Reading the same documents
Somebody opens the same kind of file over and over, pulls four fields out of it, and retypes them somewhere else. A system can read the whole stack and answer questions across all of it.
AI consulting and automation
Most businesses do not need an AI strategy. They need one specific, repetitive, expensive job to stop being done by hand. We work out which job that is, tell you honestly whether it is worth automating, and build it if it is.
01
Read
Documents in any shape, read and understood rather than scanned for keywords.
02
Extract
The fields you care about, pulled out and put where they belong.
03
Act
The next step taken automatically, with a person approving anything that matters.
04
Answer
Questions answered across everything you hold, with the source attached.
Where AI helps
Most businesses think AI does not apply to them.
They are usually wrong, but for a fair reason: the useful version is boring. It is not a strategy or a chatbot, it is one specific job that eats hours every week being done the same way every time without anyone getting tired. If none of these describe your week, you probably do not need AI yet, and we will say so.
Answering the same questions
Your team writes the same five replies every week, to customers and to each other. An assistant handles the repeats and passes anything unusual to a person with the full thread attached.
Finding what you already know
The answer exists, in a folder, an old email, or somebody’s head. An assistant trained only on your own files finds it in seconds instead of twenty minutes.
Retyping between systems
A form arrives, somebody keys it into the CRM, then again into the invoicing tool, then again into a spreadsheet. That is a job a machine should have had years ago.
Chasing what is missing
Half the work is following up: the document nobody sent, the approval nobody gave, the third email nobody had time to write. Automate the chasing and the work moves on its own.
Reports nobody wants to build
The weekly numbers that take two hours to assemble and are stale by the time anyone reads them. Built once, generated overnight, every week, without being asked.
Start here · Free consultation
Not sure what to automate? That is the normal starting point.
Almost nobody arrives knowing which part of their business is worth automating. They know something is wasting time. So we sit down, map how work actually moves through your business today, and find the step where automation pays for itself. You leave with that answer in writing whether or not you hire us.
We map the work
Walk us through a normal week. Where does a request come in, who touches it, and where does it sit waiting.
We find the expensive step
Usually one step eats most of the time. It is rarely the one people expect going in.
We tell you if it is worth it
Sometimes a clearer process and a spreadsheet beats an AI build. We would rather say that than sell you something that will not pay for itself.
You get the plan in writing
Scope, approach, and a fixed price. Yours to keep, and yours to take elsewhere if you want.
Book a Free Consultation
45 minutes, no obligation, no slide deck.
What we build
Three places this usually starts.
We are not reselling somebody else’s chatbot with our logo on it. Everything here is built for one business and owned by that business.
Most common
AI Document Processing
Systems that read your documents and answer questions across all of them. Contracts, invoices, applications, reports, policies. Trained only on your files, so the answers come from your business and nowhere else.
- Ask questions across thousands of pages
- Pull fields out and into your systems
- Flag what is missing and chase it
Highest ROI
AI Workflow Automation
The plumbing between tools you already pay for. A form arrives and the work moves on its own: into the CRM, out as an invoice, into a report, with a person approving the parts that need judgement.
- Intake straight into your CRM
- Follow-ups that respond to what happened
- Reports generated overnight
Start here
AI Consulting
A proper look at how your business runs, and an honest answer about where AI helps and where it does not. Ends with a written plan and a fixed price, which is yours to keep either way.
- Map the work as it happens today
- Find the step worth automating
- Written scope and fixed price
What it actually looks like
A document goes in. Answers come out.
This is the part most agencies describe and never show. Here is the shape of a document processing build: your file on the left, the fields pulled out of it in the middle, and a question answered from the content on the right, with the page it came from.
Straight answers
When AI is not the answer.
Every firm in this market has a list like this. Most keep it to themselves until the invoice.
AI for the sake of AI
If a clearer process and a spreadsheet solves it, that is what we will tell you. We would rather keep the relationship than book the project.
Automating a broken process
Automation makes a bad process faster, not better. Sometimes the honest first step is fixing how the work is done before any software touches it.
Taking the human out of the decision
The point is to give your team their time back, not to remove them. Anything with legal, financial, or safety consequences keeps a person approving it, and we design for that from the start.
Guaranteed savings
Nobody can promise a percentage before seeing how your business runs. Anyone who quotes one up front is guessing.
How it works
From conversation to something running.
Nothing starts until the scope and the price are agreed in writing. You can stop after any stage and keep what has been delivered.
Consultation
We map how the work moves today and find the step worth automating. You get the plan in writing, free.
Scope and fixed price
A written scope with a fixed price, the approach, and what it will not do. No hourly billing and no change orders.
Build on a pilot
We build the smallest useful version first and run it against real work alongside your current process, so you can compare.
Review and decide
You see it working on your own data before committing further. If it is not earning its keep we say so.
Deploy and hand over
Into your infrastructure, in your accounts, documented, with your team trained to run it.
Built for you. Owned by you.
It stays private
Your documents go into infrastructure you control, not a shared pool. Nothing you give us trains a public model, and if a build needs a third-party provider we name it before you sign.
It stays explainable
Every answer cites the source it came from. Anything with legal, financial, or safety weight keeps a person approving it, by design rather than as an afterthought.
It stays yours
The code, the infrastructure, and the documentation transfer to you. Nothing stops working the day you stop paying us, and no contract is required to start.
Common questions
What people ask before committing to AI
Into infrastructure you control, not a shared pool. We build on AWS in your own account wherever the project allows it. We do not use your documents to train models, and where a build needs a third-party model provider we turn off training on your data wherever that provider offers the setting. Before you sign anything we tell you which provider it is, what leaves your systems, and what their retention policy says.
It depends on scope, which is why the first conversation is free and ends with a written number. A single workflow that reads documents is a different project to a system several teams depend on. What does not vary is that you get a fixed price in writing before anything starts, and we build the smallest useful piece first so you can see it working before committing to the rest.
It cannot make a decision nobody has defined, and it cannot fix a process that is broken for human reasons. It is a poor fit anywhere being almost right is as bad as being wrong, and it needs a person checking anything that carries legal, financial, or safety weight. If the real problem is a disagreement about how work should be done, software will not settle it.
Usually. Most business software has an API, or at least an export, and the ones that do not can often be reached another way. We check this before quoting rather than after, because a tool that will not let its own data out changes the shape of the project. If something genuinely cannot connect, you will hear it in the first conversation.
No. The common case is not a data science project, it is a system reading documents or records you already have, and that works from the first one. If a build genuinely does need training data and you do not have enough of it, we will tell you that rather than shipping something that performs badly and calling it a pilot.
You stop. The work runs in your own accounts wherever the project allowed it, so there is no platform of ours to extract it from and no licence that switches off. You keep the code, the configuration, and the data, on the terms set out in your agreement. We would rather you left with everything still working than stayed because leaving was made painful.
No. That is not the work we do, and it is usually not where the value is either. What we automate is the part of a job nobody wanted: re-typing the same information, reading the same document for the fourth time, chasing a status someone else already knows. The people doing that work are the ones who tell us what to build, which does not happen if they think the project is aimed at them.
GET IN TOUCH
Have a project in mind?
Tell us what you are trying to fix. We will come back with a straight answer about whether we are the right team for it, and what it would cost.
PHONE
LOCATION
Fort Lauderdale, Florida
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We reply within one business day. No sales sequence.