THE SITUATION
The organization was managing PeopleOps across multiple systems and geographies. As scale increased, employee support became more complex.
HR knowledge was distributed across tools such as Confluence and Workday, making access fragmented. A high volume of repetitive queries added operational load, while data privacy constraints limited self-service.
This resulted in inconsistent employee experience and delayed query resolution, with increasing impact on operational efficiency and engagement.
THE SOLUTION
GrowthArc implemented an AI-driven PeopleOps Genie as a conversational assistant within Slack.
The approach focused on providing a unified interface for accessing policies, processes, and performance insights, while maintaining secure and role-based access to sensitive data.
It combined a structured knowledge layer, conversational interaction, and automated data orchestration to enable direct access to PeopleOps information.
WHAT WE BUILT
A conversational PeopleOps assistant was embedded within Slack, accessible through public channels for general queries and a DM bot for confidential interactions. It is supported by a unified knowledge layer that consolidates HR policies, employee data, and internal documentation into a structured repository.
The system follows a skill-based design covering core PeopleOps areas, including payroll, benefits, onboarding, IT support, performance, and policies. Role-based access controls ensure secure handling of sensitive data, while human-in-the-loop workflows enable escalation and feedback. An automation layer using Workato orchestrates real-time data retrieval and response generation.
THE OUTCOME
In the pilot, the solution achieved a satisfaction score of 3.9 out of 5 and a confidence score of 3.7 out of 5, with adoption increasing steadily as the knowledge base was optimised.
Operationally, the solution delivered a significant reduction in repetitive HR queries, 24/7 real-time responses with contextual accuracy, and stronger governance through auditable, role-based data access. HR teams recovered capacity previously absorbed by manual query handling, with measurable improvements in policy adherence and employee engagement.
3.9 / 5
Employee satisfaction score
Reflects consistent user feedback on the experience
3.7 / 5
Response confidence score
Indicates user confidence in the accuracy of responses
3,000+
PeopleOps access enabled at scale
Represents usage across employees, managers, and HR teams
FUTURE OUTLOOK
The implementation establishes a structured foundation for scaling self-service across additional enterprise functions.
The underlying architecture is not limited to PeopleOps. The same pattern, a governed knowledge layer, a conversational interface, and an automation backbone, can be reused across other high-volume operational areas. This serves as a proof point for broader enterprise AI adoption.
