Someone owns the AI roadmap. Finally.
Someone senior enough to own your AI roadmap, on a schedule that fits your stage.
AI initiatives stall without a senior owner accountable for the roadmap, not just the pilots. A fractional Chief AI Officer sets AI strategy, evaluates vendors and models, defines governance and evaluation standards, and reports progress against real business metrics — without the cost of a full-time hire most companies at this stage don't yet need.
- Seniority
- 8+ years in AI/ML leadership or senior applied AI engineering roles
- Background
- AI roadmap ownership, model/vendor evaluation, governance and evaluation standards, cross-functional AI adoption
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.
Inflectiv Helios — Multi-Assistant AI Platform
A multi-user AI assistant platform: specialized assistants per knowledge domain, conversational UI with history and personalization, Google Calendar/Meet integration, and full prompt observability — built to absorb new AI capabilities.
Haystack — AI Data Intelligence Platform
A data-driven intelligence platform: one AI search layer across documents, data lakes, and repositories, with real-time indexing, AI-driven correlation, and workflow automation — built to hold up under heavy data loads.
Beyond AIO — AI Business Management & Analytics Platform
An all-in-one AI-powered business platform: predictive analytics, competitor analysis, CRM, HRM, financial management, task management, and cross-channel marketing with real-time campaign optimization.
Disclosure — founder-owned venture
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 where your AI initiatives actually stall — not a generalist consultant applying a template roadmap.
Intro call
Understand where AI initiatives currently stall and who owns what today.
Scope
Agree the days/week and the first 90-day priorities.
Embed
Recurring roadmap, vendor, and governance involvement on schedule.
Review
Monthly check-in against business metrics, not activity.
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.
Asked on every first call.
Often yes — a CTO owns engineering broadly; a fractional AI officer focuses specifically on AI roadmap, governance, and vendor decisions, and can report into or alongside an existing CTO.
Usually a prioritized AI roadmap within the first month, similar in spirit to our standalone Readiness Assessment but delivered as ongoing owned leadership rather than a one-off report.
Scoped to days/week involved, the same way a fractional CTO engagement is — 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 technical leadership for teams that need direction, not headcount.
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.