with a proposal within two business days.
■ Contact Information and Related URLs
- Service Overview: https://mosimosi-ai.jp/
- Call Center/BPO Details: https://mosimosi-ai.jp/industries/callcenter
- Demo Script Application: https://mosimosi-ai.jp/contact
- Company Information: https://exatech.dev/
FAQ
How does Moshimoshi AI differ from traditional automated response systems (IVR)?
Unlike traditional push-button IVR systems, Moshimoshi AI utilizes OpenAI Realtime API to achieve a human-like conversation with a response latency of about 1 second. It understands free-form speech, captures user requests, and routes calls dynamically.
Can it be implemented without changing our existing call center hardware or PBX?
Yes, it can be integrated smoothly. There is no need to modify your existing PBX or CTI systems; you simply set up call forwarding from your business number to Moshimoshi AI via Twilio.
How are the call details handled and managed after an AI interaction?
Every call is fully recorded and automatically transcribed. The AI also extracts key details (e.g., name, company name, purpose, urgency) into structured data, allowing easy export to CRM or booking systems.