Your company grew. The manual work stayed.
Orders in the inbox. Invoices as PDFs. Excel acting as the bridge. Decisions always waiting on the same person. That is where we come in — without forcing you to replace what already works.
If the boss doesn’t answer, it just sits there.
“Have you checked with the boss?”
- The quote is ready.
- A complaint came in.
- The customer asked for an exception.
And there goes one more call to the same person.
It is not that the team doesn’t know its job. It is that margins, exceptions, customer terms and old decisions stayed in the head of whoever grew the company. For years, asking was the system.
The idea is to put that context in front of the team. Whatever fits the rules moves. Whatever is an exception still goes up.
Sales knows what they want to do, but needs to confirm margin, terms and history. They call. They explain it all. They wait.
They see the history, the terms and the limits right there. If it fits, they move. Only the exception reaches the person in charge.
What changes day to day
First: a real case
Bring a task that repeats. In 30 minutes we work out where the manual work is and whether it is worth changing.
Without replacing everything
Email, ERP, Excel, CRM, WhatsApp: we work around what the team already uses.
A person steps in where they are needed
The system handles the repetitive part. Payments, exceptions and commercial decisions still reach someone.
If it doesn’t improve, it doesn’t stay
The goal is not more technology. It is less unnecessary work. If that doesn’t happen, it gets fixed or switched off.
What we do
We start where the work gets stuck: an order someone retypes, an invoice someone enters by hand, a request waiting on a decision. Then we take out of the way whatever does not need a person.
We take two or three real processes and do the maths: how often they happen, how long they take and where they sit waiting. By the end you know where it is worth starting — and where it is better not to spend money.
- frequency
- time
- systems
- risk
- human decision
Orders, invoices, emails, documents: if someone is copying, classifying, retyping or reminding someone else to reply, that is where we come in.
- orders
- documents
- ERP
- CRM
- suppliers
When connecting what already exists does not solve it, we build the missing piece: an internal tool, a portal, an agent or an assistant wired to the company’s own data.
- internal tools
- portals
- agents
- assistants over documents
- APIs
- custom integrations
New tools, vendors, rules, candidate processes, team training. AI Partner exists so these decisions stop landing on the same person.
- roadmap
- new opportunities
- tool evaluation
- implementation
- rules of use
- team training
Team training happens inside the projects — when we change a process, we leave the team able to work the new circuit and to understand its limits — and inside AI Partner, covering the tools in use, the real process, the rules, the data and the limits.
XBoost Local
For local home service businesses: website, Google, Maps, reviews, WhatsApp and AI Search visibility, handled every month. Fixed price, no lock-in — and what we build stays yours.
We have put this to work in the field
Hospitality, textile manufacturing and retail. Different sectors, the same pattern: information moved by hand and decisions depending on a few people.
- Hospitality
- Textile manufacturing
- Retail
- Accounting and services
- Sport and education
Show us where the work gets stuck
Bring two or three examples. In 30 minutes we tell you where it makes sense to start — and where not to spend money.
Frequently asked questions
How much does an AI project cost?
It depends on the process and on what is already in place. We don’t publish prices because invoice extraction and an ERP-connected agent are not the same scope. The check-up is free, and it is what produces a proposal with fixed scope and price.
How long until we see results?
The first process in production usually takes weeks, not months. We start with the most expensive and most repetitive one, put it live, measure, and only then move on.
Do we need our data organised before starting?
No. Most companies we work with have information scattered across email, PDFs, Excel and the ERP — that is precisely the problem we are there to solve.
Will our data go into ChatGPT?
Only if the company wants that and knows exactly what. We pick the model and the hosting based on how sensitive the data is, including options where nothing leaves the client’s infrastructure.
We are a small company. Does this make sense?
Often it makes more sense. In a small team, two hours a day of manual work weighs more than in a large department — and the process is simpler to change.
