Start with the cost of the current workflow

The first question is not what an AI tool costs. The first question is what the current process consumes today. A useful baseline includes staff handling time, review time, rework, waiting between hand-offs and the effort required to prepare downstream files or system updates.

For Singapore SMEs, this keeps the business case grounded in work that can be measured rather than in broad claims about AI productivity.

Current volumeMinutes per recordReview and reworkMonthly staff effort

Use a simple workload calculation

A practical starting formula is monthly records multiplied by average handling minutes per record. Divide the result by 60 to estimate the current monthly handling hours.

For example, 500 records handled for five minutes each equal about 42 staff hours before adding exception work or secondary review. The purpose of the calculation is to establish a baseline that can be measured again during a pilot.

500 records5 minutes each2,500 minutesAbout 42 hours

Separate repetitive handling from human decisions

Not every minute should be treated as automatable. Data entry, document classification, routine validation, file generation and notifications are different from quality release, commercial approval, accounting approval or technical judgment.

A realistic ROI model estimates which repetitive steps can be automated while preserving the review time that the business still needs.

Measure the value of one controlled document workflow

In a tested Micro AI document workflow, one 40-page multi-record PDF generated 40 Excel files, 40 XML files, 40 CSV files and 40 JSON files: 160 structured files in total. The tested batch completed in under 10 minutes with 99.5% extraction accuracy under the tested document conditions.

The larger figures below are output-count calculations only. Processing time and accuracy for 100, 500 or 1,000 pages must be tested separately using representative files and the actual production rules.

Source PDFExtractValidateHuman reviewStructured outputs
  • 40 pages x 4 approved output formats = 160 files
  • 100 pages x 4 formats = 400 files
  • 500 pages x 4 formats = 2,000 files
  • 1,000 pages x 4 formats = 4,000 files

Include exception handling in the ROI model

A workflow with a high exception rate can still create value, but the business case should include the time employees spend reviewing unclear scans, missing fields, mismatches and unusual cases.

A good pilot records why each exception occurred. That makes it possible to distinguish source-data problems from workflow-design problems and improve the process after launch.

What should be included in an automation proposal

Comparing proposals is easier when each provider explains the same operating assumptions. A lower headline number is not automatically better if the proposal excludes exception handling, validation, integration or ongoing operational support.

  • The exact workflow and process boundary
  • Expected input volume and document variation
  • Systems, folders, APIs and access dependencies
  • Validation rules and human-review responsibilities
  • Acceptance criteria for accuracy, completeness and output parity
  • Ongoing monitoring, support and change-management responsibilities

Use measurable success criteria before scaling

The strongest ROI case is a before-and-after comparison on a real process. If the workflow does not improve the agreed measures, the business should know that before expanding the automation.

  • Staff handling hours before and after the pilot
  • Elapsed processing time
  • Field-level accuracy for business-critical values
  • Exception and correction rates
  • Output completeness and template parity
  • Number of manual hand-offs removed