AI Consulting: From Strategy to Production

Most AI initiatives stall between the idea and the first working version. The questions that decide success are practical ones: which problem is worth solving first, what data you actually have, build or buy, which model, what it will cost to run, and how you will know it works.

I consult as an engineer, not a presenter. The output of an engagement is a decision you can act on — and, if you want, the system itself.

What an engagement covers

• Opportunity review — where AI would change outcomes in your business, ranked by value and effort.
• Architecture — models, retrieval, integrations, data handling and security.
• Build-or-buy — when an off-the-shelf tool is enough and when custom work pays off.
• Delivery plan — a first version small enough to ship and measure.
• Review of existing AI work — prompts, pipelines, evaluation and cost.

Who it is for

Companies starting with AI and unsure where to begin; teams with a prototype that is not ready for production; and leaders who need an independent technical view before committing budget.

Background

CPTO at One Studio (agentic operating layer), Senior Engineering Manager at ID8 Media (Arabic AI intelligence platform), and builder of CaBrain and Orchestra MCP. For ongoing technical leadership rather than a focused engagement, see Fractional CTO.

Ready to talk? Book a consultation, or go straight to AI integration if you already know what to build.

FAQ

Do you only advise, or also build?

Both. An engagement can end with a plan, or continue into building the system with your team.

What do we need to prepare?

A description of the process or product you want to improve, and access to whoever knows the data. No AI background is needed.

Can you review an AI project that is already in progress?

Yes — architecture, prompts, retrieval, evaluation and costs, with concrete recommendations.