Business Process Automation

AI Automation Developer for Business Process Automation That Actually Saves Time

Most businesses lose hours every week to work that follows a pattern: intake forms, document collection, data entry, status updates. As an AI automation developer, I build systems that remove that manual work, not with rigid if-this-then-that scripts, but with AI automation that can read, classify, and route real unstructured information (documents, messages, forms) the way a person would, just faster and without the backlog.

This is AI workflow automation applied to your actual operations: fewer manual handoffs, faster turnaround per case or customer, and a system that scales without you hiring more admin staff.

Case Study

Legal Case Intake System

Problem

A Canadian personal injury law firm was managing client intake, claim forms, and case workflows manually. Every new client meant paperwork, re-entry, and delays before a case could actually start moving.

Solution

Built a case intake platform that digitizes and automates claim forms, document collection, and workflow routing, so new cases move through intake without manual bottlenecks, backed by Django REST Framework, Next.js, and PostgreSQL.

470+ active client files managedAutomated claim form and intake workflowsFaster, error-free case onboarding
Next.jsPostgreSQLREST APIWorkflow Automation

Who This Is For

Built for Businesses Like Yours

Law Firms

Automated client intake, claim forms, and document routing, proven in production on 470+ active files.

Roofing & Home Services

Automated scheduling, quote follow-up, and lead routing from first contact to booked job.

Restaurants

Automated order confirmations, inventory alerts, and customer communication workflows.

Real Estate

Automated listing intake, inquiry routing, and buyer/renter follow-up sequences.

Common Questions

Frequently Asked Questions

What is AI automation and how is it different from regular software automation?

Regular automation follows fixed rules, good for predictable, structured data. AI automation adds the ability to handle unstructured input: reading a submitted document, understanding a free-text form response, or classifying an incoming message, the kind of work that used to require a human to interpret before it could be automated at all.

What business processes can AI actually automate?

In practice: client/customer intake, document and form processing, data extraction from PDFs or emails, lead routing and qualification, and status/notification workflows. If a process involves reading something and deciding what to do next, it's usually a good candidate.

How long does it take to build a custom automation system?

It scales with scope. A single-workflow automation is a matter of weeks. A full intake platform like the legal case system above is a larger build. I'll give you a realistic timeline once I understand the specific process you want automated.

Will AI automation replace my staff?

In my experience, it removes the repetitive front-end work, like data entry, re-typing, and chasing paperwork, so your team spends time on the judgment calls and client relationships that actually need a person, instead of the administrative backlog.

Can you automate our existing manual intake or paperwork process?

That's exactly the kind of project I build. The legal intake system above replaced a fully manual, paper-based process with an automated digital workflow. Tell me how your current process works and I'll map out what an automated version looks like.

Have a project like this?

Tell me what you're trying to build or automate — I typically reply within a day.