Artificial Intelligence · Agentic Functions

Automation where it belongs. People where they matter.

AIAF starts every engagement the same way: break the workflow down, task by task, and determine what truly benefits from automation — and what benefits from a human in the loop. We don't wedge AI into a process for the sake of having AI in it. We engineer workflows for a specific outcome. Based in Southeast Michigan. Working anywhere.

services

Analysis first. Automation second.

AI earns its place in a workflow the same way any other component does: by being the right tool for that specific task. The analysis decides; the build follows. Nothing speculative, nothing you don't own.

01 / Workflow analysis & breakdown

The core discipline everything else rests on. We decompose your process task by task and sort each one honestly: automate it, augment it with AI, or keep it human — because judgment, relationships, or accountability live there. You get the map whether or not AIAF builds the road.

02 / Workflow automation

The tasks the analysis marks for automation — intake, reporting, publishing, monitoring, follow-up — rebuilt as reliable workflows that run on schedule or on trigger. Human approval gates are engineered in wherever the analysis says a person should stay in the loop.

03 / AI agent design & build

Where the analysis calls for intelligence, not just automation: agents that research, draft, watch, and flag — wired into your existing stack, built to your rules, on your accounts. Every agent escalates to a human at the boundaries you set.

04 / Integration & data plumbing

The unglamorous work that makes the engineered workflow possible: connecting the tools you already pay for — CRM, commerce, spreadsheets, email, databases — so your systems talk to each other instead of through you.

approach

Capability transferred, not dependency created

The goal of every engagement is a system your team runs without me on retainer forever — engineered for the outcome you named, not for how much AI it contains. That principle shapes how the work is done:

1

Break it down

We map your actual workflow — the real one, not the org-chart version — and decompose it into its logical tasks. Each task gets an honest verdict: automate, augment, or keep human. Where judgment, relationships, or accountability carry the value, the human stays — by design, not by omission.

2

Engineer for the outcome

Only what the analysis justifies gets built — on your accounts and your infrastructure, documented as it's built. Approval gates stay in front of anything consequential — money, outbound messages, public content — with the human in the loop exactly where the breakdown put them.

3

Hand over

You get the keys, the documentation, and a walkthrough — including the reasoning for every automate-or-human call, so the system can evolve with your business. Ongoing support is available when you want it, because it's useful, not because you're locked in.

about

Steve Bergeron

Founder / Automation Engineer. Almost forty years of hands-on operational experience — running processes, fixing them, automating them — first in industrial and business automation, now in AI-driven agents and workflows. I've stood inside enough operations to know that the workflow on paper is never the workflow on the floor.

That's the expertise AIAF is built on: workflow breakdown and analysis. Decomposing a process into its logical tasks and reading each one correctly — this piece is mechanical and should never touch a human's day again; this piece is judgment and should never leave one — is the discipline that decides whether automation helps you or just complicates you. It's what nearly four decades in real operations trains, and it can't be shortcut by a tool.

I run my own ventures on the same agentic infrastructure I build for clients: automated research, content, and operations pipelines running daily across multiple businesses — every one of them shaped by that same automate-or-keep-human analysis. When I recommend an approach, it's because it's already survived contact with production — mine.

If you're weighing what AI can actually do for your operation — not the hype version, the engineered version — that's the conversation I enjoy most.

Role
Founder / Automation Engineer
Base
Southeast Michigan
Specialty
Workflow breakdown & analysis — where AI makes sense, and where the human stays in the loop
Experience
Almost 40 years hands-on operations · multi-venture operator · agentic pipelines in daily production
Contact
steveb@aiaf.io
contact

Tell me what's eating your hours.

One email is enough to start — a sentence or two about your business and the workflow that's costing you the most. You'll get a real reply from me, not a funnel. And if the honest answer is that your process doesn't need AI, that's the answer you'll get.

No newsletter, no drip sequence, no call-booking maze. Email in, answer out.