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 — data entry, re-typing, 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.