Case Study

EdTech Firm Saves Millions in Course & Curriculum Creation Using Knowledge Graphs and AI

Executive Summary

A leading online education provider partnered with phData to rethink how it develops and manages its catalog of digital learning materials in the age of AI. Creating new course materials aligned with their learning objectives and each state’s standards was costing the client tens of millions of dollars per year. phData partnered with the customer to help create courses and curricula using GenAI, resulting in a collaboration that dramatically accelerates the creation and assembly of courses. Within the first year, the customer achieved approximately $1 million in projected annual operating expense savings and reduced average course blueprinting costs by up to 90%.

$1M

in year one OPEX savings

+80%

in average savings per course creation

~$10M

in projected annual savings

Business Challenge

Creating digital learning materials at scale was a substantial operational challenge. Every course required extensive manual effort to comply with state-specific educational standards, resulting in costs ranging from $80,000 to $150,000 per course. This slow, resource-intensive process limited the organization’s ability to quickly expand into new markets or adjust existing content to meet changing regulations. Leadership needed a solution that could streamline content creation, ensure compliance, and lower costs without sacrificing quality.

phData's Solution Process

phData collaborated closely with curriculum, technology, and operations leaders to redesign the end-to-end course development process. 

The final product streamlines course creation by leveraging a rich knowledge graph and GenAI to assist with blueprinting, compliance, and content generation. A convenient set of APIs and front-end widgets enables the client to quickly deliver these new capabilities across their teams, providing a better experience for students and teachers.

Key Components Included:

Workflow Mapping & Optimization

A comprehensive assessment of the client’s existing process identified automation opportunities that would significantly improve productivity across multiple teams.

Seamless System Integration

The CiaD platform connected the client’s content management systems to new AI services, enabling more creative workflows without the need for an expensive upfront investment.

Automated Compliance & Localization

A knowledge graph deployed on Amazon Neptune enables creators to quickly produce content blueprints that are compliant and highly personalized to each state, grade, and subject. In addition to saving time, richer context blueprints were shown to improve the quality of GenAI content pipelines.

AI Platform on AWS

The solution is all built on a serverless AWS infrastructure with data pipelines managed by Snowflake and DBT.

Results

The impact of the Course in a Day initiative was immediate and significant:

Cost Reduction

The average cost per course build dropped from $120,000 to $15,000, representing an 80% reduction.

Operational Savings

The client projects approximately $1 million in annual OPEX savings within the first year of use.

Speed & Scalability

Courses can now be more dynamic and quickly distributed across states, enabling the client to respond rapidly to market demands.

Quality & Compliance

Content is now more localized and compliant with state-specific standards, utilizing visual coverage analytics to reduce risk and enhance educational outcomes.

Leadership Recognition

The initiative was recognized internally as a “two-for-two win” by the CEO, who personally highlighted it as a major success.

Business Impact

The solution fundamentally reshaped how the client approaches digital curriculum creation. By combining process redesign with intelligent automation, the organization achieved both immediate financial benefits and long-term scalability. The engagement also positioned the company to leverage emerging AI capabilities, transforming course creation from a manual production process into a data-driven, repeatable workflow.

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