Enterprise Technology Consulting

Move AI from
pilot to production
at enterprise scale.

MNA Solutions partners with mid-market and enterprise organizations to implement AI systems, modernize architecture, and build the engineering foundation needed to scale.

20+
Years Enterprise Experience
10+
Years Platform Architecture
1
USPTO Patent in IoT Security
F500
Clients Served

Senior engineering expertise, delivered as a consulting practice.

MNA Solutions was founded by a Principal Architect and Executive with over 20 years of hands-on experience designing and delivering enterprise-grade technology platforms across media, fintech, and regulated industries.

We work with organizations that are serious about technology — not just building proofs-of-concept, but shipping production systems that scale. Our engagements are built around real outcomes: AI systems that work in production, architectures that can grow, and engineering teams that execute.

Our founder has designed enterprise data platforms from the ground up, led multi-year architecture programs at Executive level — operating as both VP and contract CTO — and holds a USPTO patent in IoT security architecture, bringing both strategic depth and hands-on engineering credibility to every engagement.

🏛️
Executive-Level at Major Media Platforms
Oversaw architecture, implementation and management of API, Search and UGC platforms across major media enterprises. 20+ years of engineering leadership at scale, spanning VP and contract CTO roles.
🏗️
Enterprise Platform Built from Scratch
Designed and delivered a proprietary enterprise data platform, leading 10+ years of architecture decisions and engineering execution. Currently in active production use.
🔬
USPTO Patent — IoT Security Architecture
Named inventor on US Patent 12,301,608 B1: smart device fingerprinting for network security services, covering Bayesian packet analysis and real-time threat detection.
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Security & Compliance Frameworks
Practical architecture experience aligned to SOC2, ISO 27001, and NIST, delivering security-first systems across regulated enterprise environments.

Four practice areas.
One integrated approach.

Discuss Your Needs
01

AI Implementation

We take AI past the proof-of-concept stage and into production. From RAG system design and local model deployment to enterprise AI integrations, governance frameworks, and observability — we build systems that actually ship.

RAG Systems Local LLMs AI Governance Enterprise Integrations MLOps
02

Architecture Modernization

Legacy systems that can't scale are the hidden tax on every engineering team. We assess, redesign, and migrate — building cloud-native architectures with the observability and resilience modern organizations require.

Cloud-Native API Architecture Data Platforms Migration Planning System Design
03

DevOps & Infrastructure

Reliable engineering teams ship fast without breaking things. We design CI/CD pipelines, infrastructure-as-code practices, container orchestration, and the observability layer that lets you operate with confidence.

CI/CD IaC Kubernetes Observability SRE
04

Security Architecture

Security built into the architecture from day one — not retrofitted. Drawing on our IoT security patent and deep enterprise experience, we design systems aligned to SOC2, ISO 27001, and NIST frameworks from the ground up.

SOC2 ISO 27001 NIST IoT Security Zero Trust
05

Fractional CTO Advisory

Senior technical leadership without the full-time overhead. We work alongside your leadership team to set technology strategy, evaluate vendors, assess engineering teams, and translate business goals into executable engineering plans.

Tech Strategy Vendor Assessment Team Evaluation Roadmapping
06

Engineering Leadership

We bridge the gap between executive decision-making and engineering execution. Whether you need delivery planning, team structure design, or a technical partner for high-stakes decisions — we operate at the intersection of business and engineering.

Delivery Planning Team Design Technical Due Diligence Exec Advisory

We've built the systems we consult on.

Most consultants advise. We architect, build, and deliver — then hand it off with your team able to own it.

Production-First Mindset
Every recommendation we make is tested against one question: will this work in production at scale? We've built enterprise data platforms, media-scale APIs, and IoT security systems that operate in the real world — not just whiteboards.
No Handoff Cliff
Engagements end with your team owning the outcome. We document, train, and structure our delivery so the knowledge transfers. You shouldn't need us indefinitely — and we'll tell you that upfront.
Industry-Validated Expertise
A USPTO patent, Executive-level tenure at CBS Interactive (VP and contract CTO), and 10+ years of platform architecture mean we bring credentials that are current and verifiable — not legacy experience from a decade ago.
Right-Sized Engagements
We work as a focused practice, not a staffing agency. You get senior-level attention on your problems — not a junior team managed by someone you met in the pitch. Retainer, project, or advisory — structured around your needs.

Common Questions

What clients ask before working with us.

Straight answers to the questions that come up most in discovery calls.

What does MNA Solutions do?
MNA Solutions is an enterprise technology consulting practice that helps mid-market and enterprise organizations move AI systems from pilot into production, modernize legacy architecture, mature DevOps practices, and build security-first systems. The practice is led by a Principal Architect with 20+ years of enterprise engineering experience and a USPTO patent in IoT security architecture. Engagements are structured as project work, retainer, or fractional CTO advisory depending on the client's needs.
What is a fractional CTO, and when does a company need one?
A fractional CTO provides senior technical leadership — technology strategy, vendor assessment, architecture decisions, and engineering team evaluation — on a part-time or advisory basis rather than as a full-time executive hire. Companies typically bring in a fractional CTO when they need experienced technical judgment on high-stakes decisions but aren't yet at the size or budget to justify a full-time CTO, or when they need an objective outside perspective on an existing engineering organization.
Why do AI implementations stall at the pilot stage?
AI pilots commonly stall before reaching production because of gaps that proof-of-concept work doesn't surface: missing observability and monitoring, no governance framework for model behavior, unclear data pipelines, and architecture that wasn't designed to handle production load or failure modes. Moving from pilot to production requires the same engineering discipline as any other production system — CI/CD, testing, monitoring, and incident response — applied specifically to AI/ML components like RAG pipelines and model serving.
What industries and company sizes does MNA Solutions work with?
MNA Solutions works primarily with mid-market and enterprise organizations, including regulated industries such as media, fintech, and organizations with SOC2, ISO 27001, or NIST compliance requirements. Engagements are right-sized to the client — from focused project work and architecture reviews to ongoing fractional CTO or retainer relationships — rather than a one-size-fits-all staffing model.
How is MNA Solutions different from a typical IT consultancy?
MNA Solutions is a focused practice built around senior, hands-on engineering leadership rather than a staffing agency model. The founder has personally designed and delivered enterprise data platforms, media-scale APIs, and IoT security systems now in production use, and holds a USPTO patent in IoT security architecture. Engagements are structured so the client's team owns the outcome after handoff, rather than creating ongoing dependency on the consultancy.

Let's talk about your technology challenges.

No pitch, no pressure. A focused 30-minute conversation to understand what you're working on and whether we're a fit.

1. Meeting Type
2. Your Info
3. Confirm

What would you like to discuss?

🔍
Discovery Call
30 minutes
🤖
AI Strategy Session
60 minutes
🏗️
Architecture Review
60 minutes
Almost there.