What challenges did Boise State University face before AI implementation?

AI adoption across campus was fragmented across paid and free tools. Commercial AI subscriptions were too expensive at campus scale. FERPA requirements created constraints on tools that might train on student data. Vendor lock-in would limit flexibility as AI models and capabilities evolve.

What was the impact of the AI solution?

The university says the platform cuts per-user AI costs by more than 80% versus the commercial subscription baseline. Boise State targets about $3 per user per month, compared with an estimated $7.2 million annual cost for campus-wide premium subscriptions. Adoption has grown organically month over month. The platform also enabled instructional designers and faculty to create and share assistants for teaching tasks.

Source

Boise State University builds campus-wide AI platform on AWS and cuts per-user costs by 80%

Use case typeStudent support assistantUpdated Jan 12, 2026

Boise State University built a campus-wide AI platform on AWS to replace fragmented and costly AI subscriptions while maintaining FERPA-aligned governance. The web-based platform gives students and faculty access to multiple models through one interface, supports custom assistants for courses, and includes document-based retrieval-augmented generation.

Organization: Boise State University
Industry: Education
Location: United States
Published: January 2026

Reported outcomes

−80%

per-user AI cost reductionCost savings

7,200,000 USDannual commercial subscription baseline

Strategic outcomes

Cost efficiencyReduced AI operating cost for the whole campusOther strategic outcomeExpanded equitable AI access for students and facultyRisk & complianceMaintained FERPA-aligned data governanceOther strategic outcomeEnabled class-specific assistants and document-grounded chats

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1Student support assistant
2Workflow automation

AI adoption across campus was fragmented across paid and free tools.
Commercial AI subscriptions were too expensive at campus scale.
FERPA requirements created constraints on tools that might train on student data.
Vendor lock-in would limit flexibility as AI models and capabilities evolve.

Boise State University built a custom AI platform on AWS in six months with help from AWS and partner ScaleCapacity.
Amazon Bedrock provides access to multiple large language models through a single web interface.
The team built a retrieval-augmented generation pipeline for document uploads so users can incorporate their own files into conversations.
Amazon S3 hosts the front end, Amazon RDS for PostgreSQL stores user data and messages, serverless functions power tool integrations, and AWS Control Tower supports centrally managed accounts aligned to FERPA requirements.

Technologies

Amazon Bedrock Amazon S3 Amazon RDS for PostgreSQL AWS Control Tower Retrieval-Augmented Generation

The university says the platform cuts per-user AI costs by more than 80% versus the commercial subscription baseline.
Boise State targets about $3 per user per month, compared with an estimated $7.2 million annual cost for campus-wide premium subscriptions.
Adoption has grown organically month over month.
The platform also enabled instructional designers and faculty to create and share assistants for teaching tasks.

Architecture

A custom campus AI platform built on AWS with a single web interface, Amazon Bedrock for multi-model access, a retrieval-augmented generation pipeline for uploaded documents, Amazon S3 for the front end, Amazon RDS for PostgreSQL for user data and conversations, serverless functions for integrations, and AWS Control Tower for centrally managed accounts aligned to FERPA requirements.

Implementation partners1

ScaleCapacity

Sources & evidence1

Groundedness: 5/5Type: Blog PostPublished: Jan 12, 2026Publisher: AWS Public Sector BlogEvidence: VendorConfidence: Medium

Primary source

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