Illustrative Example

Illustrative scenario: This institution, its quotes, timeline, costs, and outcomes are fictional planning assumptions, not customer evidence. Automated scores do not establish WCAG conformance; every file requires appropriate human review.

How a Large University Could Achieve STEM Compliance Efficiently

A 25,000-student scenario: How bulk processing and LaTeX support could make STEM accessibility achievable.

25,000

Students

200

STEM courses

4 months

Illustrative planning window

The Challenge: A Large STEM Inventory

In this hypothetical exercise, a university inventories course materials and chooses a four-month evaluation window. These quantities are assumed for planning:

Content Inventory

2,500 PDF lecture notes (mostly scanned)
3,200 PowerPoint presentations
10,000+ LaTeX equations (math, physics, engineering)
800 video lectures (auto-captions only)
1,500 homework assignments

Manual Estimate

12,000+ hours of work
$900K cost (at $75/hr)
18 months with 3 FTE staff
Misses deadline by 14 months

"We were told the deadline was 'non-negotiable.' Manual remediation would take until mid-2027. We needed automation."

Director of Accessibility Services

Why They Chose Aelira

Native LaTeX/MathML source remediation - YuJa and Ally don't remediate native LaTeX source
CLI bulk processing - IT could script entire workflows
AI-assisted fixes - supported partial changes requiring human review

Transparent pricing - $1,499/mo managed department starting price
Local deployment option - Confirm configured providers, fallback behavior, and data handling
Terminal-native - Integrates with existing IT workflows

Implementation: 4-Month Sprint

Month 1: Setup + Pilot

November 2025

Week 1-2: Infrastructure

Installed Aelira CLI on IT department servers
Created bash scripts for bulk processing workflows
Set up automated directory scanning (cron jobs)
Trained 3 IT staff on CLI commands

Week 3-4: Pilot (5 courses)

Processed 250 files (PDFs, PPT, LaTeX)
Automated findings reviewed on every sampled file; unresolved issues recorded
Faculty feedback: "Didn't notice any changes to workflow"
Go-ahead for full rollout

Month 2: Bulk Processing

December 2025

# Illustrative scan commands; confirm your installed release
$ aelira scan pdf /courses/stem/pdfs --format json --output pdf-findings.json
$ aelira scan ppt /courses/stem/slides --format json --output slide-findings.json
$ aelira scan latex /courses/stem/math --format json --output math-findings.json
# Review generated output and unresolved issues before publication

Processed

1,200 PDFs (OCR + structure)
1,500 PowerPoints (contrast + alt text)
4,500 LaTeX equations MathML
50 courses (25% of total)

Time Savings

Automated: 120 hours
Manual review: 300 hours
Total: 420 hours (vs 6,000 manual)
Illustrative labor estimate only; verify with a measured pilot

Month 3: Scaling Up

January 2026

Parallel Processing (5 IT staff)

Each staff member processed 20 courses/week
Total: 100 courses (50% of remaining workload)
Automated: 250 hours, Manual review: 600 hours

Edge Cases Handled

Complex LaTeX packages (ChemFig, TikZ) require manual testing
Scanned PDFs with poor quality - 85% success (manual fallback)
Multi-language content requires language-specific manual review

Month 4: Final Push + QA

February 2026

Remaining Courses

Processed final 50 courses
Priority: High-enrollment courses first
Automated: 100 hours, Review: 200 hours

Quality Assurance

Spot-checked 10% of files (random sample)
Scan findings are review prompts, not compliance scores
3% edge cases fixed manually

Illustrative planning outputs (not results)

Review

All sampled outputs

No conformance outcome is assumed

Pilot

Measure time required

The scenario's hour estimates are assumptions, not measured savings

Compare

Real quotes and staff time

The original scenario totals are not product outcomes

Cost Model to Validate in a Pilot

Manual Remediation (Projected)

Labor (3 FTE × 18 months): $900K
Tooling & licenses: $60K
Training: $20K
Total: $980K
Timeline: Set from applicable obligations and available staff

Aelira (Projected/Illustrative)

Aelira (4 months): $3,996
Labor (3 IT staff part-time): $112K
Server costs: $2K
Total: $118K
Timeline: Measure supported processing and review work

These totals are illustrative assumptions, not a savings forecast or conformance result.

LaTeX support and CLI-based workflows can significantly reduce the time required for STEM accessibility compliance.

Hypothetical scenario showing potential time savings for large STEM departments.