
AI Chatbot with Long-Term Memory
Empower chatbots to remember context and intelligently route tasks for better student support and operational insight.
Trusted by
Built on proven educational AI-chatbot research and supported by case-studies in major institutions.
Success Story
Pearson deployed AI-powered study tools and recorded over 5 million student interactions in nine months, contributing to a 4 % growth in higher-education sales.
Integrates with
Problem
Many educational institutions deploy chatbots and digital assistants, but they treat each conversation as a standalone event. This leads to repeated queries, lack of continuity in student support, inefficient routing (help desk handles all questions), and no strategic insight into which workflows or services are most used. Support teams are overburdened, students feel the bot doesnât ârememberâ them, and operations lack data-driven insights.
Solution
Our agent extends an existing chatbot by adding a memory layer (so the bot recalls past student interactions, preferences, history) and a decision engine that routes tasks or workflows (e.g., escalate to tutor, open ticket in student services, schedule follow-up) based on intent, context and data. The memory enables personalization; the tool-routing automates the next best action.
Result
Users can expect fewer repeated queries, faster resolution of student issues, higher student engagement (because the bot âknowsâ them), and richer operational insights into workflow usage.
Use Cases
This agent enriches your existing AI chatbot by enabling **long-term memory** (tracking user context across sessions) and **dynamic tool routing** (deciding which tool or workflow to call based on user intent). In an educational context, the agent enables personalized student interactions (remembering prior sessions, goals, feedback), automates operational workflows (e.g., routing queries to student services, libraries, tutoring), and provides analytics insights (which tools students use most, what tasks are routed). With this solution you can reduce workload on student support teams, respond more intelligently to learners, and leverage conversational data to make operational decisions. Unlike standard chatbots that treat each session in isolation, this agent treats the conversation as part of a studentâs and institutionâs ongoing ecosystemâso your AI feels more human, more context-aware, and more actionable.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Kick-off
1 weekrequirements gathering
Memory schema design
2 weekschatbot integration
Analytics dashboard setup
1 weekstaff training







