Proof And Outcomes

Proof you can actually check.

No placeholder logos or vague transformation claims — just a grounded result you can look at, and the standard every outcome here has to meet before it goes public.

Approved public proof

$24.5K verified, up to $44.5K engineered

One organization worked with Mozingo Systems to identify and engineer up to $44.5K in annual recurring savings across four systems — $24.5K of it fully realized and verified today.

  • Phone/communications system consolidation$10,800/yr
  • Microsoft 365 licensing cleanup$6,000/yr
  • File storage migration off paid cloud storage$7,700/yr
  • Verified subtotal, fully realized$24,500/yr
  • Security/camera migration off a $20K/yr integrator contract — decided before handoff, in progressup to $20,000/yr
  • Full engineered totalup to $44,500/yr

What's verified is labeled verified. What was in progress at handoff is labeled in progress. No blending the two into one clean number.

The outcomes this work is built to produce

  • Faster response ownership after a missed call or new inquiry.
  • More consistent review-request follow-through after completed work.
  • Cleaner reporting and fewer manual handoff gaps.
  • Clear before/after operational friction, not vague transformation claims.

Prior Employment Case Studies

Production systems built around real operational constraints.

These sanitized examples describe systems Frank built in prior employment. They are not Mozingo Systems client engagements, and proprietary infrastructure details are intentionally omitted.

Equipment Integration Dashboard

Shifted approximately 75% of support calls from Tier 3 to Tier 2.

C#, WPF, SQL, Linux, MES, equipment automation, and operational support across 15 production servers and 300+ tools.

Read the case study →

Manufacturing Data Consolidation

Unified eight production data sources in one troubleshooting interface.

A C#/WPF application suite with roughly 23 screens spanning equipment, maintenance, inventory, work orders, and incident context.

Read the case study →

What People Say

From people who've worked directly with Frank

“A problem solver. He has a knack for finding a technology solution that delivers for the customer, even if he must develop it himself. Frank is curious and a fast learner.”

Lance — direct manager

“My go-to person for many applications. He's made significant contributions by removing blockers for our team and developing streamlined workflows.”

Victoria — team lead

“Frank developed a custom automation dashboard that has become an essential tool for our team — used daily to streamline operations and improve efficiency.”

Scott — automation engineer

Ongoing Field Notes

Hands-on builds, documented as they happen

Beyond client work, Frank writes up real electronics, automation, and AI builds — successes and failures alike — on Substack.

Read the field notes →

Publishing Standard

How we keep proof honest

Anonymized when needed

Industry, team size, problem type, and outcome can be shown without naming a client.

Measured when possible

Preferred proof points tie back to cost, response speed, review activity, reliability, ownership, or decision quality.

Operationally grounded

Public proof should explain what was fixed in the workflow, not just what software was touched.

Kept conservative

Mozingo Systems would rather publish one credible outcome than a page full of padded claims.