We build AI agents that do specific, measurable work — not features that don't actually do anything. If your business has a manual workflow worth automating, an evaluation problem worth structuring, or a content task worth bounding, we'll tell you whether AI helps and what it would take to build.
Concrete examples — not hypotheticals. Each is shipped, evaluated against real work, and either bundled into an engagement or built standalone.
Forms, voicemails, and messages routed to the right person automatically. Standardizes how leads get qualified before a human spends time on them.
Customer voicemail transcribed, parsed for job details, drafted into an estimate. The technician confirms and adjusts; the human is the last mile, not the first.
Same number of visits per day, shorter drive time, less context-switching for the dispatcher. Multi-stop scheduling that accounts for real constraints.
On-site photos auto-organized into per-job folders with structured notes pulled from accompanying text. Insurance docs, before/after, materials used.
Drafted responses to Google Business Profile reviews in your voice. Owner reviews and posts; the agent handles the drafting and tone-matching.
In a prior role at the charitable arm of a major national financial services firm, custom AI agents cut implementation time on certain modernization projects by 90%. We bring those same techniques into client engagements when they fit.
We design and build agents for specific tasks: structured evaluation, data extraction, content generation, customer-facing assistance, internal triage. Built on production-quality LLM platforms (OpenAI, Anthropic, others). Each agent is evaluated against real outcomes before deployment.
Every engagement includes at least one AI-enabled workflow that meaningfully changes how your business runs. Not an upsell, not a separate product — it's how we build now. The platform we run on (kmo-digipres) was built solo + Claude in under a month of primary code time; the same approach goes into your engagement.
Not every problem benefits from an AI agent. Most simple tasks belong in a deterministic script, not a probabilistic LLM. We'll tell you when a non-AI solution is the right answer — and we'd rather lose an engagement than sell you AI theater.
Every AI agent we build goes through three steps before deployment.
What does "this works" look like, in numbers? Without a measurable definition, you don't have a project — you have a hope.
The smallest possible working version of the agent. End-to-end, real inputs, real outputs. No mocks.
Not vibes. Not the cherry-picked happy path. Real, varied inputs reflecting how the agent will actually be used.
If the agent doesn't pass step 3, we don't ship it. We tell you what we learned and either rework the design, recommend a non-AI approach, or close the engagement honestly.
Tell us what you're trying to do — current manual process, what success looks like, what the budget allows. Free 60-minute discovery and a written diagnostic to follow.