AgentHack submission type
Enterprise Agents
Name
Hong Ling Wong
Team name
Resource Revolutionaries
Team members
@Kotla_Gunasekhar @Srijidha_Balakrishnan
How many agents do you use
Multiple agents
Industry category in which use case would best fit in (Select up to 2 industries)
HR
Complexity level
Intermediate
Summary (abstract)
Transform workforce management with our AI-driven HR Resource Management agents, tackling inefficiencies in resource allocation, talent acquisition and employee development.
Detailed problem statement
The current workforce management typically rely on spreadsheets and basic reporting tools or basic automations to analyse historical staffing data and assess skillsets to identify suitable resources. Challenges include:
- Reactive Analysis Employee Profiles and Requirements: analysing employee profiles against project requirements process is labour-intensive and inefficient
- Inefficient Talent Acquisition: When skill gaps are identified, the hiring process for new talent is often slow and reactive, resulting in understaffing and project delays
- Limited Upskilling Opportunities: Existing employees may not receive personalised learning plans, leading to skill stagnation and decreased employee engagement
Detailed solution
To address the identified challenges, we propose the implementation of an HR - Resource Management agents that leverage UiPath Agentic AI technology:
- AI Analytics: The agent will analyse resources and project requirements data, enabling automated fulfilment of staffing requirements
- Automated Talent Acquisition: The agent will draft job description, streamlining recruitment efforts and significantly reducing time-to-hire.
- Personalised Learning Plans: The agent will assess existing employee skill gaps and recommend tailored upskilling and learning plans, fostering continuous development
Demo Video
Expected impact of this automation
The anticipated impact of our HR - Resource Management agent, powered by UiPath Agentic AI, is substantial and multifaceted:
- Increased Efficiency: HR teams will save valuable time and resources, allowing them to concentrate on strategic workforce planning and employee engagement.
- Improved Decision-Making: Access to real-time insights and AI analytics will enable HR professionals to make informed decisions, leading to better workforce allocation and minimising operational risks.
- Enhanced Employee Development: Personalised learning plans will promote continuous skill development, resulting in a more agile and capable workforce that can adapt to changing business needs.
UiPath products used (select up to 4 items)
UiPath Action Center
UiPath Agent Builder
UiPath Apps
UiPath Maestro
Integration with external technologies
Open AI, Email
Agentic solution architecture (file size up to 4 MB)
Sample inputs and outputs for solution execution
Resource Analysis
i. Project requirements submission
- Input – Project requirements submitted through UiPath Apps
- Output – Project requirements recorded in Data Fabric
- Output – Dashboard in UiPath Apps updated
ii. Pipeline Analysis Agent
- Input – Resources records stored in Storage Buckets
- Input – Project requirements recorded in Data Fabric
- Output – Resource matching action task is created in UiPath Action Centre
iii. Robot
- Input – Action outcomes from UiPath Action Centre
- Output – Email notification to notify project allocation
Learning Personalisation
i. Talent Management Agent
- Input – Analysis generated from Pipeline Analysis Agent
- Input – Resources records stored in Storage Buckets
- Output – Learning courses action task is created in UiPath Action Centre
ii. Robot
- Input – Action outcomes from UiPath Action Centre
- Output – Email notification to notify learning recommendation
Talent Acquisition
i. Talent Management Agent
- Input – Analysis generated from Pipeline Analysis Agent
- Output – Job description action task is created in UiPath Action Centre
ii. Robot
- Input – Action outcomes from UiPath Action Centre
- Output – Email notification to notify job description