What would a credible 10× improvement in an ERP workflow look like?

A productivity claim needs a defined task, a baseline and a comparable result. An AI-enabled platform may sharply reduce the human work in a repetitive process, but the size of the improvement has to be measured for that process.

The most useful question is how much human effort is needed to complete the same work at an acceptable level of quality. That includes reviewing exceptions and correcting errors, not only the time the agent takes to produce an output.

Define the unit of work

Choose a completed outcome: a supplier document accepted and connected to an order, a payment reconciled, a correct offer sent or a delivery exception resolved.

Record where the task starts and ends. If the old process ends with an accepted record, the new process should be measured to the same point. Comparing manual completion with an AI draft would exclude the remaining review work.

Also define the task mix. Clean digital invoices and poor scans may require very different levels of effort. Include both if both occur in normal operation.

Count all the human handling

Measure time spent opening and reading information, entering data, matching records, checking the result, resolving exceptions and fixing errors. Include work performed by other teams when it is part of the same outcome.

Keep human handling time separate from elapsed time. A process can require little staff effort while waiting for an external response. Reducing one does not automatically reduce the other.

The distinction helps identify the benefit: capacity released within the team, faster turnaround for the customer or both.

Use multipliers with a clear denominator

Here is an illustrative calculation, not a Perspective Unity or China Motor result. If comparable completed tasks previously required an average of 20 minutes of human handling and now require 2 minutes, that is a 10× ratio in handling time. At 1 minute, it would be 20×.

That does not establish a 10× increase in the productivity of the whole company. The workflow may be one part of a person's day, and other constraints may limit throughput.

Report the number of tasks measured, the observation period and the quality criteria alongside any multiplier. Use an average that includes exceptions and show the distribution where difficult cases matter.

Include the cost of running the automation

Review and correction effort are only part of the picture. The operating model also includes model usage, software and infrastructure, support and maintenance of integrations or robots.

A change in a supplier document or an external interface can create new work. A credible assessment accounts for the effort needed to keep the process reliable, as well as the initial improvement.

Describe what the released capacity enables

An operations team may use the time for more customer conversations, faster exception resolution, better planning or increased transaction volume. Those outcomes can be more meaningful than a generic claim about replacing administrative staff.

Experienced specialists still need to manage unusual cases and consequential decisions. The objective is to reduce the repetitive handling that prevents them from applying that expertise where it matters.

Set up measurement with the first workflow

Agree the baseline, quality checks and observation period before the pilot. Then compare the same scope once the new process is in regular use. Distinguish measured results from expected improvements when reporting them.

Discuss a measurable first workflow with Perspective Unity. We can help define the operational result and the evidence needed to assess it.

Written by the Perspective Unity team. Workflow diagrams are editorial illustrations.