Batch Processing vs Manual Remediation: A Time and Cost Comparison
Compare manual and batch workflows using total accepted-output time, review requirements and actual quotes. Worked numbers are hypothetical, not customer results.
Batch processing can reduce repeated handling, while a trained remediator can resolve context that software cannot determine. Which workflow saves time depends on the files, tools, acceptance criteria and available staff. Measure the complete process rather than comparing software run time with fully reviewed manual output.
Compare the same deliverable
For both workflows, define the required format and checks. Record preparation, processing, review, correction, failed inputs, manual fallback and publishing. Include structure, reading order, table relationships, content preservation and meaningful alternatives. A manual editor does not guarantee a correct result; an automated pass does not either.
A hypothetical 100-document trial
These figures are assumptions for demonstrating the calculation, not an Aelira benchmark or customer result.
- Manual workflow: 45 minutes per accepted document gives 75 staff hours.
- Assisted workflow: 5 minutes preparation, 15 minutes review and 10 minutes corrections per document gives 50 staff hours.
- Under those assumptions, staff time falls by 25 hours, or one third.
If review and correction instead average 45 minutes, the assisted workflow takes more staff time than the manual baseline. Processing capacity also depends on hardware, queue limits, provider availability and input complexity. The trial should report both successful and unsuccessful inputs.
Calculate cost from actual terms
Multiply staff hours by the institution's loaded labor rate. Add software, provider usage, infrastructure, procurement, training and external assurance. Obtain written quotes for outsourced work and compare their included checks and rework terms. Do not apply an unverified industry per-document price to every file.
Choose a workflow by evidence
Use source-authoring changes for new material where practical. Use specialist remediation for difficult or consequential content. Evaluate batch assistance on representative authorized files, including complex and unsupported cases. Review structure as well as generated descriptions; an unflagged item is not automatically correct.
Aelira Core is beta software. Supported workflows can apply eligible partial fixes and record outcomes, but some inputs need manual work or cannot produce a downloadable remediated file. Review the actual saved output, unresolved findings and content preservation before publication. Automated scores describe implemented checks rather than accessibility conformance. Inspect the public source and release documentation and evaluate a representative authorized sample before planning a rollout.
For paid Aelira services, refer to current US pricing or Australian pricing and obtain a quote for the required scope. Core's license fee is not the total operating cost.

RD (Reg) Crampton
•Founder & CEOFounder, CEO & lead developer of Aelira. Building beta tools to help faculty and accessibility teams check materials and evaluate suggested fixes, with human review required.
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