Check pilot effect and cost

This diagnosis connects value, effort, data quality, and risks into a first cost view.

Value Effort Data Risk

What is clarified?

It checks time loss, mistake cost, data quality, integrations, and support needs.

Time

Time is described as a separate step: input, data source, rule, result, and possible stop point.

Mistake

Mistake is described as a separate step: input, data source, rule, result, and possible stop point.

Data

Data is described as a separate step: input, data source, rule, result, and possible stop point.

Systems

Systems is described as a separate step: input, data source, rule, result, and possible stop point.

Support

Support is described as a separate step: input, data source, rule, result, and possible stop point.

Effect

Effect is described as a separate step: input, data source, rule, result, and possible stop point.

How does the process work?

The pilot is limited so effort and result can be compared.

01

Diagnosis

One narrow work area is chosen and checked with real examples.

02

Process map

Inputs, data, rules, roles, and exceptions are made visible.

03

Test run

A small prototype shows whether automation works in daily operations.

04

Operation

The flow receives limits, approvals, logs, and clear ownership.

Where does control stay?

Cost-relevant risks and approvals become visible early.

Value Effort Data Risk

FAQ

Start with a repeated process where time, money, or control is visibly lost.

No. The first step can focus on one clear process and the most important data sources.

It organizes information, prepares text or decisions, and shows open points.

A person decides on exceptions, risks, approvals, and all cases marked as critical.

Check pilot value

The diagnosis shows whether the expected effect justifies a first pilot.

Start diagnosis