Beyond the Survey – AI-Powered Employee Engagement for Go Culture
KnackForge helped Go Culture modernize employee engagement measurement by implementing an AI-enabled analytics platform on AWS, combining sentiment modeling, real-time dashboards, and serverless scalability to deliver 70 percent faster feedback cycles.
Challenges
- Traditional surveys produced delayed and incomplete feedback, making it difficult for leadership teams to act promptly. Go Culture needed a flexible architecture that could process unstructured feedback, derive sentiment insights, and visualize patterns in real time.
The Solution
KnackForge implemented an AI-enabled engagement and analytics platform integrating:
- Amazon ECS and Application Load Balancer (ALB) for scalable API delivery and backend orchestration.
- Amazon RDS for secure, high-performance storage of employee survey data and engagement metrics.
- AWS Bedrock Nova and LangChain for retrieval-augmented conversational insights and natural language analytics.
- AWS Lambda and Amazon SES for automated detection, moderation, and real-time alerts on harmful content.
All components operate within a VPC environment ensuring low latency, IAM-governed access, and compliance with enterprise security standards.
The Impact
- 70 % faster feedback cycles.
- Real-time dashboards replacing static survey reports.
- Higher participation from conversational, mobile-friendly interfaces.
Go Culture’s platform now gives organizations actionable visibility into culture and engagement, turning feedback into a continuous improvement engine.
Technologies Used:
- Amazon SageMaker
- AWS Lambda
- Amazon QuickSight
- Amazon DynamoDB