AgentHack submission type
Enterprise Agents
Name
Kimiko Honda
Team name
Team Sense
Team members
How many agents do you use
One agent
Industry category in which use case would best fit in (Select up to 2 industries)
HR
Complexity level
Intermediate
Summary (abstract)
Kokoro Check-In is an AI agent that gently visualizes the emotional state of your team. By analyzing weekly mood check-ins, it shares subtle emotional insights—like “someone might be tired”—through Google Chat. Built 100% with UiPath, it redefines automation as something that supports human feelings, not just tasks.
Detailed problem statement
In modern teams, it’s common to track KPIs and task progress, but emotional well-being is often invisible. Subtle signs—like tone of voice, shorter messages, or withdrawn behavior—are frequently overlooked during busy workdays. This emotional blind spot can lead to reduced psychological safety, miscommunication, and even burnout.
Especially in hybrid or remote work environments, where physical cues are missing, it’s harder for teams to “sense” how others feel. Traditional tools like surveys are infrequent, formal, or too late to catch small but important emotional signals.
Kokoro Check-In addresses this challenge by making emotional states visible, regular, and easy to reflect upon—helping teams sense and respond to unspoken needs before they become serious issues.
Detailed solution
To address the challenge of making emotional signals visible within teams, we designed Kokoro Check-In as a fully automated, AI-powered emotional insight agent—built entirely with UiPath tools.
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Weekly Emotional Input via UiPath Apps
Team members use a simple UiPath App to select their current mood and optionally leave a short comment. The form is designed to be fast, friendly, and non-invasive. -
Secure Storage in UiPath Data Service
All check-in data is saved in UiPath Data Service, enabling structured, secure, and scalable data management for analysis. -
Sentiment Analysis with AgentBuilder
The comments are passed to a UiPath AgentBuilder agent, which extracts emotional sentiment and summarizes team mood trends using natural language summarization. This step allows subtle patterns to be recognized without manual review. -
Automated Reporting via Studio + Orchestrator
Every week, a scheduled process is triggered through Orchestrator to compile the summary, generate visual output, and send emotional reports via Google Chat and/or email. -
Privacy and Scalability Considerations
No external AI (e.g., OpenAI) is used. The solution is 100% UiPath-based, ensuring enterprise-level security and compatibility. The process can scale to any team size with minimal setup.
With Kokoro Check-In, we’ve created a seamless flow where emotional well-being becomes part of the work routine—without burdening anyone.
Demo Video
Expected impact of this automation
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Time saved & zero maintenance overhead:
Emotional summaries are generated and shared fully automatically, saving managers time otherwise spent checking in individually with team members. The weekly reporting flow requires no manual input or oversight. -
Improved team communication & psychological safety:
By surfacing invisible emotional signals, Kokoro Check-In enables proactive communication and empathy within teams. This leads to fewer misunderstandings, reduced emotional tension, and increased trust. -
Scalability & sustainability:
The solution is 100% UiPath-based and scalable to any team size with minimal setup. Once deployed, it runs continuously without intervention. -
ROI beyond KPIs:
While traditional automation focuses on repetitive tasks, Kokoro Check-In delivers emotional value: early detection of burnout risks, increased employee satisfaction, and stronger team cohesion—all of which translate into higher retention and performance. -
Cultural impact:
By normalizing emotional reflection, it promotes a culture of psychological well-being and openness—often overlooked yet critical to long-term productivity.
UiPath products used (select up to 4 items)
UiPath Agent Builder
UiPath Apps
UiPath Data Service
UiPath Studio Web
Integration with external technologies
GoogleChat
Agentic solution architecture (file size up to 4 MB)
Sample inputs and outputs for solution execution
Inputs:
Mood selection from predefined options (e.g., ♪♪♪ Light Tune / ♪♪ Neutral Note / ♪… Silent Beat)
Free-text comment (optional but encouraged)
Weekly execution trigger (scheduled via Orchestrator)
Outputs:
Emotional summary generated by AgentBuilder (natural language)
Sentiment trend indicators (e.g., positive/negative/neutral)
Weekly notification message delivered to Google Chat (includes summary + highlights)