Custom AI apps on your data
Assistants, approvals and customer portals built over your own HubSpot, QuickBooks, Microsoft 365 and supplier data, with guardrails.
The useful AI apps are rarely the clever ones. They are the ones that sit inside a process you already have, read what is already there, and take a job off someone’s desk without anyone having to trust them blindly.
That is the shape we build: a narrow job, real data, clear permissions, a person who approves, and a log of everything. We start read-only and widen it as it earns trust. Then we run it, because an app nobody watches is worse than no app.
- →Companies with a process that lives in someone's head and a spreadsheet.
- →Firms whose customers keep asking the same questions the data could answer.
- →Owners who want a portal for their own clients, without a software company's bill.
In plain words
- An assistant that answers questions from your systems, with each user's own permissions
- Approvals: the app prepares the action, a named person clicks yes
- Customer-facing portals: orders, status, documents, self-service
- Document handling: read, extract, file, and raise the exception
- Connections to the suppliers and systems you already use
- Running it afterwards: monitoring, changes, and an engineer accountable
How it shows up day to day
The assistant in our client portal is one of these apps. It reads live data about your services and orders, prepares quotes for approval, and never sees another client's data.
Sets the boundaries: what it may read, what it may do, who approves.
Answers from your data, prepares the action, waits for the approval.
Live service numbers, measured weekly and dated, are coming to this strip. We publish nothing we have not measured.
Questions people ask
How do you stop it doing something wrong?
Can we see one working before we commit?
What does it run on?
Start with a conversation.
Let's Talk AI is a first call that ends with a short list of what is worth doing first.