A digital tool should make a public service more useful, accessible, reliable or accountable—not simply replace a form with a screen. Introducing technology responsibly means checking who benefits, who might be excluded, what data are involved and who remains answerable for the results.
Define the service problem first
Describe the task, current failure points and intended service outcome. An agency might need to help staff retrieve approved procedures faster or provide clearer application status updates. Compare low-tech process improvements with technology options; a poorly designed workflow does not automatically become effective when it is digitised.
Identify the users and channels
Consider residents, businesses, frontline staff, administrators and people requiring assisted support. Ask whether the tool works with common devices, low connectivity and assistive technologies. Provide an alternative channel when essential services must remain accessible to people unable to use the digital route. Accessibility should be tested during design rather than checked only at the end.
Assess data, law and security
List what information a tool processes, where it is stored, who may access it and how long it is retained. Confirm organisational policies, procurement conditions, cybersecurity review, data protection requirements and applicable legal authority. Do not put confidential case files or personal information into unapproved external tools. For AI systems, consider inaccurate output, bias, explainability and the ability to challenge a consequential decision.
The OECD/UNESCO G7 toolkit describes practical opportunities and ethical considerations for public-sector AI use. It does not provide a substitute for an agency’s own legal, risk and security approvals. OECD public-service principles also call for accessible, transparent and accountable services.
Run an approved pilot
Select a limited, low-risk use case. Set clear success measures before starting: task completion, accessibility, error rates, time, staff workload and user trust. Define who can stop the pilot and how the existing service remains available if the tool fails. Keep human review where rules or material public rights require it.
Observe and learn
Invite diverse users to perform real tasks with safe test data. Record difficulties, unintended effects and support needs. Evaluate security, privacy and operational costs alongside convenience. Do not claim a pilot “transformed” a service merely because a prototype looked promising.
Make governance ongoing
Assign an accountable service owner, change procedure, monitoring process and complaints route. Ensure people know whether they are interacting with automation and how to request help where appropriate.
Your next step: create a one-page responsible-adoption checklist for one potential digital tool. Explore xtraLesson Public content as a capability resource, always subject to local institutional rules.
