FAQ
AI implementation FAQ
Straight answers on how we scope, build and support AI systems.
Getting started
What does an AI implementation partner do?
An AI implementation partner turns an AI strategy into working systems. Yellow Brick maps the workflows that cost you most, scopes the right solution, builds it, connects it to the tools you already run and stays to run it with your team.
Where should a company start with AI?
Start with one workflow that has a clear cost or revenue number attached. We map how the work happens today, size the opportunity and define a practical scope. Good first candidates sit in operations, sales, customer service or finance.
What happens in the first conversation?
We ask how the workflow runs today, what it costs and what a good result looks like. You leave with the opportunity sized and a practical scope to react to.
Who does Yellow Brick work with?
Private equity portfolio companies, multinational enterprises, small and mid-market businesses, and NGOs and impact organizations.
How we work
How long does an AI implementation take?
Most builds run 6 to 16 weeks across five phases: audit, spec, build and validate, migrate, support.
How do people stay in control of the system?
Every system keeps a person in the loop where judgment matters. People review exceptions and approve what goes out. The new system runs beside the old one until the numbers match.
Does it work with the software we already use?
We build around the tools you already run and replace only what you overpay for.
What is a forward deployed engineer?
A forward deployed engineer works inside your business for the length of the build. They map how the work happens today, build the system where the work gets done and stay until it runs.
Cost, results and support
How much does AI implementation cost?
Every project is scoped to the workflow. You get a written scope and a fixed monthly fee before you commit.
How do you measure results?
In the units of the problem: dollars saved, hours cut, revenue added. We set the measure in the spec and report against it.
What support do we get after launch?
Monitoring, updates and a named contact, under a defined service level.
Is our data safe?
Your data stays in systems you control. We never use it to train AI models. We sign an NDA before you share anything.
Show us the workflow. Let's scope it together.
We start by understanding the business problem. You leave with the opportunity sized and a practical scope.