AI Integration

AI That Does Real Work
In Your Operations.

Skip the chatbot demos. We integrate AI where it moves numbers: reading documents your team types in by hand, drafting responses, classifying and routing work, and answering questions from your own business data.

Sound Familiar?

Your team manually reads and keys in invoices, POs, and forms that AI could process in seconds.
Leadership wants an 'AI strategy,' but every vendor pitch is a chatbot that doesn't touch real operations.
Answers to routine customer questions live in your docs and history, but only two employees know them.
You tried ChatGPT experiments, but nothing connects to your actual systems or data.

What You Get.

Document Intelligence

Invoices, POs, BOLs, contracts, and forms read automatically — extracted, validated, and pushed into your systems.

AI-Powered Workflows

Classification, routing, summarization, and drafting built into your existing processes with human review where it matters.

Knowledge Assistants

Assistants that answer from your data — SOPs, order history, product specs — so answers stop bottlenecking on two people.

Customer-Facing AI

Quote responders, support triage, and intake assistants that resolve routine requests and hand the rest to humans with context.

Model-Agnostic Builds

Claude, GPT, or open-source models — chosen for your accuracy, cost, and privacy requirements, not vendor loyalty.

Evaluation & Guardrails

Accuracy measured against your real data before launch, with logging, fallbacks, and human escalation built in.

Case Studies

Real Systems, Real Outcomes

A sample of shipped work — from government platforms to SaaS products.

B2B Trading / International

Dawood Ahmed FZE

Gave the company a professional digital presence that matches how it operates offline — credible to global buyers from the first visit.

See the problem & solution +
Problem
An international trading company had no digital presence to back up its credibility with overseas buyers and partners.
Solution
Built a trust-forward corporate site with clear company positioning, service breakdowns, and a direct inquiry path.
View Project →
Service Business

Ntense Car Wraps

A premium online presence that turns browsers into booked customers.

See the problem & solution +
Problem
A car customization business needed a site that reflected the quality of its work instead of looking like a template.
Solution
Designed a bold, image-led site that showcases the work itself and makes booking a service simple.
View Project →
US Government

Washington County UT

Replaced scattered paperwork and phone calls with a single, easy-to-navigate resource.

See the problem & solution +
Problem
Residents of Maine's Unorganized Territories had no central place to find civic information and services.
Solution
Built a clear, accessible civic information site organized around what residents actually need to find. Built at Schoodic Solutions.
View Project →
Custom SaaS / Consumer

Hangry

A working product that solves a real, everyday decision problem for both sides of the market.

See the problem & solution +
Problem
Diners struggle to decide where to eat, and restaurants lose business to indecision.
Solution
Built the product experience that helps people pick a restaurant fast — and helps restaurants win that decision.
View Project →

Common Questions.

What does AI integration cost?

Focused AI features — document processing for one workflow, a knowledge assistant over your docs — typically run $10,000 to $40,000. Ongoing model API costs are usually modest at business volumes, and we optimize for cost during evaluation.

Is our data safe when using AI models?

Yes, when architected properly. We use enterprise API tiers where prompts aren't used for training, keep your data in your infrastructure, and can deploy private or open-source models for sensitive workloads.

How accurate is AI document processing?

On typical business documents, well-built extraction pipelines reach 95%+ field accuracy, with confidence scoring routing uncertain cases to a human. We measure accuracy on your real documents during discovery before you commit to a build.

Where should a business start with AI?

Start where high-volume manual reading or writing happens: document data entry, email triage, quote drafting, and internal Q&A. These have measurable ROI in hours saved, unlike open-ended 'AI strategy' projects.

Do we need our own data science team?

No. We build on foundation models like Claude and GPT, which means no model training, no ML team, and no research budget — just engineering that connects proven models to your workflows and measures the results.

Your Operations Have
Outgrown Your Software.

Book a free scoping call — or email us the workflow that's eating your team's week and we'll tell you what it would take to fix it.

Book a Call

Pick a Time That Works.

A free scoping call with the founder. No pitch deck — just a real conversation about your operations and what it would take to fix them.

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Get In Touch

Tell Us About Your Project.

Send the details below and you'll get a reply from the founder — with real technical input, not a sales pitch — within one business day.

or email us directly at Email