Revenue Systems 01 AI Operations 02 Cloud Architecture 03 Results 04 AI Readiness 05 About 06 Book a Strategy Call
About NetRVA — Richmond, VA

Architecture-First.
Revenue-Focused.

NetRVA exists because growing businesses deserve engineering-grade operational infrastructure — not duct-taped tools, not consultant slide decks, not SaaS subscriptions that solve 20% of the problem.

$1M–$20M+Client revenue range
Architecture-firstOperating model
Richmond, VAHome base

01 Our Point of View

The operating thesis.

Most businesses between $1M and $20M share the same structural problem: the systems that got them to this point weren't designed for this point.

They run on a mix of manual processes, disconnected SaaS tools, spreadsheets, and tribal knowledge. It works — until growth makes it break. Revenue goes up but margin doesn't. Headcount grows faster than output. Leadership can't get answers from their own data.

We fix this by engineering the operational infrastructure — the revenue workflows, the data architecture, the AI-augmented processes — that let a business scale without scaling chaos.

02 Our Approach

How we work.

Architecture Before Code

We design the system before we build it. Schema, workflow logic, integration points, edge cases. You approve the blueprint. Then we execute.

Outcome Over Output

We don't measure success in features shipped or hours billed. We measure it in cycle time reduced, revenue recovered, and margin expanded.

Embedded, Not Advisory

We don't hand you a strategy document and walk away. We build the system, deploy it inside your operation, and make sure it delivers the measured outcome.

03 Leadership

The founder.

Michael Foutz, founder of NetRVA
Michael Foutz Founder

Michael Foutz built NetRVA on a simple thesis: businesses don't need more tools — they need better architecture.

With a background spanning database design, cloud infrastructure, AI integration, and custom software development, Michael operates as a fractional CTO for businesses that need systems thinking, not just software. He architects revenue workflows, designs data infrastructure, and deploys AI where it creates measurable operational leverage.

Every engagement starts the same way: understand the revenue model, map the operational friction, design the system that eliminates it, and measure the outcome.

Revenue Systems Architecture Database & Cloud Infrastructure AI Operations Engineering CTO Advisory

04 Our Clients

Who this is for.

We work with a specific kind of business. Not startups searching for product-market fit. Not enterprises with internal engineering teams. The businesses in between — $1M to $20M+ in revenue — that have real operational complexity but no one engineering the systems underneath.

You've outgrown spreadsheets and manual processes
Your revenue grows but your margin doesn't
You need architecture, not another SaaS subscription
You want AI deployed in operations, not as a science project
You need a builder who thinks in systems, not features

05 Clear Boundaries

What we don't do.

Deliberate exclusions. Saying no to this work is what keeps the engineering sharp.

We don't build marketing websites

We don't do break/fix IT support

We don't sell SaaS subscriptions

We don't write strategy decks without building what's in them

We don't take engagements where the ROI math doesn't work

06 Next Step

The right engagement starts with the right conversation.

30 minutes. No pitch deck. We assess your operational landscape and determine whether there's a system worth engineering. If there isn't, we'll tell you.

No pitch deck · No obligation · Response within 1 business day