What happened
The Australian Government ran a six-month trial of Microsoft 365 Copilot, a generative AI assistant, across its public service from January to June 2024. Agencies nominated staff for more than 5,765 licenses, so the trial was not randomized. The Digital Transformation Agency, which coordinated the trial, engaged Nous Group to evaluate it. The evaluators ran surveys before, during and after use and held interviews and focus groups. Participants perceived time savings of around an hour a day on summaries, first drafts and information searches. Of survey respondents, 69% agreed that Copilot improved the speed of their work and 61% that it improved its quality. Around 65% of managers observed a productivity uplift in their team. Only a third of participants used Copilot daily. Up to 7% reported that it added time, and its inaccuracy reduced the gains. The figures are self-assessed, and the evaluators warn that they may overstate or understate the benefit.
Sources
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Evaluation report, by an evaluator that the makers or users commissioned.
Improvements in efficiency and quality were perceived to occur in a few tasks with perceived time savings of around an hour a day for these tasks.
Details
AI system
- Workflow
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Agencies nominated staff for more than 5,765 licenses between January and June 2024. Copilot worked inside Microsoft 365 applications that staff already used, mainly Teams and Word. Staff who received three or more forms of training were more confident in using it.
Follow-up
- Conditions for replication
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Agencies must configure their information systems and permissions to accommodate Copilot safely. Staff must check Copilot's output, since its inaccuracy can cancel the time saved.
Entry details
- Sector
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Public administration.
- Purpose
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Microsoft built Microsoft 365 Copilot to draft, summarize and search content inside Microsoft 365 applications.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Australian public servants perceive time saved with Copilot (AIBD-0881). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0881.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)