Veritas Logic Systems | Fractional CTO for Growing Companies

Who I work with

Companies that need a CTO's judgment, not a CTO's salary.

Growing businesses

You've outgrown "the IT person," but a full-time technology executive doesn't make sense yet.

PE portfolio companies

You need a clear read on the technology you bought, and a plan for the first 100 days and beyond.

Leaders stuck with SaaS that doesn't fit

You're paying more every year for software your team works around rather than with.

Services

Three ways to work together.

Each one is scoped up front, so you know what you're getting and what it costs before we start.

Technology & AI Assessment

Fixed scope · 2–4 weeks

An independent, plain-English view of where your technology stands and what to do next.

Review of systems, vendors, and spend
Security and operational risk gaps
Where AI will and won't pay off for you
Prioritized 12-month roadmap with costs

Fractional CTO

Monthly retainer

Ongoing technology leadership for a set number of days a month, embedded with your team.

Technology strategy and roadmap
Vendor selection and contract management
Architecture and build-vs-buy decisions
Leading internal or outsourced teams
Reporting to owners and boards

AI-Native Build Pilot

Fixed scope · outcome-based

Pick one costly bottleneck or overpriced SaaS tool. I'll replace it with software you own.

Interview the people who do the work
Map the process and find the real constraint
Build a focused solution with AI-native engineering and strong quality controls
Hand over working software you own, with no per-seat SaaS fees

Approach

Start with the work, not the technology.

Listen

Talk with the people doing the work and map how it actually flows, using value stream mapping to find where time and money leak out.

Decide

Clear recommendations with costs and trade-offs, including when the right answer is to leave something alone.

Deliver

Lead the change or build it directly. AI speeds up the building; engineering discipline keeps it reliable.

About

Freddie Page

Founder & Principal, Veritas Logic Systems

Enterprise technology leadership at Michelin
20+ years in enterprise software, from code to architecture
Still hands-on: designs and builds AI-native systems
Based in Greenville, South Carolina

I'm a technical leader who never stopped building. Over more than 20 years in enterprise technology I've moved from writing code to leading architecture, cloud, and B2B distribution systems work at Michelin, and I still build. Most recently that's meant AI systems and AI-assisted engineering practices, where I've seen firsthand what delivers and what quietly creates new problems.

I started Veritas Logic Systems because the way software gets built has changed faster than most companies can take advantage of it. Large enterprises have teams to sort that out. Growing companies usually don't, and they're the ones paying the most for software that was never built for them.

Veritas means truth. My job is to tell you what's really going on with your technology, recommend what's worth doing, and then help get it done.

Writing

Thinking out loud.

AI-native engineering · Part 1 of 3

The Verification Tax: Faster AI Code, Less Stable Delivery

AI is helping teams write more code than ever. Much of that gain is being spent checking it. What the research says, and what it takes to get real productivity out of AI coding tools.

Read Part 1

AI-native engineering · Part 2 of 3

The Orchestrator's Fallacy: Why You Still Need to Understand the Code

Reading AI-generated code takes more skill than writing it, and when an agent gets something wrong, fixing the pull request is only the start.

Read Part 2

AI-native engineering · Part 3 of 3

The 3-Person AI Pod: How to Save the Junior Engineer

AI is taking over the work that once trained junior engineers. If companies stop hiring them, they'll eventually run out of senior engineers. Here's a team structure that keeps the pipeline open.

Read Part 3

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Senior technology leadership,
without the full-time hire.