Some jobs take several steps: read the request, look something up, make a decision, write the result. We build teams of AI agents that each handle one step and pass the work along. I also help you figure out where AI actually saves money in your business.
In plain English: first I show you where your time and money are leaking, then we build the helpers to fix it and teach your team how to use them safely.
Each one is in plain English, with the technical name underneath for your IT person.
Autonomous workflows with LangChain or AutoGen
Several specialized AI agents work together on one multi-step task. One gathers information, one checks it, and one writes the result. Rules and approval steps keep a person in control of anything important.
Bottleneck assessments, model selection, team training
A technical review of how work actually moves through your business. I find the manual bottlenecks, recommend the right commercial or open-source AI models, and train your team to use them securely.
An illustrative example of how a typical setup runs. Yours is designed around your own process.
Reads each new email and sorts it: billing, scheduling, technical or urgent.
Looks up the customer’s account and recent history.
Drafts a reply using your policies and tone.
Approve or edit with one click. Urgent issues are sent to you right away.
Do-it-yourself AI often stalls after the demo. The value comes from careful setup, testing, monitoring and adjusting it as your business changes, and that is the part I handle.
AI tools are only as good as their setup: the instructions they follow, what they’re allowed to do, and when they hand off to a person. I set that up, test it with real scenarios, and document it.
Software drifts: APIs change, models update, a form field gets renamed. I watch logs and alerts, review results, and fix problems before your customers notice them.
I map how your business actually runs first, then build the automation to fit it. You don’t have to reshape your business around a tool.
Customer data, documents and logins are handled with access controls, encryption and providers whose terms don’t use your data to train public models.
Only within limits you set. We design them with clear permissions, approval steps for anything important, and logs of every action so you can see exactly what happened.
It depends on the task, your budget and how sensitive the data is. The audit compares commercial and open-source options side by side in plain language.
Yes. Training covers how to use the tools day to day, what not to paste into AI, and how to check results, so adoption sticks.
With a free audit or discovery call. I’ll look at your current process and recommend the smallest first step that saves real time.
Send me a message and I'll reply within a day — usually much sooner. First look is always free.
Based out of Denver, Colorado