Remote operations and virtual assistant support for business owners and small teams. KPI reporting, process documentation, and AI-assisted automation that turns a recurring task into a system, not a standing chore.

I'm a CRTFD-trained AI Operator Specialist providing remote operations and virtual assistant support to Western business owners and teams. My focus is systems - KPI reporting, process documentation, and AI-assisted automation that turns a recurring task into something that runs without me in the room.
At Office Partners 360 (now part of iQor) I ran three simultaneous client accounts covering 100 agents and 8 team leaders - and I bring that same standard of accountability to every deliverable below.
Every tile is the full story - nothing here is hidden behind a click.
Building and documenting systems (Make.com, Claude/MCP workflows) that cut recurring task time and keep running unattended. Flagship example: a 5-module email triage automation that cut per-email handling time by 80 percent.
View the full case study →A 30-step Weekly KPI Review SOP with decision points and escalation paths, stress-tested twice against a reader with zero prior context.
A 5-competitor findings grid with a confidence rating on every data point, plus timed recommendations.
A 3-post LinkedIn batch from a single topic, each with a distinct hook and call to action.
A 5-slide client-facing vendor proposal with a full brand kit applied, checked against a six-point visual quality standard before it shipped.
A simulated first client week end to end - file system setup, prospect research, outreach quality control, and a real competing-deadline decision.
"AI drafts the work. The judgment call is still mine, every deliverable gets reviewed before a client ever sees it."
Built during CRTFD Phase 1 practice engagements with illustrative data. The methods and results are real and repeatable.
Catching a new client email meant someone had to be actively watching the inbox - open it, assess urgency, log it manually, and draft a reply from scratch. About 5 minutes per email, none of it happening unless someone was watching at the right moment.
Built a 5-module automation connecting Gmail, Sheets, and Slack. Checks the inbox every 15 minutes, logs and flags priority straight from the subject line, and drafts a first-pass reply held for human review before anything sends.
Manual handling time per email cut from about 5 minutes to about 1 minute of review. Zero missed items since it went live.
Saved per year at the stated volume - close to a full working month back, after a conservative 20 percent discount applied to the raw estimate.
A weekly 3-deliverable client reporting brief typically took 20-30 minutes to reach a first draft and ran 2-3 revision rounds before it was client-ready.
Produced the identical brief for the same data twice: once as a standard VA would, once using a structured AI-assisted workflow with client tone and metrics already on file.
Time to first draft, down from 20-30 minutes.
Revision rounds, down from 2-3 - freeing review time for judgment calls, not proofreading.
Full write-ups and source files available on request.
A 30-step documented procedure with decision points and escalation paths, stress-tested twice against a reader with zero prior context.
A 5-competitor findings grid with a confidence rating on every data point, plus timed recommendations.
A 3-post batch from a single topic - each post its own hook and call to action, none of them reading the same.
A 5-slide client-facing proposal with the client's full brand kit applied and checked against a six-point visual quality standard.
A simulated first client week end to end - file system, prospect research, outreach quality control, and a competing-deadline decision.
Three emails across three audiences - a prospective buyer, an external maintenance vendor, and the business owner - each adjusted in tone while following the same lead-with-the-point standard.
A Gold Standard 5-section status report that traces a billable-hours shortfall to two client-side approval delays, not a capacity problem, and closes with named-owner recommendations.
I work with one client at a time, so nothing gets split focus or half attention.