01
Effectiveness
Does it move the top line — smarter recommendations, more conversion, more value per interaction?
How we work
Value first. Always.
We don't start with the model. We start with the money — where AI can move a real number — and work backwards to a system your teams actually use. The same disciplined engine, in any domain.
01The method
Four steps from idea to running system.
01
Diagnose · Anchor to the money
Every candidate use case is scored against a measurable revenue KPI — uplift, volume, distribution, margin — and ranked by business value, point of execution and data confidence. We prioritise value over efficiency: the decision that moves a number beats the task that merely saves time. We set the baseline to beat, prioritise the short list worth automating, and give an honest go / no-go. We build what pays.
02
Build · Prove it on your data
The agent is built on your stack and your real data — not a generic demo — for rapid deployment, with no rip-and-replace and no clean-room science project. It is proven in a live environment, on real cases, from day one — so you get proof, not a prototype.
03
Deploy · Engineer the adoption
The agent becomes an intelligent layer inside the daily routine, not another app to log into — the insight lands where the work happens. We roll out by cohort, pilot with high-performing champions whose endorsement drives organic adoption, and partner with frontline sales leaders to make it stick.
04
Operate & prove · Show the $, then widen
The step most vendors skip. We run it in production, measure the dollar impact against a control, and stay for the difficult second year — managing adoption, drift and the operating model that holds the gain. The value metrics then chart where it scales next.
02Four pillars of value
Every build is judged on four things.
02
Efficiency
Does it free your people from manual work so they cover more, faster?
03
Adoption
Will people actually use it? Designed to feel like a natural extension of the workflow.
04
Output quality
Can it be trusted? Continuous refinement to keep answers accurate, consistent and trustworthy.
FAQStraight answers
Asked by every exec. Answered straight.
01What does Value-First actually mean?
We prioritise value over efficiency: the decision that moves a P&L number beats the task that merely saves time. Every use case is ranked by business value, point of execution and data confidence before anything is built — and gets a baseline to beat plus an honest go / no-go.
02What are the four steps?
Diagnose — anchor every use case to the money and set the baseline. Build — prove it on your data, on real cases. Deploy — embed in the daily workflow and engineer adoption. Operate & prove — run it in production, show the result against baseline, then widen.
03Who does the work day to day?
Senior practitioners only. Relay360 is deliberately small — eight seniors, no bench — so the people who diagnose your case are the people who build, deploy and operate it. No handoff to a delivery team you have never met.
04How do you prove it worked?
Against the baseline set in Diagnose. We operate the system in production, measure the result on the number it was anchored to, and report it straight — if it does not beat the baseline, you hear that too. Show the value first, then widen the footprint.