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Fractional AI & CTO Leadership

Senior technology leadership without the full-time overhead.

Strategy, architecture, vendor decisions, AI direction, and team oversight on a part-time basis that fits your stage.

For decisions too important to leave to guesswork.

AI roadmap and opportunity selection
Architecture and platform oversight
Technical hiring and delivery judgment
Executive-level communication
Who this is for

When you need senior judgment before permanent headcount.

You're scaling fast and need a technical co-pilot

For founders and leadership teams who need senior technical judgment before a full-time CTO hire makes sense.

You're embedding AI and need someone who's done it

For operators, product teams, and executives deciding where AI belongs in real workflows.

You need architecture oversight without a full-time hire

For teams modernizing platforms, integrations, data flows, and AI-ready systems.

What you get

A senior technical operator in your corner.

Weekly 1:1 strategy sessions
Architecture reviews and technical roadmap
AI vendor and tooling decisions
Engineering team oversight and hiring support
Board or investor technical communication
On-call support for critical technical decisions
Engagement Details

Commitment

Part-time, typically 8-16 hrs/month

Duration

3-month minimum, rolling thereafter

Format

Remote with optional on-site days

Pricing

Typically $4K-$10K/month depending on scope

Schedule a no-obligation call
SM
Shahzad Masud, Founder and Principal Consultant at Masuds Labs
About Shahzad

Founder-led means accountable technical leadership.

Shahzad Masud brings 15+ years across solution architecture, principal engineering, enterprise systems, AI delivery, and C-level technology decisions. That includes build-vs-buy calls, AI vendor selection, platform modernization, engineering team scaling, and the uncomfortable tradeoffs between speed, cost, risk, and technical debt.

Masuds exists for teams that need senior technical judgment and working software, not another strategy deck. The engagement is designed to give founders and executives a technical operator who can challenge assumptions, de-risk architecture, and help the team decide what to fund next.

Build vs buy and vendor selection

AI roadmap and governance decisions

Engineering scale-up and delivery oversight