# Fractional CTO Advisory for Startups

> Fractional CTO advisory gives post-seed through Series A founders access to a senior engineering leader for about half a day per week — typically $800/month for monthly advisor (weekly call + async) or $2,000/month embedded one day/week — for architecture review, AI adoption, hiring calibration, and unblocking the eng team when the lead is stuck.

**Author:** Muneeb Hussain · Fractional CTO & AI Advisor
**Last updated:** 2026-05-26
**Engagement:** Monthly advisor — $800/mo
**Best for:** Seed → Series A with a small eng team and no senior eng leader.

**Book:** [https://cal.com/themuneebh/30min](https://cal.com/themuneebh/30min) · **Email:** [hello@themuneebh.com](mailto:hello@themuneebh.com)

## What is fractional CTO advisory?

A fractional CTO is a senior engineering leader who works with your company part-time — not as a full-time hire, not as a consulting firm pitching a bench of juniors. You get one person's judgment, applied consistently over months.

The role covers architecture and technical review, AI adoption strategy, eng hiring calibration, team unblocks, and pre-funding technical narrative — without day-to-day people management or writing your production code.

## Fractional CTO vs. full-time CTO vs. consultant

Founders often hire too early or too late. This table clarifies when each option fits.

- Fractional CTO ($800–2k/mo) — you have 2–15 engineers, need senior judgment weekly, cannot afford or don't yet need full-time. Best post-seed through Series A.
- Full-time CTO ($200k+/yr) — you need daily leadership, org design, and someone accountable for delivery velocity. Usually post–Series A with 15+ engineers.
- Consulting firm ($15k+/mo) — you need a team to build a deliverable. Different problem; I am brain-not-hands advisory, not staff augmentation.

## What I do as your fractional CTO

Engagements are retainer-based with a clear SLA for async response. I am currently Head of Engineering at Hashone Digital — twelve engineers, production AI systems — so advice reflects what works at scale today.

- Architecture & technical review — codebase walkthroughs, ADR feedback, scaling decisions, build-vs-buy.
- AI adoption strategy — what to automate vs. hype, model selection, where agents fail vs. one LLM call.
- Eng hiring calibration — interview rubrics, sitting in senior loops, leveling debates.
- Team unblocks — when the lead engineer is stuck on something an outside brain solves in 30 minutes.
- Pre-launch / pre-funding technical narrative — eng story for investor deck or DD pack.

## What I will not do

Disqualifying honestly is part of the service. If you need full-time CTO coverage, production code as the primary deliverable, or a recruiter — I will say so on the first call and point you in the right direction.

## Proof points

- 12 engineers led, 25+ mentored, 8 years shipping
- Goal for client teams: ~10× engineer leverage via AI-augmented workflows

## FAQ

### Aren't you working full-time somewhere?

Yes — that is the point. You get someone currently doing the job at scale, about half a day a week, with evenings/weekends for async and a clear response-time SLA.

### What if I actually need a full-time CTO?

I will say so on the first call. Disqualifying honestly is part of the service — and I can help calibrate what to hire for.

### Do you take equity?

Sometimes as a bonus on top of cash retainer, never instead of it. Never trade rate for cap table alone.

### How is this different from an ex-CTO advisor?

I am actively Head of Engineering running twelve engineers on production AI — not advising from a memory of 2019. Differentiator: currently operating, not retired from building.

## Links

- HTML version: [https://themuneebh.com/fractional-cto-advisory](https://themuneebh.com/fractional-cto-advisory)
- Homepage: [https://themuneebh.com/](https://themuneebh.com/)
- LLM index: [/llms.txt](https://themuneebh.com/llms.txt)

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