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AI Applications

AI integration development that fits into a real workflow

"Add AI" isn't a scope — it's a direction. The useful version is specific: AI that drafts the first pass of a document your team already writes, classifies incoming requests so they land with the right person, or extracts structured data from something that currently gets read and retyped by hand. That's the kind of AI application work we build — integrated into a process you already run, not a generic chatbot bolted onto a homepage because AI was expected to be somewhere on the site.

This includes evaluating whether AI is actually the right tool for the problem in the first place. Sometimes the honest answer is a simpler rule-based system instead — that gets said plainly during discovery, not glossed over to make the engagement bigger.

What This Includes

LLM-powered workflows

Drafting, summarizing, classifying, and routing built into an existing process, using the model that fits the task and budget.

Retrieval-augmented systems

AI that answers questions grounded in your own documents or data, not just the model's general training.

Structured extraction

Turning unstructured input — emails, PDFs, forms — into structured data your systems can actually use.

AI feature integration

Adding an AI-powered feature into an existing product without destabilizing what already works.

Evaluation and guardrails

Testing for failure modes before launch, not discovering them from a user complaint.

Our Approach

We start by identifying the specific task AI would improve, not by asking where AI could be added. If a simpler non-AI solution solves the actual problem, that's what gets recommended — a bigger engagement isn't the goal, the right solution is.

AI application work is usually scoped as a defined feature or workflow, built and evaluated against real examples before going live — with an explicit check-in on whether it's actually working before it's expanded further.

Ideal For

  • A team spending real hours on a task that's pattern-based enough to draft or automate
  • A product that needs a genuinely useful AI feature, not a checkbox one
  • A company with a document or data-heavy process that could be structured automatically

Ready to start a project?

Tell us what you're trying to build — we'll tell you honestly whether it's a fit.

Contact us