
AG Insurance - Putting employees first
Making employee benefits feel like they belong to you.
When AG asked us to shape the next evolution of the app, we started with a question rather than a feature list: who is this app really for? Over a focused discovery track, we spoke with fourteen people inside AG and five of its corporate customers, ran a desirability, feasibility, and viability workshop, and tested our thinking with real users. The answer gave the whole project a clearer center of gravity, and most of the design decisions followed from it.
AG Insurance's perspective
The industry's perspective

Rebuilding the app around the employee's questions and life moments
An internal-first AI journey

A Human-in-the-loop workflow

Reinforced learning through human feedback

Interactive Dashboards

Agentic Workflows

Omnichannel expansion








Not a platform rebuild
The discovery work set two clear boundaries. First, AG doesn't need to become a financial advisor; the opportunity here is clarity, not advice. Second, the first move doesn't depend on the backend. The recommended starting point is a focused carve-out: bring Aggie into the existing app (answers, basic personalisation, and a clean human handoff), validate it with real users, and only then commit to a full rebuild. The guiding principle throughout was simple: a smaller assistant that genuinely helps is worth more than a broad one that disappoints.








Delivering real value
“This project proved that becoming AI-native starts internally. Together with Nimble, we built a system that makes our experts stronger and our service more consistent, while staying rigorous on governance and auditability.”
Catherine De Baets, CIO Attentia


Why internal-first AI?




