I help small teams get real value from tools like Copilot, ChatGPT, and Gemini, and when it makes sense, turn that into reliable, AI-powered workflows.
Most AI tools stop at suggestions.
I help turn them into systems and habits that actually work, so less effort falls on you or your team.
I have spent the last few years building and testing AI systems with real teams and real data, not demos or templates. This work is grounded in what actually holds up in day to day operations, not what looks good in theory.
We usually begin with a short intro call to understand how your work actually flows and where things feel unnecessarily manual or error-prone.
From there, the next step depends on what will help most right now. That might be:
If I do not think I can help, I will say so.
Intro call: 20 to 30 minutes. No charge.
I generally help teams in three connected ways. The right mix depends on where you are starting.
Hands-on working sessions designed to help you or your team actually use AI tools well, without hype or theory.
These sessions focus on:
For some teams, this is all they need. For others, it becomes the foundation for automation.
For teams that continue into a workflow project, I typically apply a small credit from the initial session.
When there is a clear use case, I design and run simple, reliable workflows that remove repetitive work and reduce things falling through the cracks.
A workflow may include:
Each workflow is:
I focus on one workflow at a time so scope, cost, and risk stay predictable.
I also design AI agents that are tailored to your documents, language, and context.
These agents act as focused helpers for specific tasks, such as:
Depending on what you already use, these agents may be implemented as:
They are often a lightweight way to start, or a useful complement to a larger workflow. In practice, these agents frequently become the first building block for more reliable automation.
My approach is intentionally simple.
Identify one process that is slowing things down
Decide whether AI is actually the right tool
Improve or automate only what makes sense
Keep it working as your business changes
We start small and expand only when the value is clear.
Hi, I am Sean Harris.
I previously built Kyva, an AI platform focused on deploying AI safely inside real organizations. That experience showed me where AI tends to break down in practice. Not the models themselves, but adoption, trust, and messy real-world processes.
I saw the same pattern repeatedly. Teams invested in powerful AI tools, but usage was inconsistent, trust was low, and day to day work did not change much.
This practice grew out of that experience.
Today, I work directly with small businesses to apply AI carefully, integrate it into real workflows, and make sure it actually saves time instead of creating risk. I focus on small, practical improvements that compound over time.
This is a good fit if you are:
If you want AI strategy decks, this probably is not for you.
If you want work to feel lighter and more reliable, it is.
Book a short call and we will decide together whether training, automation, or something else makes the most sense.
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