🇬🇧 #1|🌍 Top 4
Certified Specialists
Solutions Provider
🇬🇧 #1|🌍 Top 4
Certified Specialists
Solutions Provider
Orchestra (Hugo Lu) reached roughly 94% forecast accuracy and cut manual data entry by around 60%, on an owned RevOps engine we built and handed over. The system producing the forecast is theirs outright.
Attio stays the system of record. Clay does the enrichment, signal detection and validation. The two reconcile to each other on a schedule, so the data underneath the forecast stays current without anyone touching it. Bi-directional · 7 Clay tables · 7 Attio workflows · reconciles nightly.
Orchestra's forecast was only as good as the data underneath it, and that data was kept current by hand. Reps and ops spent real time on entry and reconciliation, and the forecast still drifted from reality. The leak wasn't effort. It was the absence of a system that kept the data trustworthy on its own.
We found which signals in their own data actually predicted a close, then engineered the system around it: hygiene and enrichment that maintain themselves, scoring and attribution wired source to closed-won, reconciled to the CRM. Built on Orchestra's own numbers, proven before payment.
Manual entry fell around 60% and forecast accuracy reached roughly 94%. The system producing the number is theirs, and it keeps reconciling whether we're in the room or not.
The engine is live, owned by Orchestra, and reconciling without us. Attio and Clay talk to each other on a schedule, forecast accuracy holds, and no one touches a spreadsheet.
The team helped us identify easy-win areas for enriching our data, gave us workflows in a scalable way. Now we have an awesome partner who gets what a scale-up needs.Hugo Lu · CEO, Orchestra
