# AI Consulting: From Strategy to Production

> Hands-on AI consulting: I help you choose the right AI use cases, design the architecture and get to a working system — advice from an engineer who builds and ships AI systems.

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](/en/projects/cabrain) and [Orchestra MCP](/en/projects/orchestra-mcp). For ongoing technical leadership rather than a focused engagement, see [Fractional CTO](/en/services/fractional-cto).

Ready to talk? [Book a consultation](/en/consulting), or go straight to [AI integration](/en/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.

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Source: https://fadymondy.com/en/ai/consulting