Empowering Organizations with AI: Revolutionizing People Science

Business Problem

SurePeople is a leading provider of advanced platforms designed to empower individuals, teams, and organizations through people science. Powered by cutting-edge machine learning and the Prism psychometric algorithm, their platform delivers valuable insights into human behavior to elevate team performance.

Growing demand for more personalized and scalable solutions as businesses expand.
We need to enhance the user experience to stay competitive.
Pressure to deliver more targeted insights and actionable recommendations.
Integrating advanced voice interaction capabilities is required to meet evolving customer expectations.

Solution

The proposed solution is a comprehensive, end-to-end approach that includes data preparation, model development, prompt design and engineering, and the integration of advanced text-to-voice and voice-to-text capabilities.

Key use cases identified by SurePeople that this solution addresses include:

1.

Coaching for Team Leaders: Leverage Lyzr’s Content Re-synthesizer SDK, powered by RAG, to provide targeted coaching guidance for team leaders.

3.

Harvard Content & SurePeople Practices Mapping: Apply Lyzr’s Content Tagging SDK with RAG-powered Hybrid Search for effective content categorization and tagging.

5.

Conversational Interactions: Use Lyzr’s RAG-based SDK for intelligent conversations.

7.

RLHF Fine-Tuning SDK: Integrate RLHF to improve GPT model performance with human feedback.

2.

Meetings Module: Use the same SDK to offer customized suggestions for various meeting scenarios, which RAG enables.

4.

Website QA Bot: Deploy Lyzr’s QA Bot SDK, utilizing RAG to query SurePeople website data efficiently.

6.

Voice Bot: Add transcription, summarization, and text-to-speech for enhanced user experience.

Empowering Organizations with AI: Revolutionizing People Science

Architecture

Data Sources: Primary Staged DataSource, Coaching Guides, Meeting Module, Static DataWarehouse, Group Framework, Prism Profiles, Meeting Framework.
Data Ingestion: Webhooks, Airflow, Amazon S3, EC2 Containers.
Data Processing: Data Processing APIs, Real-time Processing, RAG Pipeline, Lyzr SDKs.
Primary Data Storage: Amazon S3, MongoDB (for Structured and Semi-Structured Data), MongoDB Atlas (for Vector DataStore).
Secondary Data Storage: Static Data Warehouse (MongoDB).
Natural Language Processing: OpenAI (for Query Extraction APIs, Generative AI).
AI Models: Query, Output, User Metadata.
API Gateway: Amazon API Gateway for managing API calls and integrating with different components.
Webhooks: For triggering actions based on events.
Microservices Architecture: The architecture seems to be designed as a collection of microservices, each responsible for a specific function.
Data Flow: Data flows from data sources through ingestion, processing, and storage components, eventually being used by AI models and applications.
Real-time Processing: The use of real-time processing indicates the need for immediate data analysis and response.

Outcomes
The implementation of these advanced capabilities will lead to transformative outcomes for SurePeople and its clients: