Consensus AI
NEW . FOR HIGHER EDUCATION
Better courses,
checked with
confidence.
ConsensusAI uses two independent AI models to check every course against your own quality standards. Sensitive content stays protected, and your people make the final call.
TWO INDEPENDENT AI MODELS
STRUCTURE ONLY, NEVER STUDENT WORK
PEOPLE MAKE THE FINAL CALL
RUNS IN YOUR OWN ACCOUNTS
WHY HIGHER EDUCATION
Course reviews shouldn’t take time away from teaching.
Colleges and universities must review courses against demanding quality standards, and much of that work is still manual. These checks consume time from faculty, instructional designers and academic quality teams.
Every course has to be checked and documented, again and again. The work is repetitive, and it adds up.
Reviews pile up
01
AI is only useful if student submissions and instructor-authored material stay where they belong.
Sensitive content must stay protected
02
A single model can be confidently wrong. Institutions need a second check, and a person who decides.
One AI’s opinion isn’t enough
03
WHAT CONSENSUSAI DOES
Checks every course against your own standards.
ConsensusAI looks at how a course is built, such as whether the expected assignments and quizzes are in place, and compares it with your institution’s quality rubric. It identifies what is missing, flags what needs attention, and records the reasoning behind each assessment.
YOUR RUBRIC, YOUR CRITERIA.
Expected assignments are in place
Quizzes are present
Required course elements are complete
Anything unclear goes to a person
WHO IT'S FOR
Built for the people who keep courses on track.
Run consistent completeness checks against your own rubric, and keep a documented record of every finding.
Academic quality teams
See exactly what is missing from a course, so your time goes to fixing gaps instead of hunting for them.
Instructional designers
Get clear, specific feedback on how a course is set up. Student submissions and your own materials are not part of the check.
Faculty
Review a clear boundary: read-only access, structure only, and system credentials kept away from the AI.
IT and security teams
HOW IT WORKS
From your course system to a result you can trust.
Your course system
SOURCE
Structure only
READ-ONLY ACCESS
Two independent AI models
CHECK TWICE
Your reports and reviewers
RESULT
01. ACCESS SAFELY
ConsensusAI reads structural information only, through scoped, read-only access. Production credentials stay outside the model layer.
02. CHECK TWICE
Two independent AI models evaluate each course against your rubric. When they agree, findings move on to reporting. When they disagree, a person reviews.
03. TRACE EVERY FINDING
Results appear in the reporting tools you already use, with both models’ rationale kept, so reviewers can trace each finding to a specific rubric criterion.
HUMAN OVERSIGHT
You set the rules. People make the final call.
Your institution’s rubric drives every check. ConsensusAI applies your standards, not ours.
You define the criteria
Disagreements and flagged cases go to a human reviewer, under escalation rules your institution sets.
You decide when a person steps in
Academic judgments and accreditation decisions remain with the responsible reviewers and authorities.
Decisions stay with your team
WHAT CHANGES
Less repetitive checking. More time to improve courses.
Consistent standards
Gaps found earlier
Findings you can defend
Every course is checked against the same rubric, in the same way.
Missing assignments, quizzes and other required elements are flagged for follow-up.
Both models’ reasoning is kept, so any result traces back to a specific rubric criterion.
Judgment stays human
Disagreements and flagged cases go to a reviewer, and your team decides when that happens.
GETTING STARTED
One review process, up and running in about 10 to 14 weeks.
Each engagement begins with one defined review process, agreed data boundaries and clear human oversight. It is delivered in your infrastructure and accounts, with operating guidance and training for your team.
1 - 2 WEEKS
1 - 2 WEEKS
3 - 4 WEEKS
2 WEEKS
2 - 4 WEEKS
Discovery
Design
Pilot build
Validate and tune
Hand off
Map your systems, find where your rubric lives, and decide what content must never leave them.
Set the access boundary and the rules for when a person steps in.
Build the workflow end to end for one review process.
Run it alongside your current manual review and tune it on real courses.
Scheduling, monitoring and training, so your team can run it.
Start with a fixed-fee pilot, move to a production build-out, and add a managed service if you want ongoing support as your rubric and policies change.
What you walk away with
A reviewed design for how the system works, stored in your own repository or drive
A secure, read-only connection to your course system, with credentials kept separate
The workflow that runs the two-model checks and handles agreement and disagreement
Results delivered into the reporting tool your team already uses
A runbook covering who owns credentials, when cases escalate, and where the audit trail lives
A handoff and training session for your technical and review teams
BEYOND HIGHER EDUCATION
Built for higher education first. Designed for any review-heavy work.
Contract and policy review
Claims completeness
Vendor security reviews
Editorial and moderation QA
Application completeness
QUESTIONS