A systems architect who models the business before choosing tools. I design internal platforms that connect sales, inventory, finance, production, reporting, and leadership visibility into one operating layer — ERPs, CRMs, workflow tools, dashboards, databases, and custom internal apps built around how the business actually works, not around a vendor's template.
I design internal platforms that connect sales, inventory, finance, production, reporting, and leadership visibility into one clearer operating layer.
This includes ERPs, CRMs, workflow tools, dashboards, databases, and custom internal apps built around how the business actually works.
The same path every time, scoped to what this work actually needs.
We start with the real operating pain: where work gets stuck, where data breaks, where teams lose visibility, and where decisions are harder than they should be.
I translate the business process into workflows, data models, rules, roles, integrations, and decision points. This is where we separate what should be automated, what should be calculated, what needs human judgment, and where AI can actually help.
I design and lead the build using the right tools for the job: low-code platforms, databases, dashboards, automations, AI workflows, or custom development when needed. For complex builds, I bring in trusted technical specialists while owning the product architecture and delivery.
A system only matters if people use it. I help teams roll out the workflow, train users, collect feedback, refine the experience, and make the tool part of daily operations.
MEGO
How do you replace a fragmented tool stack with one operating platform?
Read the case studyFACT
How do you make on-time delivery measurable in a CNC plant?
Read the case studySourceMate
How do you make prospect-to-cash attributable in one system?
Read the case studyFive steps: understand the mess, map the system, build the operating layer, drive adoption, and measure the outcome. He owns the product architecture, requirements, delivery, and adoption, and coordinates vetted technical specialists when a build needs deeper engineering.
That is the normal starting point. Ingestion and normalization are the first two stages of almost every system he has built — MISH begins by turning inconsistent sales, cost, and margin data into a shape that can be reasoned about before anything is detected or interpreted.
He designs and leads the build, and builds directly with low-code platforms, databases, dashboards, and AI workflows. For deeper engineering he coordinates trusted specialists while owning the architecture, requirements, and delivery.
More answers on cost, scope, and method on the FAQ page.

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