Education · Case Study
From 15 Users to AI-Powered Simulation. What Happens When an Educational Platform Outgrows Messaging?
What began as a real-time messaging tool had become the foundation for increasingly complex academic simulations. Emvigo evolved the platform across performance, administration, scalability and AI – without replacing the system already in use.
Project Overview
The Simulation Was Growing. The Platform Had to Grow With It.
An established academic simulation platform had become an important part of student and administrator interaction, but its original architecture was struggling under increasing usage. Message delivery became inconsistent beyond five active groups, concurrency was limited, and several core workflows still lacked the flexibility required for larger academic sessions.
Emvigo worked alongside the client over multiple phases, first stabilising the platform and removing technical bottlenecks, then introducing scalable administration and finally extending the system with AI-driven reporting, conversational avatars and meeting analytics.
The result is an evolving educational simulation platform that has moved beyond messaging to turn participant interactions into structured, actionable intelligence.
Project At a Glance
Client
Industry
Emvigo’s Role
Technology Stack
- AWS
- LLMs
- Tavus/D-ID
- Zoom
- SendGrid
The Challenge
The Platform Was Built for Messaging. The Simulation Had Become Much More.
The platform’s role had expanded faster than its original technical foundation. Performance issues appeared as group activity increased, administrative control remained limited, and several user experience gaps affected everyday simulation management.
As the platform evolved, the requirement also changed. It needed to support larger sessions while creating a foundation for AI-powered reporting and richer student interaction.
Customer Perspective
- Higher group activity introduced delays and choppiness, affecting the real-time interaction expected during simulations.
- File ordering, media management and notification behaviour created unnecessary friction for administrators and participants.
- Some interface components did not adapt consistently across devices, limiting usability during different simulation scenarios.
- Super-admins lacked the granular delegation needed to distribute simulation management without giving away full control.
Business & Operational Problems
- The original system supported only up to 15 users, limiting its suitability for larger academic sessions.
- Duplicate code, inefficient API calls and infrastructure constraints contributed to performance bottlenecks as usage increased.
- Without sub-admin permissions, routine simulation management remained concentrated with super-admin users.
- Chat histories and meeting transcripts contained valuable information but were not yet being converted into structured reports or actionable insights.
Running an educational simulation where growing participation, administrative complexity and AI ambitions are stretching the original platform?
Emvigo evolves simulation platforms in phases – strengthening the foundation first, then adding the intelligence needed for what comes next.
Product Strategy
Emvigo's Strategic Role: Evolve the Platform Without Losing What Already Works
Emvigo treated the simulation as a living product rather than a one-time rebuild. The strategy focused on stabilising the existing platform first, then addressing scalability and administrative control before introducing more advanced AI capabilities.
A phased delivery model allowed technical debt and performance issues to be resolved without disrupting the platform’s core purpose. Each stage created the foundation for the next, moving from infrastructure optimisation to role-based administration and eventually AI-powered analysis and interaction.
The result is a platform architecture capable of evolving alongside academic requirements rather than requiring a complete rebuild every time those requirements change.
01
Stabilise Before Scaling
API optimisation, code consolidation and infrastructure upgrades created a more reliable foundation for heavier simulation workloads.
02
Scale Participation Safely
The platform was strengthened to support higher concurrent usage, removing the original limitations that constrained larger sessions.
03
Delegate Without Losing Control
A structured sub-admin model distributed operational responsibilities while preserving super-admin oversight.
04
Turn Interaction Into Intelligence
Existing chat and meeting data became inputs for automated reporting, sentiment analysis and participant-level insights.
05
Build AI Into the Existing Experience
Conversational avatars and LLM-powered workflows were introduced as extensions of the existing simulation rather than disconnected AI features.
Our Solution
One Simulation Platform. Messaging, Administration and AI Intelligence Evolving Together.
Emvigo evolved the educational simulation platform through three connected stages: technical stabilisation, scalable administration and AI-driven transformation. Each phase strengthened the same core product rather than fragmenting the experience.
Performance and Infrastructure Optimisation
API calls were optimised, duplicate code consolidated and server infrastructure upgraded to improve responsiveness and support greater concurrency.
Reliable Messaging and Media Management
Link uploads, media management and improved message delivery strengthened the core communication experience, including permanent deletion capabilities for data privacy.
Granular Sub-Admin Controls
Custom privileges allow delegated administrators to manage simulations, participate in chats and upload resources while maintaining super-admin oversight.
AI-Powered Simulation Reporting
An AI reporting layer extracts chat history from existing databases and transforms interactions into structured reports for individual users and groups.
Live Conversational Avatar
Tavus/D-ID integration brings real-time voice and lip-sync interaction into the existing LLM response flow, creating a more engaging simulation experience.
Meeting Analytics and Sentiment
Zoom transcripts, including breakout sessions, are processed through a data pipeline with AWS Comprehend sentiment analysis to generate automated participant summaries.
Business Outcomes
From 15-User Constraints to Scalable Simulation - Then Into AI-Powered Insight.
Higher Concurrent Simulation Capacity
Infrastructure and performance optimisation removed key constraints that had limited the platform's ability to support heavier simulation usage.
Lower Administrative Burden
The sub-admin framework distributed simulation management responsibilities while keeping overall control with super-admins.
From Conversations to Structured Reports
Chat histories can now feed AI reporting workflows that generate structured insights for users and groups rather than leaving interaction data unused.
AI-Enhanced Student Engagement
Conversational avatars and LLM integration introduce real-time, voice-enabled interaction into the existing simulation environment.
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