How our team used AWS AI DLC to walk from a customer’s pain to a working prototype — with AI as a full team member.
Two days. One team. Every decision was a conversation — with each other, and with AI.
Alarm Receiving Centers watch homes, buildings, and communities around the clock. Every shift starts with pain that better data alone cannot fix. Three problems keep coming back.
Life-safety alerts get buried under routine events and false alarms.
No one knows who owns which case. Shift handovers are messy.
Performance data can’t be turned into reports for clients or auditors.
The cost: operators spend the shift reading alerts. Real risk waits in the queue.
AI DLC — the AI Development Life Cycle — treats AI as a full team member. Not a code generator, a co-worker: it reasons about specs, asks sharp questions across roles, and consolidates decisions into a checkable plan.
PM writes the customer pain in an open spec — no solutions yet.
AI runs each engineering role through a tailored questionnaire.
AI merges all answers into one spec — conflicts and gaps surfaced.
AI generates a working UI, ready to run and demo.
In short: AI carries the coordination overhead so humans stay on judgment calls.
A working prototype. A real story. And a real trade-off ledger.
Let me show you.
One Cockpit in the middle. Three roles use it every day. It reads from VORTEX and produces reports for the outside world.
One backend feeds three views. Operators care about speed. Supervisors tune the scoring engine. Executives prove the impact. The same data, framed for each job.
Lives in the queue. Knows what to work on next at first glance.
Tunes the scoring engine so the team trusts the ranking.
Reads risk exposure in 5 seconds. Proves impact to clients.
Happy to answer any questions — and to hear how you would run day three.
Q & A