Success story
Community Transport Provider
Every volunteer match was worked out by hand, which slowed the service as demand grew.
- Client
- Community Transport Provider
- Industry
- Not-for-profit
- Technologies
- Copilot Studio, Microsoft 365
This client is a not-for-profit provider of community transport, home care and social support services, helping older people and those with additional needs stay independent along Australia’s eastern seaboard.
The challenge
The client matched volunteers to clients by hand, which was slow to scale.
What we did
We built a proof of concept agent in Copilot Studio that suggests ranked matches with clear reasons.
We built a proof of concept agent to take the guesswork out of volunteer matching.
What this involved
- Built the agent in Copilot Studio using anonymised data.
- Analysed volunteer and client details like distance, interests and availability.
- Produced ranked match recommendations.
- Gave a clear reason for each suggested match.
- Ran it securely inside the client’s Microsoft 365 environment.
The results
What Community Transport Provider got
Faster, fairer matching
Ranked suggestions instead of hours of manual work
A clear reason for each match
Distance, interests and availability weighed openly
Built to scale safely
Proven securely inside their Microsoft 365 environment
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