Ufull: Leading the Charge in Proactive AI Utilization
Ufull Corporation, headquartered in Minato, Tokyo, is pioneering a new age of proactive AI, which anticipates and supports various business operations by analyzing extensive data to propose optimal actions before they are requested. As the utilization of AI has rapidly expanded in recent years, many workplaces still largely rely on traditional human-driven directives. Ufull is determined to revolutionize this with its proprietary platforms,
CUCON and
enebular, aimed at enhancing the proactive use of AI and facilitating its implementation across diverse industries and tasks.
The Shift Toward Proactive AI
Traditionally, AI functions as a
human-centric tool, where people identify issues and instruct AI to respond. In contrast, Ufull's proactive AI takes an
event-centric approach. This means the AI autonomously analyzes data, logs, and events accumulated in systems to detect potential challenges and improvement strategies before humans are even aware of them.
For example, in the context of scheduling, conventional AI requires a person to notice an incoming email, initiate a request to adjust dates, and then the AI extracts possible dates based on calendar data while the human must draft and send a response. Conversely, with proactive AI, once a scheduling request is received, the AI automatically analyzes the email content to understand the request, checks the availability of relevant parties, extracts potential dates, and even generates a draft response. This means that humans only need to review the content and decide whether to send it. By enabling AI to assist pro-actively, businesses can significantly enhance their operational speed and productivity.
Enhancing Business Processes with CUCON and enebular
Ufull has accumulated extensive knowledge in event-driven business design through numerous IoT and cloud collaboration projects. This expertise will facilitate the implementation of proactive AI through the following platforms:
- - CUCON: A data-service integration platform that consolidates data from multiple systems in real-time, enhancing the reliability of data that supports AI decision-making.
- - enebular: A low-code development platform based on Node-RED, designed for flexible integration of AI and systems, autonomously controlling business processes through event-driven mechanisms.
Use Case Scenarios of Proactive AI Utilization
Ufull's proactive AI can be integrated into various operational scenarios, yielding substantial benefits:
1.
Enhanced Customer Support: When a call is received, the AI swiftly identifies the inquiry type and automatically routes it to the appropriate department. It can transcribe and summarize the call in real-time while displaying related knowledge. The AI also preemptively detects issues requiring human intervention and alerts management.
2.
Sales Strategy Optimization: The AI continuously monitors information on the web, analyzing competitor product launches and trends ahead of time. It generates comparison reports with company products and instantly produces promotional content and catchphrases, supporting automatic adjustments in marketing strategies and online retail presence.
3.
Workplace Reform and Employee Care: The AI monitors chat and survey data to identify early signs of employee stress. It can automatically schedule interviews based on the detected conditions and provide interviewers with recommended responses and important considerations, ensuring no opportunity for employee care is missed.
4.
Content Creation Automation: By capturing updates and trending topics in advance, the AI can summarize, script, generate voice content, edit, and prepare publications, with only human confirmation required before public release. This streamlines information dissemination while maintaining quality.
Through its self-developed services, Ufull is dedicated to advancing proactive AI utilization that anticipates business needs. Moving forward, Ufull aims to accelerate creating new value through collaboration with partner companies, assisting in numerous PoC efforts, and expanding use cases across various sectors to contribute to a sustainable society.