#Japan #Tokyo #DATAFLUCT #AI Phone #WellAI

DATAFLUCT Introduces AI Call Features to Airlake Copilot Agents

On August 20, 2026, DATAFLUCT, headquartered in Shibuya, Tokyo, will launch new AI telephone functionalities within its business support platform, Airlake Copilot Agents. This enhancement aims to revolutionize how organizations handle calls by integrating AI for both incoming and outgoing communications. Collaborative efforts with WellAI, an AI technology company based in Minato, Tokyo, ensure the machinery backing these new features is robust and effective.

In today’s fast-paced business world, companies and public entities often face the challenge of efficiently managing their phone lines. Handling calls can mean sorting through important communications while also sifting through less urgent inquiries. According to a survey by Teikoku Databank conducted in April 2026, over 50% of companies reported difficulty in maintaining sufficient staff, highlighting the pressing need for viable solutions in call management.

The forthcoming AI telephone features in Airlake Copilot Agents are designed as a comprehensive system. They will initially take the incoming call, then gather essential information such as the caller's name, company, and inquiry, and streamline this data into the company’s operational workflow. By using AI to consolidate information from phone calls, businesses can optimize how they allocate human resources.

Key Features of the New AI Phone Functions

The newly integrated functionalities include four core elements:
1. AI Incoming Calls: This feature allows the AI to serve as the first point of contact for primary inquiries, capturing details like the company name, caller's name, inquiry subject, destination department, and whether a return call is requested.
2. AI Outgoing Calls: AI can also manage outgoing calls for confirmations, reminders, or follow-ups as prescribed by the established workflow, recording results in real time.
3. Transcription and Workflow Integration: The service will transcribe conversations and systematically structure the results based on the inquiry nature, allowing for direct integration with CRM systems and other crucial operational frameworks.
4. Human Verification and History Maintenance: Human operators will have the capacity to review AI-generated assessments, making final decisions regarding call outcomes, such as assigning actions, marking calls as unnecessary, or confirming return calls.

The Workflow in Action

To illustrate, in a typical use case, the process of handling a call can be broken down as follows:
1. Incoming Call Reception
2. AI Data Collection
3. AI Processing and Record Keeping
4. Final Verification by a Human Agent

This streamlined procedure ensures that organizations can manage incoming inquiries without burdening their staff with excessive call handling, thereby allowing teams to focus on more complex operational tasks. Preliminary evaluations conducted in a demo environment revealed that up to 70% of incoming calls could be handled entirely by AI, averaging around 2.1 minutes per interaction, which suggests significant time savings.

Broadening the Horizons of AI Utilization

Beyond business applications, DATAFLUCT anticipates the AI functionalities being utilized by municipal governments and public service hotlines. By deploying AI in these contexts, local governments can delegate the first round of inquiries to AI, simplifying the process of engaging with constituents and stakeholders while ensuring that only pertinent calls are routed to human operators.

Utilizing a sophisticated dashboard, staff can monitor unanswered calls, return requests, and record-keeping in real time. This offers a valuable tool for streamlining operations and improving efficiency.

Collaboration for Advanced Call Solutions

DATAFLUCT’s initiative is in collaboration with WellAI, which enhances its AI capabilities by providing the underlying technology essential for advanced voice interactions in call management. This partnership combines DATAFLUCT's robust business solutions with WellAI’s expertise in AI-driven interaction technologies.

As the launch date approaches, organizations interested in implementing these AI call features will be encouraged to reach out for consultation regarding customization based on their specific operational requirements, ensuring the best fit for their telephone management processes.

In summary, the integration of AI call functions into Airlake Copilot Agents signifies a significant step towards digital transformation in the realm of business communications, enabling a more efficient and streamlined operational flow that benefits not only individual businesses but also broader public services. For further details and inquiries, organizations can visit DATAFLUCT’s service site or contact them directly for consultations regarding implementation.