RevBrick · Revenue and AI Operations

01 / WHAT WE DO

We fix how it works. Then AI runs it.

The order matters. Automating a process that does not work only produces mistakes faster.

Less work done by hand

Research, data entry, follow up and reporting all get handled without a person having to drive any of it.

Numbers everyone trusts

Everyone reads the same records, so the forecast, the pipeline and the board deck all say the same thing.

A forecast you believe

When the process is steady and the records are clean, next quarter stops being a guess you have to defend.

A team on better work

Your people spend the time they win back with customers, which is the part no software is going to do for you.

02 / METHODOLOGY

Four phases. Live in month one.

Foundations first, clever things last, because every layer reads from the one beneath it.

Read the full methodology

First two weeks

Find

We go through how your business operates today, the systems, the data and the handoffs, and work out what is costing you the most.

You get: what is broken, ranked by what it costs

Weeks three and four

Design

We agree what the operation should look like and in what order to get there, so the work lands without disrupting the quarter you are in.

You get: the plan, and what each step is worth

From week five

Build

We fix the process and the data first, then layer AI on top of it, proving each piece on real cases before it goes anywhere near the whole team.

You get: it working, and your team using it

Ongoing

Run

A weekly call with the operator who built it. We read what the numbers say, tune what the AI is doing, and decide what is worth doing next.

You get: a system that keeps paying for itself

03 / SERVICES

Two practices, one engine.

Most clients start with one and add the other. Which one you start with depends on what we find in the first two weeks.

Practice 01

Revenue Operations

We take the systems and processes behind your revenue and make them work as one. This is the groundwork everything else stands on.

CRM audit and cleanup. We go through what you already have, find what is broken, duplicated or unused, and put it right.
Revenue attribution. A model that traces a closed deal back to what actually produced it, so you can spend with confidence.
Lead routing and scoring. The right enquiry reaches the right person quickly, with the context already attached.
Pipeline stages and forecasting. Stages that mean one thing to everybody, and a forecast built on evidence.
Handoffs across the business. Marketing to sales to customer success, with nothing dropped in between.
Reporting people actually use. Dashboards your team reads during the month, while there is still time to act.
Framework implementation. The operating model written down, so it survives new hires and new quarters.

OUTPUT · an operation that runs the same way every time

Practice 02

AI Operations

We work out where AI genuinely helps your business, get your data into a state it can use, and then put it to work on the manual heavy lifting.

AI readiness audit. An honest read of how ready your business actually is, and where AI would and would not pay off.
Getting your data ready. AI is only as good as what it reads, so we clean, connect and structure the data first.
Automating the heavy lifting. The research, drafting, data entry, chasing and reporting that eats your team's week.
AI inside the tools you own. It works where your team already works. Nothing new to log into, nothing new to learn.
People where it counts. We decide together what AI handles alone and what a person signs off, then build that in.
Your team trained on it. We show your people how to work with what we built, so it is still being used after we leave.
Kept honest over time. We watch what it gets right and wrong and keep tuning it, because models and businesses both move.

OUTPUT · the manual work handled, the result still yours

04 / PRICING

Two ways to work with us.

Same method and the same operator either way. The difference is who has their hands on the keyboard, and who owns it at the end.

Model A

Build for you

We build it and we run it, while your team gets on with the business. You end up with a working operation without hiring for it.

We own the build, the backlog and the upkeep
Hands on the keyboard inside your own systems
AI built, shipped and maintained by us
Monthly retainer, scoped once we know what we found

Best fitYou have nobody in house for this, and you want it working this quarter rather than next year.

Scope a build for you engagement

Model B

Build with you

We build it alongside your team and hand over the keys. Your people learn it while it goes in, and own it once we leave.

Weekly working sessions with your own people
Every decision and runbook written down
We review and unblock; your team ships
Fixed length, with a clean handover at the end

Best fitYou already have someone who could own this, and you want them up to speed fast.

Scope a build with you engagement

Both include A weekly call with the operator who built it One senior person, start to finish Your data and your systems stay yours

05 / BEFORE YOU BOOK

What people ask us first.

In one sentence, what do you actually do?

We make the way your business produces revenue work properly, and then we get AI to do the repetitive parts of it. What you should feel is a team spending less time on admin, numbers you can trust, and more of your pipeline closing.

We already bought an AI tool and nothing changed. Why would this be different?

Because the tool was almost certainly fine and the inputs were not. AI reads your data and follows your processes, so if records are incomplete and the process changes depending on who is doing it, you get confident nonsense. We fix that first. It is the least exciting part of the work and the reason the rest of it holds.

Do we have to change the tools we use?

Almost never. We work inside what you already pay for and make it do more before anyone suggests buying something new. A change of system only comes up if the one you have genuinely cannot do what the business needs.

How much of our time does this take?

In the first two weeks, a few hours in total across whoever knows the business and whoever owns the systems. After that it depends on the model. Build for you needs access and a weekly call. Build with you needs one of your people for about a day a week.

Who owns what you build?

You do. The systems, the data, the automations and the documentation are yours, both during the engagement and after it ends. There is nothing to keep renting from us.

We're small. Is it too early for this?

Usually it is the opposite. The cost of sorting this out goes up with every tool, every hire and every spreadsheet you add on top of the mess. Smaller businesses see it pay back faster because there is less to unpick.

Operate better. See more revenue.

Three things we hear on almost every first call.

Your team is stuck in the systems

No single clear view of the funnel

AI is still not pulling its weight