
A fractional CTO for AI. Leadership, without the headcount.
Technical leadership on 1–3 days a week, without a full-time executive hire.
Some gaps aren't about engineering hands — they're about someone senior enough to own architecture decisions, AI vendor and build-vs-buy evaluation, hiring plans, and the technical half of the roadmap. A fractional CTO gives you that leadership on a schedule that matches what an early-stage or lean team actually needs, without the cost or commitment of a full-time executive.

- Seniority
- 10+ years engineering, prior CTO/VP Engineering experience
- Background
- Architecture strategy, team scaling, vendor/build decisions, technical due diligence
What they'll actually do.
Not a job description — the work this person owns from their first sprint, inside your codebase and your process.
Work this bench has shipped.

Concordia Colleges — 150-Branch SIS Platform
A complete Student Information System for a network of 150+ college branches: revenue and royalty management, fees, LMS, student and teacher operations, payroll, and accounts — unified on one platform.

Cove — Home Security Platform Consolidation
Operator portal, headless CMS, and marketing platform for a US home-security device ecosystem — three disconnected systems consolidated into one operator experience.

Gigbase — Multi-Tenant Agency Operating System
A multi-user agency management portal: projects, teams, clients, contracts, invoicing, real-time chat, meeting scheduling, and an admin-trained AI knowledge assistant — one subscription-based workspace.
Tell us the role, the stack, and when you need them started.
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement this bench shipped.
From intro call to embedded.
Matched to your stage, not a generic playbook — someone who's actually carried the title, not just advised around it.
Intro call
Understand the gap — is this a hands-on need or a leadership need?
Scope
Agree the days/week and the first 90-day priorities.
Embed
Recurring architecture, hiring, and roadmap involvement on schedule.
Review
Monthly check-in against the priorities set at kickoff.
Month-to-month after a short minimum — no tiers, no bundled subscription, no lock-in. You keep the leadership only as long as it's earning its place.
Beyond Technologies ensured a streamlined workflow with consistent project updates throughout — the platform now runs our entire network.
Asked on every first call.
A consultant advises; a fractional CTO owns decisions on a recurring schedule — architecture calls, hiring plans, vendor decisions — the way an internal executive would, just part-time.
Sometimes, by client choice — we don't structure it as a pipeline to a placement fee. It's ongoing fractional leadership for as long as it's useful.
Scoped to days/week — 1 day for advisory-level involvement, up to 3+ for deeply embedded leadership. You'll know the number after the intro call, not after a proposal cycle.
One call. Then a name, not a pipeline.
- 30 minutes with a senior engineer, not a recruiter
- Free and no-obligation — bring the role and the stack
- You leave knowing who we'd match and how fast they can start
- We reply within one business day
Anthropic-certified engineering capacity for Claude-native products and agents.
Senior LLM application engineering, without the vendor lock-in.
Agent and workflow-automation engineering, embedded in your team.
Full-stack web and mobile engineering, AI-accelerated, senior-owned.
Fractional AI leadership — roadmap, governance, and vendor decisions.
Retrieval pipeline engineering — the discipline behind every trustworthy RAG system.
Deployment, monitoring, and cost control for production AI systems.
Pipelines, warehousing, and AI-ready data infrastructure.
Systematic prompt and context design, tested against real outcomes.
Product management for AI features and roadmaps, grounded in what's actually feasible.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.