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Works from your own files

Stop retyping your own PDFs and invoices into other systems.

Tell me what you're still copying by hand from PDFs, invoices or spreadsheets, and I'll show you how fast AI can pull it out instead.

Most small businesses have some version of this: a PDF, an invoice, a scanned form, or an old export that someone still opens and retypes into another system by hand. I build a tool that reads your own documents and does that work automatically, plus the app or workflow that uses the result. $250 to $500/month, 6-month minimum, plus the developer who maintains it. The kind of tool agencies quote $20,000 to $85,000 upfront for.

A few questions about what you're keying in by hand today, and I sketch what I'd automate first. Or see how it works. See full pricing.

Owner-operated. You work directly with the developer. .NET on Azure, your code and content stay yours

What gets automated

  • Field extraction from invoices, POs and forms
  • Data entry from PDFs into your own system
  • Answering questions from your own files
  • Turning source documents into structured records
  • The app or workflow that uses the result

Sound familiar?

Six versions of "someone still retypes this by hand."

A PDF or invoice comes in and someone retypes it

Invoices, POs, applications - the same fields get keyed into your system by hand, every time.

You want AI that only answers from YOUR files

A general chatbot will confidently guess. You need something that says "that's not in here" instead.

One person is the document bottleneck

If they're out, the backlog isn't.

Your system and your paperwork drift apart

Whatever got typed in wrong sometimes stays wrong, because nothing checks it against the source.

Every new form or vendor means a new manual process

Nothing about the intake is templated, so scale means more people retyping, not less.

Finding one answer means digging through a folder of PDFs

Whatever you need is in there somewhere, and "somewhere" means an afternoon.

How AI changes the economics

Retyping documents by hand used to be the only option. Current AI tooling collapses most of the manual work.

Reading your source documents

PDFs, scanned forms, spreadsheets, old exports. AI tools read them and pull out the fields you need in seconds - this is the exact pipeline that cut ATP's per-state content prep from 2 to 4 hours to about 30 seconds.

Feeding your own system

The extracted data goes where it needs to go - your database, your app, your spreadsheet - without someone retyping it.

Answering questions from your own files

Ask it something and it answers from what you actually gave it, not a guess. See how teaching AI your own files works.

Keeping a record

Every extraction is logged, so you can see what came from where and when.

The review step — checking the AI's output against the source document before it's used — is still hands-on work. That's where a second pair of eyes matters, and where Hurrah's involvement lands.

And once it ships, someone has to keep it running. Here's what happens after the person who built it moves on.

Why not just buy Copilot?

Two different layers, and most people have only been sold the one they already have.

Copilot: the productivity layer

Helps you write faster inside the tools you already use - draft an email, summarize a document you paste in, answer a one-off question. It doesn't watch a folder, read your PDFs on a schedule, or update your own system.

This: the workflow layer

Runs on your own documents and rules, on a schedule, feeding your own system, maintained by someone who fixes it when a vendor changes a PDF format. Different job. Most businesses eventually need both.

Automating your document intake is step one. Cutting the manual process behind it is the real win.

A tool that reads your documents is the visible part. The real cost is usually the process behind it: chasing down which version is current, re-keying the same fields into two systems, and fixing the errors that creep in. We build that process into the app and automate the manual steps, then put AI on your own documents so it does the extraction and keeps the record current.

ATP's compliance team cut per-state content prep from 2 to 4 hours down to about 30 seconds plus a quick review. The same pattern works whether your documents are invoices, forms, or PDFs nobody wants to open.

Real proof

A multi-year client who automated document intake, then the website too.

The compliance-specific version of this story - the exact PDFs, the exact training content - is on the compliance content automation page. Same client, same pipeline, applied to one document type.

Advanced Training Products

Document automation client, 2 years and counting

Before: Content team produced compliance training material from large PDFs by hand, page by page.
What we built: A tool that reads their compliance PDFs and drafts the training content, cutting 2 to 4 hours per state down to about 30 seconds plus a quick review. Two years later, ATP asked us to rebuild their public website too. We did, and it runs on the same monthly subscription with built-in SEO tooling and web content generated from the same source PDFs. See how teaching AI your own files works.
Result: One subscription now covers their internal compliance app, their public website, and the AI tooling that feeds both.

"Working with Mike has been an unbelievable experience. Collaborative, honest, practical and business oriented, Mike has become more of a strategic business partner than just some vendor. No shady overseas team, no weird requests for payment, no nonsense. Selecting Hurrah Web Solutions is choosing to do the job correctly the first time. Skip the other proposals and save yourself the headache and sunk costs. Review written by a real person who is a real business owner. Mike is the real deal."

Denis Connell, Advanced Training Products
Read the full migration story

Common questions

The objections we hear most often about automating document work.

Send me a sample of what you're keying in today. I build a tool that reads the source document and enters the data directly into your system, and you review the exceptions instead of typing every field.

Yes, if it's built to answer only from what you actually gave it. That's a different setup than a general chatbot: the AI reads your files first and answers from them, so it can say "that's not in here" instead of guessing.

Copilot is a productivity layer for the tools you already use: drafting, summarizing, one-off questions. This is a workflow layer built on your own documents and rules, running on a schedule and feeding your own system. Most businesses eventually want both; the retyping problem needs this one.

$250 to $500/month depending on scope, 6-month minimum, plus the developer who maintains it. Agencies quote $20,000 to $85,000 upfront for the same class of tool.

It's sent to Azure Document Intelligence and Anthropic's API to extract and draft it. Your code and content stay yours, and it's never sold or shared beyond that.

Most first automations ship in weeks, not months, once I've seen a sample of the document and the system it feeds. Full builds vary with scope, and the free audit call gives you a specific estimate.

Free 30-Minute Audit. You Walk Away With a 1-Page Plan.

30-minute call about what you're still doing by hand with your own documents. You walk away with a written 1-page assessment naming the top 3 things to automate first and their rough ROI, whether or not we work together.