Building AI Agents for Innovation
AI Training
AI Training
AI Training
Client
HCF
Industry
Health Insurance
HCF is Australia's largest not-for-profit health fund. CoAligned delivered a hands-on training session for their innovation team, teaching participants to build functional AI agents using n8n. The session centred on a practical use case: a "Health Tech Digest" agent that reads relevant research topics, searches the web for high-quality news sources, and drafts a formatted summary email ready for distribution.
HCF is Australia's largest not-for-profit health fund. CoAligned delivered a hands-on training session for their innovation team, teaching participants to build functional AI agents using n8n. The session centred on a practical use case: a "Health Tech Digest" agent that reads relevant research topics, searches the web for high-quality news sources, and drafts a formatted summary email ready for distribution.
HCF is Australia's largest not-for-profit health fund. CoAligned delivered a hands-on training session for their innovation team, teaching participants to build functional AI agents using n8n. The session centred on a practical use case: a "Health Tech Digest" agent that reads relevant research topics, searches the web for high-quality news sources, and drafts a formatted summary email ready for distribution.
8 innovation team members trained
to build AI agents independently
8 innovation team members trained
to build AI agents independently
with a working agent prototype
created by every participant that they can use and build on in future.
with a working agent prototype
created by every participant that they can use and build on in future.
and an enterprise ready approach
using secure, low-code tools.
and an enterprise ready approach
using secure, low-code tools.
The opportunity
Innovation teams inside large organisations face a particular challenge: they need to move fast enough to explore emerging technology, but work within the constraints of enterprise security and governance.
The team were interested in learning how to build AI agents without a background in coding: systems that could reason through a task, use tools to gather information, and take action without constant human input. This kind of capability could substantially augment the value delivered by the team while reducing the need for manual effort. For example, researching and staying across health technology trends requires hours of searching and scanning, and the insights often sit in individual inboxes rather than flow through to the teams who need them.
Innovation teams inside large organisations face a particular challenge: they need to move fast enough to explore emerging technology, but work within the constraints of enterprise security and governance.
The team were interested in learning how to build AI agents without a background in coding: systems that could reason through a task, use tools to gather information, and take action without constant human input. This kind of capability could substantially augment the value delivered by the team while reducing the need for manual effort. For example, researching and staying across health technology trends requires hours of searching and scanning, and the insights often sit in individual inboxes rather than flow through to the teams who need them.
Innovation teams inside large organisations face a particular challenge: they need to move fast enough to explore emerging technology, but work within the constraints of enterprise security and governance.
The team were interested in learning how to build AI agents without a background in coding: systems that could reason through a task, use tools to gather information, and take action without constant human input. This kind of capability could substantially augment the value delivered by the team while reducing the need for manual effort. For example, researching and staying across health technology trends requires hours of searching and scanning, and the insights often sit in individual inboxes rather than flow through to the teams who need them.