AI automation that earns its keep.
We don't add AI for the wow factor. We add it when it removes a real, measurable burden from your team — answering the same DM 40 times a week, processing invoices, triaging leads. If a regex would do the job, we use a regex.
Six things AI is actually good at.
The work we take on falls into these six categories. If your problem isn't on this list, tell us anyway — sometimes the answer is that you don't need AI. If what you need is a steady stream of video, imagery and articles rather than a workflow, that's AI content production.
RAG chatbots
Retrieval Augmented Generation chatbots grounded in your product docs, tickets, and FAQs. Claude or open models. Self-improving feedback loop.
Document processing
Invoices, contracts, intake forms — extracted, classified, validated. Replace 40 hours a week of manual data entry with a pipeline you can audit.
Workflow automation
n8n, Zapier, custom Node — whichever fits. We connect CRMs, email, calendars, billing systems. The plumbing nobody wants to do.
Lead qualification
Inbound forms, calls, and chats triaged automatically. Hot leads to the right rep within minutes. Cold ones nurtured by an LLM that doesn't sleep.
Knowledge assistants
Internal Slack and Teams bots that answer staff questions from your handbook, runbooks, and historical tickets. Onboarding cut in half.
Custom LLM integrations
If a generic tool doesn't fit, we build it. Claude, OpenAI, open weights via Together or Groq — model selection driven by cost, latency, and quality.
Three steps to production.
Most agencies sell you a six-month contract on day one. We sell you a two-week proof of concept first — so you can decide whether the rest is worth it.
Discovery call
30 minutes. We identify the one workflow worth automating first. Not the most ambitious — the one with the clearest payback.
Proof of concept
Two-week sprint to a working prototype you can put in front of a real user. Honest assessment of what works, what doesn't, what to ship.
Production
Full build, observability, evals, handoff docs, ongoing support. We don't ship and disappear — AI systems need eyes on them.
Things people ask first.
What can AI automate in a small business?
The repetitive work: answering the same customer questions, reading invoices and forms, sorting incoming leads, and moving data between your CRM, email, calendar and billing. If a simple rule does the job, we use the rule instead of AI.
How do we start?
With a 30-minute call where we pick the one workflow with the clearest payback. Then we build a two-week proof of concept, so you can see it working before deciding on anything bigger.
How long does an AI automation project take?
A focused first version usually takes 6 to 10 weeks, starting with the two-week proof of concept.
Which AI models do you use?
Claude, OpenAI or open models through Together or Groq. We pick the model by cost, speed and answer quality for your specific task.
Tell us what your team does 40 times a week.
That's usually where AI earns its keep. We'll respond within three business days with an honest read on whether automation actually fits.
Start a project →