What you need to know: Instructure, the company behind Canvas LMS, established its procurement function in late 2024 with a team of three managing $400 million in spend. By deploying Levelpath’s Task Agents, the team reduced contract review turnaround from anywhere between one to four months to a five business day SLA, with AI delivering results in minutes. Team members are now building their own custom Agents, no coding required.

The Contract Problem Hiding in EdTech 

Every procurement team knows the feeling: contracts piling up, legal queues stretching out for weeks or even months, and stakeholders growing impatient. In industries like education technology, where vendor ecosystems are sprawling and global operations span multiple continents and languages, the problem compounds quickly.

Contract review is one of the most repetitive, time-consuming tasks in procurement. It requires checking every statement of work against an internal playbook, verifying that required terms are present, identifying risk language, and flagging anything that needs to go back to the supplier. Multiply that across hundreds of agreements per year, and even experienced procurement professionals find themselves spending the bulk of their time on review rather than strategy.

For organizations that are scaling through growth and acquisitions, the challenge becomes exponential. Manual processes simply do not scale. The more contracts that flow in, the longer the queues grow, and the more risk the business absorbs with every delayed review.

Meet Instructure

Instructure is the company behind Canvas, one of the most widely used learning management systems in the world. Students, educators, and administrators across multiple continents rely on Canvas for online coursework, assignments, and assessments. Headquartered in Salt Lake City with roughly 2,000 employees, Instructure manages approximately $400 million in annual spend. Their AI Masterclass covers the team's use of Task Agents to reduce Contract Review time.

The Challenge: Starting from Zero in a $400 Million Organization

When Vicki Munson joined Instructure as Director of Procurement in Q4 2024, there was no procurement team. The accounts payable department was processing requisitions and contract requests. Employees across the organization were negotiating their own terms. Legal was handling every contract review.

"It was literally like the wild, wild west," Vicki explained. "A lot of individuals were negotiating their own terms. They were utilizing legal for every contract review."

The results were predictable. Legal turnaround times stretched from one to four months, sometimes longer. Nothing was automated. The process was manual, lengthy, and time consuming, with a large volume of contracts and statements of work flowing through without a consistent workflow.

Vicki was brought on to build the procurement function from the ground up, and she needed a way to make a team of three operate like a much larger team.

The Turning Point: Task Agents in Action

Vicki and her team worked with Libby Sestak, Senior Principal of AI and Solutions at Levelpath, to identify where AI could eliminate the most repetitive work. The first opportunity was obvious: contract review.

"I provided Libby with a list of Agents that I want to run through some of our contracts so that they can automatically identify problematic areas, areas of concern, risk areas," Vicki said.

The first set of Task Agents focused on two critical workflows. The MSA review Agent compares master service agreements against Instructure's internal playbook, identifying deviations and flagging risky clauses. The SOW checklist Agent analyzes statements of work to verify that all required components are present, from supplier legal name to termination for convenience clauses.

The shift was immediate. Where Vicki previously had to open each contract, read through everything line by line, and manually check her playbook against the document, the Task Agent now delivers a structured report in minutes. Red flags are highlighted. Missing terms are called out. Vicki steps in as the strategic decision maker rather than the manual reviewer.

"I can have my results literally within a couple of minutes," Vicki said. "Do I still look at it? Of course, I still do, just for my own peace of mind. However, the Task Agents have been spot on. We are not noticing any issues, any misses of any kind."

The second shift came when one of Vicki's team members raised a challenge that no amount of manual effort could solve efficiently: contracts arriving in Japanese. The team does not read Japanese, and sending agreements out for translation added time and complexity to every review.

Levelpath's contract translation Task Agent now translates contracts across more than 100 languages directly within the platform. Tables, clauses, and terms are recreated in the target language without leaving the tool. The team can even ask questions in English about a contract written in another language and receive answers back in English.

Building a Best-in-Class Team at Scale

What makes Instructure's story particularly compelling is not just the time savings. It is the cultural shift. Vicki's team members are now building their own custom Task Agents with no coding and no IT involvement.

"They are very excited about it," Vicki said of her team's adoption of the Agent builder.

Levelpath's no-code Agent library allows any user to create, name, and publish a Task Agent by simply writing instructions in plain language. Reference materials like contract playbooks or example outputs can be attached to help the Agent mimic a specific format or tone. The entire process takes minutes.

This self-service capability is what allows a team of three to operate with the throughput of a much larger department. Year to date, Vicki has reviewed approximately 260 contracts in 2026. Her established SLA is five business days, and the team frequently delivers even faster.

End user satisfaction has improved measurably. "We send out surveys every year," Vicki explained. "First one, not so great. Second one, much better."

Why AI Agents Matter for Procurement

The story at Instructure illustrates a broader truth about procurement operations: the function has historically been reactive. Contracts come in, requests pile up, and the team spends its time processing rather than advising. AI Agents do not replace the judgment, relationships, or strategic thinking that procurement professionals bring. They remove the slow, manual work that prevents those professionals from doing their best work.

For Vicki, that means her team is moving away from process and toward strategy. Instructure is looking at growth and acquisitions, and the procurement function needs to scale with the business. Levelpath's AI-native architecture, powered by its Hyperbridge reasoning engine, gives the team a foundation that grows with them.

"In order for us to become a best-in-class company and procurement team, we have to get there," Vicki said. "This is also allowing us to become scalable because we are looking at growth, we are looking at acquisitions, and I was really looking for something to help us get to that next level."

Your Next Step

AI-native procurement is not a future concept. It is the operational reality for teams like Instructure today.

To see how Levelpath Task Agents can transform your contract review process, request a demo or explore the full AI Masterclass series for more customer stories.

– Rose