Lisbon 38.7223° N, 9.1393° W · Lisbon 38.72° N 9.14° W
day 00123456day 7, in production7
daysday 7, in production
Illustration: the same process drawn over and over, like a trace on an oscilloscope. At day 0 the runs scatter; by day 7 they settle into one precise line.
Revenue Precision is an applied-AI studio in Lisbon. Bring us one business problem, such as ERP lookups on WhatsApp, a brief before every sales call or a morning finance summary. Seven days later it runs in production.
Filipe Brigas and Samuel Verhegge founded Revenue Precision after years of building outbound and revenue systems for B2B teams. Now the studio builds AI into the systems companies already run, one problem at a time, in production in a week.
Studio
Lisbon
Own products live
4
On day 7
In your team's hands
fig. 1, operations01 / 08 energy00:00.0
Live now
Our products, in production.
Four are live today, each on its own domain, built and run by the team that builds yours. Open any of them and look around.
ch1
Call Emily
Voice agent
alta_p · sales · last week
€14,230
MTWTFSS
▲ 12% vs prior week · peak Thu
Example call · WhatsApp · 08:1200:11
Donequery_erp · 1.2s
You
HowwereAltaP’ssaleslastweek?
Emily
€14,230—up12%ontheweekbefore.BestdaywasThursday.
You: How were Alta P’s sales last week? Emily (query_erp): €14,230 — up 12% on the week before. Best day was Thursday.
You: Anything I should know before Norte Textiles? Emily (read_deals): Margin is 4% under target, and one invoice is 22 days overdue.
You: Send Norte Textiles the revised quote. Emily (draft_email): Drafted — the revised quote, €46K. Shall I send it?
You: Book Quinta do Vale for Friday at nine. Emily (schedule_meeting): Booked — Friday, 09:00. Your briefing will be ready that morning.
Your team asks out loud. Emily answers from live ERP data, reads and drafts email, and books or moves calendar entries.
Milk-collection logistics, proved to the second: a driver app that works without signal, a live fleet dashboard, and every litre traceable to a collection.
Sales intelligence layer for a private distributor
A 40-person distribution company kept 12 years of sales history in ERP exports and spreadsheets, and its reps prepared by hand before every client call. We built an AI layer that reads that history and writes each rep a pre-call brief with suggested next actions.
Deployed in
7 days
Sales history read
12 years
Changes to the ERP
None
New logins
None
Preparation time for one client calldrawn to scale
Sales operations strategist who has helped B2B organisations generate more leads with less effort. Featured in Apollo's customer stories for his work with SafetyWing on precision outbound and automation.
Go-to-market strategist working where AI meets revenue operations. Leads Revenue Precision's mission to make sales teams unfairly effective, through structured playbooks, AI-powered workflows and disciplined execution.
Price, your systems, your data, and what happens after day 7.
01How much does it cost?
It depends on the problem and on the systems we need to connect, so we don't publish rates. On the 30-minute call we scope one concrete problem and, before we start, send you a written proposal.
Three moments. On day 1, the person who owns the process agrees the brief with us. On day 2, we need exports or read-only access to the systems involved. On day 5, the people who will use it try it on real work. We do the building in between.
03What happens after day 7?
You have a first version running in production on your own data, used by your team, with the documentation to maintain it. If there is a second phase, it is scoped and quoted separately, with the same method.
04Do we have to change our ERP or other systems?
No. We connect to the systems you already use: your ERP, email, WhatsApp or spreadsheets, usually through their exports or with read-only access. In the measured build, the ERP was not changed and nobody needed a new login.
05Where is our data kept?
We operate under the GDPR, and the data our systems store is hosted in the EU.
06Is this for smaller companies?
Yes. The method is built for small and mid-sized companies: one concrete problem, one week, one working system. The distributor in the measured build has 40 people.
Samuel Verhegge
