Sample Course An illustrative course built inside CMP: a product walkthrough, not the marketing site.
Higher Education · Built in CMP
COUN101

Addiction Counseling

A complete, faculty-governed course, shown here with the accreditation evidence and approval trail it produces. CMP is governance infrastructure, not a course generator: the AI drafts to your standards; your faculty review, refine, and approve.

Every course
Produces its own evidence
The Governance Pipeline

The pipeline is the product.
Courses are what it produces.

Every course runs through a controlled workflow. Nothing advances without deliberate approval at each stage, so what comes out is a course with a complete institutional record already attached.

1
Configure

Faculty define the parameters: mission, standards, program outcomes. The AI builds to what your faculty give it, not a template.

2
Generate

The AI drafts the structure (outcomes, modules, assessments, rubrics), peer-benchmarked against comparable programs.

3
Review

Faculty of record revise and approve every outcome and assessment. Nothing advances without their sign-off.

4
Approve

The course routes through your existing curriculum committee. Every approval is timestamped and logged.

5
Deploy

One click from approved to your LMS: the course and its full record preserved together. No export.

Inside CMP

The governance record builds itself.

This is the COUN101 record as it appears in CMP, generated automatically as the course moved through the pipeline, owned by your institution.

COUN101 / governance
Design
Content
Governance
Change Log
Pipeline

Governance Record: COUN101

5 of 6 stages complete
Generated automatically · owned by your institution
Course design complete: 10 outcomes confirmed
Peer benchmarking, gap analysis, Bloom's mapping and workload verification complete. Faculty approved the design before content generation began.
Jun 3, 2026 · 9:44 AM · Faculty of Record
Content generated: 5 modules
Modules, assessments and rubrics produced from the faculty-approved spec. OER references assigned (SAMHSA, NIDA, OpenStax).
Jun 3, 2026 · 10:02 AM
Outcome 5 revised: Faculty of Record (LPC-S)
Person-centered language strengthened to specify stage-of-change and client-values framing. Version 1.1 auto-archived.
Jun 3, 2026 · 2:18 PM
Submitted to curriculum committee
“All outcomes reviewed. Peer benchmarking on file. OER citations verified.”
Jun 3, 2026 · 4:10 PM · Faculty of Record
Approved by curriculum committee
“Outcomes are rigorous, scaffolded across Bloom's levels, OER alignment confirmed.” (Program Chair)
Jun 4, 2026 · 11:30 AM · Program Chair
Deploy to LMS
Pending: one click from live. No export, no manual upload.
The Distinction That Matters

What the AI does. What faculty do.

A course generator replaces faculty judgment. CMP deploys it. That is the difference between AI-generated content reviewed by faculty, and a faculty-authored course supported by AI infrastructure.

The AI's role

The structural work faculty shouldn't have to do.

  • Generate a complete course structure from stated parameters
  • Benchmark outcomes against comparable peer programs
  • Map every outcome to Bloom's taxonomy levels
  • Align assessments to outcomes and verify the mapping
  • Flag coverage gaps relative to peer programs
Faculty's role

Every decision that requires disciplinary expertise.

  • Judge whether the draft reflects their scholarly standards
  • Revise outcomes, assessments and content to their pedagogy
  • Accept or reject peer-benchmarking recommendations
  • Add gap-closing outcomes from their own judgment
  • Approve the final course, and own it entirely
The course that comes out is a faculty-authored course supported by AI infrastructure, not an AI-generated course reviewed by faculty. That distinction matters to your curriculum committee, your accreditor, and your students.
The Pipeline in Practice

COUN101: peer analysis on the record.

Course Learning Outcomes (10)

Undergraduate · 5 modules · 5 credit hours · OER: zero textbook cost. 7 original outcomes · 3 added by faculty after peer analysis.
5Peer programs benchmarked
3Coverage gaps identified & added
1Define the biological, psychological, and social models of addiction using current DSM-5-TR criteria.
2Explain the stages of addiction development and recovery, including the neurological mechanisms of dependence.
3Apply evidence-based screening tools (CAGE, AUDIT, DAST) to identify individuals at risk.
4Analyze the ethical and legal responsibilities of addiction counselors, including federal confidentiality law.
5Develop a person-centered treatment plan integrating motivational interviewing and harm-reduction strategies.
6Evaluate CBT, 12-step facilitation, and medication-assisted treatment for diverse client populations.
7Compare cultural, racial, and socioeconomic factors that inform culturally responsive practice.
8Describe relapse-prevention strategies, including Marlatt's cognitive-behavioral model.Added after peer analysis
9Distinguish co-occurring disorders and explain integrated dual-diagnosis treatment.Added after peer analysis
10Apply family-systems theory, including codependency and family recovery support.Added after peer analysis
Outcomes 8–10 were added by faculty after the peer-benchmarking report: relapse prevention, co-occurring disorders, and family systems each appeared in most comparable programs but were absent from the AI's first draft. Three AI-included outcomes were retained as differentiators: federal confidentiality depth, harm reduction as a primary strategy, and neurological mechanisms of dependence.
Faculty Governance · On the Record

Every revision is logged. Every approval is timestamped.

A licensed professional counselor reviews an AI-drafted outcome and makes it reflect their clinical standards. The change is preserved; the rationale is on record.

AI's initial draft: Outcome 5
Develop a person-centered treatment plan that integrates motivational interviewing techniques and harm-reduction strategies for clients with substance use disorders.
After faculty revision
Develop a person-centered treatment plan integrating motivational interviewing and harm reduction: grounding clinical decisions in the client's expressed values, cultural context, and stage of change rather than in program requirements or counselor preference.
“The original was technically correct but clinically thin.” Faculty of Record, LPC-S

See the pipeline run for your curriculum.

Bring a course code and your program's standards. We'll work through it live: your outcomes, your faculty's parameters, your governance process.

Request a Live Demo ← Back to lumnitek.com
Illustrative example: COUN101, June 2026. Content Manager Pro™ · LumniTEK.