Walk in. Find what's broken. Build the system. Get promoted. Repeat.

Most consultants come from consulting. I came from the inside.

For ten years I was the person companies hired to fix what was broken. Not as a contractor — as an employee. I joined sales teams with no CRM, no playbooks, no onboarding systems. I built them. Then I trained the people. Then I got promoted because the numbers moved.

This happened five times, across five industries, at companies ranging from startups to enterprise. The pattern was always the same: walk in, find the gaps, build the system, prove it works. At some point I realized this was the job — not sales, not ops, but the thing that sits between them. Now I do it for companies like yours, without the 18-month ramp-up.

  1. 01

    Payroll, HR, and onboarding systems

    Built sales cadences for automated payroll and HR services

    • Built outbound cadence systems that made payroll and HR automation easier to explain, repeat, and trust.
    • Learned how structured outreach turns complex back-office services into something buyers can actually move on.

    Complex HR automation made easy to trust

    This world taught me that even useful automation stalls when people do not trust how it works, what it changes, or whether it will make daily work calmer.

    Justworks

  2. 02

    Project, task, and cross-team workflow software

    Mapped advanced project services across recruiting, engineering, sales, and support

    • Learned how projects, tasks, owners, and reporting have to stay aligned across multiple teams and functions.
    • Saw that workflow automation only sticks when adoption, visibility, and handoffs are designed together.

    Workflow change sold across recruiting, engineering, sales, and support

    This vertical sharpened the lesson that adoption dies when each department keeps its own version of the workflow, ownership model, and reporting logic.

    monday.com

  3. 03

    Enterprise AI analysis and support operations

    Mapped AI analysis to large teams with cumbersome ticket volume

    • Worked through how AI analysis helps large businesses handle support complexity without adding more confusion.
    • Learned to tie technical AI capability to real operating pressure like ticket volume, triage, and enterprise support load.

    Enterprise AI tied to real support pressure

    This was the deeper AI lesson: the best enterprise use cases are not flashy demos, but heavy workflows where teams need analysis, routing, and relief from operational volume.

    Abacus.AI

  4. 04

    Engineering QA, test management, and bug operations

    Clarified how test-case management and bug tracking support engineering teams

    • Positioned ONES around test case management, bug tracking, and the operational flow between QA and engineering.
    • Learned how product, testing, and bug workflows need shared visibility to keep engineering execution moving.

    97% qualification across 100+ meetings

    ONES sharpened the lesson that engineering operations break down fast when testing, bugs, and delivery status are scattered across disconnected tools.

    ONES.com

  5. 05

    Secure logistics, revenue operations, and service handoffs

    Tested the model with small businesses operating nationally

    • Rebuilt Salesforce, monday.com, and reporting across sales, ops, and support for a fast-moving small business.
    • Proved the same systems work could help a national small-business operator run with more visibility and less admin drag.

    $4.2M pipeline on rebuilt operations

    This became the first strong proof that the same systems thinking works outside software too, especially for fast-moving operators with national complexity and lean teams.

    NST

Credentials & Education

AWS Cloud Practitioner (Certified)

Baruch College, City University of New York — BA

Now I do this for companies like yours.

Same pattern. Same results. Without the 18-month ramp-up.