Transform how education is delivered

30%

Reduction in time spent on manual, repetitive tasks

60%

of students reported higher learning outcomes when using AI

Implementing AI agents and LLMs can save educators 30% of their time while dramatically improving student outcomes and institutional efficiency.

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Read the McKinsey report
Read the Capgemini report

How we can help

Automated lesson planning

AI agents can dynamically create lesson plans based on learning objectives and student performance data, saving preparation time.

Grading and feedback

Automate grading and provide personalized feedback on assignments, helping teachers focus on student engagement.

Student progress monitoring

AI agents track individual student performance in real-time, identifying areas of improvement for timely intervention.

Administrative automation

AI systems handle scheduling, attendance tracking, and paperwork, reducing the workload of administrative staff.

Adaptive learning paths

LLMs personalize learning by adapting content and pace to each student’s progress and abilities, improving retention and mastery.

Collaboration tools

Facilitate real-time collaboration between faculty, students, and departments to improve communication.

In the rapidly evolving field of education and its delivery, automation is no longer a luxury—it's a necessity. With technologies like Large Language Models (LLMs) and AI agents, educational institutions have the power to significantly reduce administrative burdens, streamline workflows, and focus on what truly matters: improving student outcomes and engagement.

Research from McKinsey reveals that AI-powered teaching assistants and administrative automation could save up to 30% of teachers' time, allowing them to spend more time engaging directly with students. This translates into a more personalized learning experience and an optimized education system that enhances both faculty efficiency and student success.

Moreover, 60% of students report that the use of these technologies has improved their learning outcomes since the pandemic. This improvement is particularly evident in tools like machine learning-powered teaching assistants, which help deliver customized academic support at scale. As educational institutions transition to more online and hybrid models, leveraging AI becomes crucial not just for learning, but for managing operations across the board.

At the institutional level, AI orchestration across multiple departments provides powerful analytics insights, helping universities make data-driven decisions that boost student retention, graduation rates, and overall institutional sustainability. Centralized analytics teams are already optimizing operations at institutions like Northeastern, proving that automation doesn’t just help in the classroom—it transforms the entire student journey.

By investing in AI systems powered by cutting-edge LLMs, educational institutions can unlock the full potential of automation, reducing costs, improving scalability, and ensuring that faculty can focus on mentorship and instruction—where technology cannot replace human expertise.

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