AI & automation
Automate one task, then measure what changes.
A simple method to start with a useful process and results you can verify.
Useful automation addresses an identifiable task. Starting with a limited process makes it easier to verify its reliability and value before going further.
Choose a specific use case
Describe the current task: what triggers it, the data used, decisions made and expected outcome. Identify repetitive steps and cases that require judgment.
Define the checks
Plan what a person must validate, what happens when data is missing and how to correct an error. An AI tool can produce inaccurate answers: its results must be evaluated for the intended use.
Limit the data needed
Check which information really needs to be sent to an external service. Access, sensitive data and retention rules are part of defining the project.
Compare before and after
Measure processing time, necessary corrections and the quality of the result. These observations help you decide whether to adjust, expand or stop the automation.
A good first project: a regular task, a defined scope and a result your team can check.
To learn more: NIST’s AI Risk Management Framework.
Have a project in mind?
Let’s talk about your needs.
A clear conversation to define the next steps.