Case study
Scrum Master Agents inside a regulated insuretech
Context
Delivery management is full of repeatable coordination work: running standups, tracking where a sprint actually is, and keeping workflows moving. It is necessary, it is time-consuming, and it pulls senior people away from building.
In a regulated insuretech, we put AI agents on that work, operating alongside the human engineering teams rather than replacing them.
What we built
Agents that run standups, gathering and surfacing what each part of the team is doing so the ceremony adds information instead of taking time.
Sprint-progress tracking that keeps an accurate, current picture of where delivery stands, so blockers and slippage show up while there is still time to act on them.
Delivery-workflow management, where the agents handle the routine coordination that keeps a sprint moving, working alongside the engineers rather than around them.
An agent design fit for a regulated environment, where the work has to be reviewable and the agents support the human team rather than make unaccountable calls.
Outcome
The Scrum Master Agents run delivery-management work inside a regulated insuretech, alongside the human engineering teams. It shows AI agents doing useful operational work in exactly the kind of setting where trust, oversight, and accountability are not optional.
It is also the clearest signal of where we are most at home: regulated environments, where an agent has to fit the controls and the culture of the team it joins, not just the task in front of it.
“These agents run inside a regulated insuretech, alongside the engineers. They take the coordination work, the team keeps building.”
Built with: AI agents for standups, sprint tracking, and delivery-workflow management, operating in a regulated insuretech alongside human engineering teams.