Classpulse Agentic AI

ClassPulse – Agentic AI for Student Success on AWS

An agentic and generative AI platform that helps schools, universities and other education institutions spot disengagement early, act on it consistently, and keep staff in control of every decision.

Customer Challenges

Schools and universities need to notice when a student starts to pull away, but the signals are scattered. Attendance sits in the Student Information System, explanations arrive by email, and policies live in documents. Teachers, advisors and administrators piece it together by hand.

Manual review does not scale as student numbers grow. Warning signs are found late, and similar cases are often handled differently by different staff.

Student data is sensitive. Any AI used in student support has to be secure, auditable, kept in-country, and must never replace human judgment on decisions that affect a student.

Our Solution

ClassPulse is Alpha Data’s agentic AI solution for student success, built on AWS serverless services and Amazon Bedrock. It watches attendance events as they happen, scores each student’s risk, and reaches out when engagement drops.

When a student explains an absence, Amazon Nova Pro on Amazon Bedrock reads the explanation against the institution’s own attendance policy. ClassPulse then recommends the next step, drafts the case summary and messages, and routes anything sensitive or high-risk to an authorized staff member for approval.

The platform runs in the AWS UAE Region (me-central-1), so student data and AI processing stay in the country. Alpha Data designs, deploys and supports it end to end.

How it works

Sense

Attendance events arrive from the Student Information System through a secure API.

Assess

The Attendance Analysis Agent scores each case LOW, MEDIUM or HIGH risk using configurable thresholds.

Engage

The Notification Agent contacts the student, or their parent or guardian, by email or SMS with a secure, single-use link to explain the absence.

Reason

The Explanation Analysis Agent uses Amazon Nova Pro, with Amazon Bedrock Guardrails, to classify the explanation against the institution’s policy.

Decide

The Decision Agent recommends an outcome. High-risk, sensitive or adverse cases always go to a teacher, advisor or administrator for approval.

Audit

Every event, recommendation and staff decision is logged for review and continuous improvement.

Solution Architecture

ClassPulse is a serverless, event-driven architecture. Attendance events enter through Amazon API Gateway and are buffered in Amazon SQS. AWS Step Functions then orchestrates four specialized agents running on AWS Lambda.

Only the Explanation Analysis Agent calls the foundation model, Amazon Nova Pro on Amazon Bedrock, invoked in-Region with Amazon Bedrock Guardrails on every request. Case data lives in Amazon DynamoDB and policy documents in Amazon S3. Authorized staff review escalated cases in a secure dashboard, and the workflow waits for their decision.

The platform runs in the AWS UAE Region (me-central-1), so student data and AI processing stay in the country. Alpha Data designs, deploys and supports it end to end.

AWS Services Used

AWS service	Role in ClassPulse
Amazon Bedrock (Amazon Nova Pro)	Reasoning over student explanations and policy
Amazon Bedrock Guardrails	Content filtering, prompt-attack protection, PII masking
AWS Step Functions	Orchestration of the agent workflow and human approval
AWS Lambda	Runs each AI agent
Amazon API Gateway	Secure entry point for SIS, student and advisor requests
Amazon SQS	Buffers attendance events
Amazon DynamoDB	Case records, workflow state and history
Amazon S3	Policy documents and uploaded evidence
Amazon SNS and Amazon SES	SMS and email notifications
Amazon Cognito	Single sign-on for school and university staff
AWS Key Management Service (AWS KMS)	Encryption keys
AWS WAF	API protection
AWS Identity and Access Management (IAM)	Least-privilege access for every agent
Amazon CloudWatch, AWS CloudTrail and AWS Security Hub	Monitoring, audit trail and security posture

Security, Governance and Responsible AI

Human in the loop

Data stays in the UAE

Guarded AI

Least-privilege access

Encrypted end-to-end

Fully auditable

Customer Benefits

Earlier intervention

Risk patterns are flagged as attendance is recorded, not weeks later.

Less manual effort

Routine monitoring, outreach and case preparation are automated, so staff focus on students.

Consistent decisions

Every case is assessed against the same institutional policy, with the reasoning recorded.

Staff stay in control

AI prepares the case; people make the decisions that matter.

Scales with the institution

Serverless services grow with student numbers without extra infrastructure to manage.

Built for compliance

In-country processing, encryption and a full audit trail support institutional data protection requirements.

Use Cases

Attendance risk monitoring

Continuous LOW / MEDIUM / HIGH risk scoring across classes, grades, courses and cohorts.

Absence explanation triage

AI reads student explanations and checks them against policy before a staff member sees them.

Case management

Structured case summaries, suggested interventions and one-click approval for teachers, advisors and counselors.

Student outreach

Timely, personalized email and SMS messages to students or parents, drafted by AI and sent on approval.

Case Study

IIT Delhi – Abu Dhabi

See how Alpha Data designed ClassPulse for IIT Delhi – Abu Dhabi to help its academic teams monitor student engagement and step in earlier.

Resources

ClassPulse Agentic AI

See how ClassPulse combines agentic workflows and generative AI on AWS to help schools and universities identify at-risk students early, apply attendance policy consistently and keep staff in control. The brief covers the architecture, security and responsible AI controls, and the pilot approach.

Get in Touch

Ready to see how agentic AI can support student success at your institution? Talk to our AWS team about a ClassPulse pilot.

Classpulse Agentic AI