# ProductiveHub

> ProductiveHub provides fractional CTO and CAIO leadership for AI-native companies. We pair senior technology direction with hands-on engineering and AI implementation in the same engagement, owned by one accountable executive. Founded by Segev Shmueli in 2019.

We work with seed-to-Series-B startups, founder-led companies that have outgrown the founding engineer, and PE-backed portfolio companies that need senior technology ownership without permanent headcount. Engagements typically combine technology strategy, architecture, AI implementation and governance, and hands-on engineering — in whatever mix fits the problem.

## Services

- [Fractional CTO Services](https://productivehub.com/services/fractional-cto): The canonical hub for our fractional CTO engagements. Strategy, architecture, AI implementation, hands-on engineering, and technical due diligence — owned by one accountable executive. Includes the eight FAQ buyers ask most.

## Fractional CTO and CAIO content

- [Fractional CTO vs CAIO: which one do you actually need?](https://productivehub.com/blog/fractional-cto-vs-caio): The difference between a fractional CTO and a fractional CAIO (Chief AI Officer), four signals that point to one over the other, and why a CTO+CAIO engagement run by one person is usually the right shape.
- [Fractional CTO cost: what you actually pay (and what you don't)](https://productivehub.com/blog/fractional-cto-cost): The five variables that drive fractional CTO cost, the three pricing models, and the four costs every buyer underestimates — including the value of avoided wrong decisions.
- [When to hire a fractional CTO (and when not to)](https://productivehub.com/blog/when-to-hire-a-fractional-cto): Six concrete signals that mean it's time to hire a fractional CTO, three counter-signals that mean it isn't, and the diagnostic questions that cut through most of the noise.
- [Fractional CTO vs full-time CTO: a decision framework](https://productivehub.com/blog/fractional-cto-vs-full-time-cto): A side-by-side framework covering cost, risk, decision rights, ramp time, and the bridge pattern most companies use to move from one to the other.

## AI governance content

- [AI Governance Framework: From Proof to Procurement](https://productivehub.com/blog/ai-governance-framework): The seven-artifact governance framework we use with clients moving into enterprise markets, plus the Stand-Prove-Procure Method for building one.
- [AI Governance Posture Assessment](https://productivehub.com/blog/ai-governance-posture-assessment): How to assess an organization's readiness to deploy AI responsibly across five dimensions.
- [AI Governance Measurement Layer](https://productivehub.com/blog/ai-governance-measurement-layer): The observability layer that makes AI governance evidence-based rather than aspirational.

## Selected case studies

- [Plover — Multi-model AI agent for event management](https://productivehub.com/case-studies/plover): An enterprise-grade AI agent shipped in a regulated environment, with security-first architecture and procurement-grade governance.
- [Cohost — Runtime server for an agentic outbound product](https://productivehub.com/case-studies/cohost-runtime-server): Platform engineering and Kubernetes work for a production AI system the team can actually operate.
- [AI Workflow Orchestration](https://productivehub.com/case-studies/ai-workflow-orchestration): Multi-agent systems wired into the actual data and tools an organization runs on.
- [Marketing Team — AI agents replacing headcount](https://productivehub.com/case-studies/marketing-team): An AI agent system that took over a full marketing operations workflow, with the governance to keep it running.
- [28 Days Later — Multi-agent system development](https://productivehub.com/case-studies/28-days-later): A multi-agent system shipped end-to-end in 28 days.
- [AI Teams Mesh — Elastic engineering mesh](https://productivehub.com/case-studies/ai-teams-mesh): The pattern for AI teams that scale across multiple companies without headcount lock-in.

## About

- [About ProductiveHub](https://productivehub.com/about): Background on the practice and how engagements are structured.
- [Contact](https://productivehub.com/contact): Start a conversation. The first call produces a written read on which technical decisions sit with you and which a fractional CTO should own.