Custom AI agents and workflow automation built against real problems in your business. Deployed and running in production, not demoed on a slide deck.
What We Build
Not demos. Not prototypes you have to maintain yourself. Systems that run, handle volume, and replace manual work.
Agents that handle specific tasks end-to-end: classifying inbound requests, routing them, generating responses, updating records. Built around your actual workflow, not a generic template.
Multi-step processes that currently require manual coordination. Approvals, notifications, data movement between systems, follow-up sequences. Built with n8n, Make, or custom code depending on what the problem requires.
Contracts, invoices, applications, intake forms. AI that reads, extracts, classifies, and routes documents without manual review for every item.
Chat interfaces on your site or in your product that answer questions, qualify leads, collect information, and hand off to a human when the situation calls for it. Connected to your actual data.
AI tools your team uses inside the business: search over internal documents, policy Q&A, proposal drafting, report generation. Tied to your data, not trained on generic content.
Tech We Use
We are not locked into one stack. We use whatever fits the requirements of the project.
AI Models
Claude API and OpenAI
Primary models for production AI. Model selection depends on task requirements, latency needs, and cost profile.
Automation
n8n and Make
Workflow orchestration for multi-step automations that connect your existing tools without custom code.
Backend
Custom Node.js on Railway
For projects requiring custom logic, persistent state, or API surfaces that automation tools cannot handle cleanly.
How an Engagement Runs
A scoping session that walks through the current process: what triggers it, what steps it involves, who touches it, how long it takes, and where it fails. We are looking for clear scope and a measurable outcome before any code gets written.
Before we build the production system, we build the prototype against your actual data and your actual use case. This surfaces the real edge cases early and gives you something to react to before the full build.
Production-grade deployment with error handling, logging, alerting, and documentation. You know what it does, what to watch, and what to do when something breaks. We do not build things that only we can maintain.
AI systems improve with feedback. We offer ongoing maintenance and optimization retainers that cover model improvements, edge case handling, and additional feature scope as the system proves itself.
Pricing
AI engagements are quoted by scope. Every build is different, and the right starting point is a conversation about what you are trying to remove from your operation. Discovery calls are free.
Who This Is For
Businesses with repetitive operations that are eating staff time and would benefit from automation. If you have a process that runs every day, involves the same steps, touches more than one system, and takes more than a few hours of manual work per week—it is probably a candidate. Minneapolis and Twin Cities businesses in services, operations, professional services, and healthcare are our primary clients.
Get Started
We will scope the project and give you a fixed-price proposal. No commitment until you see the scope.