imagile
Your Agent's Attention Budget Is Already Spent
Context rot isn't a cliff a model falls off — it's a gradient, and the fix is curating what's in the window, not waiting for a collapse.
For business owners
Automate your business processes.
The repetitive work your team does by hand — intake, triage, reporting, follow-ups — handed off to AI that's been tested against your real work and proven trustworthy before it takes anything over.
Who this is for
Two people, one root cause
The ops leader drowning in manual triage
Someone on your team is copy-pasting between three tools every morning, manually routing tickets or reconciling records, and calling it "the job" because it's always been the job. It doesn't have to be.
The founder who wants a pilot that ships
You've seen a slick AI demo. You want the version that holds up against real customers, real paperwork, and real exceptions — not another proof of concept that quietly dies after the meeting.
The failure mode
The pilot that never ships
Here's the villain of this whole category: an AI tool that looks great in the demo, gets a round of applause, and then never gets trusted with real work — because nobody built a way to know when it's wrong, and nobody owns it. Six months later it's a slide in a deck nobody opens. I don't build those.
What happens
First we map the work. Then AI takes the right parts.
We start by sitting down with the people who actually do the work and breaking the process into steps — what comes in, what decision gets made, what goes out, and where the hours really go. Most processes have three or four steps that eat most of the time. Those are the ones worth handing to AI; the judgment calls stay with your team.
Then I bring in industry-standard AI from OpenAI and Anthropic — the same technology behind ChatGPT and Claude — and wire it into the tools you already use: your inbox, your spreadsheets, your CRM, your ticketing system. No rip-and-replace, no new software for your team to learn.
Before anything takes over, it has to prove itself. The automation runs alongside your team on real work while we compare its answers to what your people would have done. You see the accuracy numbers before you rely on them, and a person stays in the loop for the calls that matter. Only when the results earn your trust does it take the routine work off your team's plate for good.
What you walk away with
Working automation, not a slide deck
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Automation doing real work
Running inside the tools you already use, handling your real volume — not a demo environment.
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Proof you can see
Plain-English reports of what it did and how accurate it is, owned by someone on your team — not dependent on me staying on retainer forever.
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A clear list of what still needs a person
Every automation has limits. You'll know exactly which decisions stay with your team instead of finding out from an angry customer.
How pricing works
Fixed scope, fixed fee, agreed up front
| Engagement | Detail | How it's priced |
|---|---|---|
| AI Transformation Strategy | A focused session, written recommendation, credits forward | Flat fee, credited forward |
| AI Readiness / Discovery Sprint | 2 weeks, remote-first | Fixed fee for the two weeks |
| Automation pilot | Single process, 4–8 weeks | Fixed fee, scoped after discovery |
| Ongoing retainer | Continuing improvement after the build ships | Scoped to your cadence |
| Fractional AI leadership | Up to 3 days/week | Monthly retainer, scoped to days |
Most engagements start with a short AI transformation strategy session — a focused conversation and a written recommendation, credited toward whatever comes next. Everything after that is a fixed fee against a written scope — remote is priced the same as on-site work, on-site carries a day-rate premium plus travel at cost, and the number doesn't move mid-engagement. You'll have it in writing before anyone starts.