AI Strategy
A strategy-led AI agency engagement that identifies the right use cases, prioritizes the highest-impact workflows, and turns scattered ideas into an executable plan.
Client
Orbit Ops
Industry
AI Strategy
Service
AI Strategy & Roadmapping
Timeline
7 weeks to live
Team Involved
3 operators, 1 ops lead
Orbit Ops’s operations team coordinated handoffs across scheduling, procurement, and delivery systems that were never designed to share context. Small delays compounded before anyone owned the problem.
Managers spent hours reconciling status updates and chasing exceptions instead of improving the process behind them.
AETHER connected the operational signals and created an agent that identifies stalled work, checks the likely cause, and alerts the responsible owner with a recommended action.
The workflow keeps existing tools in place while removing the manual status checks that slowed every handoff.
Unplanned downtime fell by nearly half and on-time delivery improved across the first rollout. The team now sees exceptions early enough to recover without a full escalation.
The savings came from fewer preventable delays and a clearer operating rhythm, not from adding another dashboard for managers to maintain.
Oliver Grant
VP of Operations
How long does a typical AI project take?
Most projects take 5–7 weeks from discovery to go-live. A focused pilot can start in 1–2 weeks, while larger multi-workflow rollouts are typically delivered in 2–3 week phases.
Do we need our own AI or tech team?
What happens if the AI gets something wrong?
How soon can we start working on our AI project?
(Newsletter)