Not a tool you hand your team and hope they use. Put one real job on AI, watch it run with your people in control, and see where it pays off.
Pick where to start. Recorded runs of real workflows, with a person in control of every result.
A client status report, pulled together from your own tools. It used to take about two hours.
AI did the work and flagged this against your requirements. You make the call.
Same report. AI handles the build. You handle the judgment call.
That is one workflow running on AI. You scale by doing this on the next job, and the next.
Adjust for your team. This is the savings from this one workflow.
STRIDE Financial. The AI ran on their real client data, not a sample. Their team checked its output against their own work and confirmed it was accurate before they relied on it for real client reporting. Two hours of work, done in five minutes.
This is how adoption works at Cylentra: put one workflow on AI, prove it with your team in control, then scale to the next. Book a call and we'll find your first one.
Book a call