Applied Artificial Intelligence

Intelligence Layer: Applied AI Services in Denver, Colorado

We help small businesses adopt AI by structuring knowledge, measuring and evaluating workflows, and shipping durable automation.

Start with a Tiny Seed: one useful Agentic workflow, shipped end-to-end, designed to improve over time.

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The Problem(s) We Solve

Most businesses are drowning in scattered tools and scattered knowledge: documents in one place, notes in another, customer context in someone’s head, "process" living in Slack threads, and decisions trapped in email.

AI doesn’t fix that by itself. In fact, AI exposes it. The moment you try to automate anything, you discover the real bottleneck: your information isn’t structured enough to be reliably reusable.

To be effective, AI requries your data to be well-structured and centralized.

Our job is to help you define that structure then build the system that uses it.

What Is “Applied AI”?

“Applied AI” means AI connected to real workflows: support, sales, ops, content, analysis, and other flows connected to real KPIs.

This is a completely new technology that requires a radically different approach to how your business uses it's data.
You can "apply AI" to any workflow that requires intelligence.
We help you do both the philosophical job of structuring abstract knowledge; and the technical job of enforcing that structure in your systems.

The goal isn't magic—it's reliably saving time and resources on small tasks so you can focus on things that really matter.

"Webhubs"

For all of this to work, AI needs a central place to access structured knowledge and context.

We predict businesses will therefore migrate from scattered apps into unified "webhubs"—cloud based hubs where all data is centralized for AI.

You don’t get a webhub by installing another tool. You get it by building a unified foundation.

We want to help businesses make this migration smoothly, and thus leverage AI like never before.

The Tiny Seed

Boring but Powerful

Eval-first, agentic, and shipped in your environment to complete one real business task end-to-end.

This first version will not be accurate. Useful? Definitely. Fast? Oh yeah. #Future? Indubitably. But NOT accurate. Accuracy comes from tight scopes, strict schemas, and dutiful evaluation and iteration.

Useful: We tie performance to a real KPI and track performance over time.

Inspectable: We identify key human-in-the-loop moments, and enable logging.

Long Term: The Seed can be extended and improved; for example, evals can be used to fine tune small language models for more cost-effective results.

Teachable: it improves over time as you refine prompts and evals.

Most importantly: This is the first step toward shifting your system to an AI-first discipline.

Read the Case Study

Prospect research Seed: from ~60 minutes to ~6 minutes with review checkpoints and evals that guide improvements.

Who this is for

Small Businesses Everywhere!

Get a firm foundation in a whole new way of thinking: structure first, evals always, iteration baked in.

Teams that want to reduce time, mistakes, and rework in day-to-day operations.
Leaders who want clearer process, cleaner data, and less context-switching.
Small businesses that want durable systems they can own—without hype or lock-in.

You're the expert. We literally cannot do it without you "in the loop".