CENTRAL CODE STATIONAI Strategy & Consulting
How we scope an AI engagement, step by step.
Strategy work isn't a separate product from development — it's the first phase of every AI engagement, and the reason our recommendations hold up once building starts.
Step 1: Understanding business goals first
Every engagement starts by understanding what the business is actually trying to achieve — not what AI capability sounds impressive. This shapes every recommendation that follows.
Step 2: Identifying high-value AI opportunities
Not every workflow benefits from AI, and not every AI opportunity is worth pursuing first. We rank opportunities by expected impact against cost and complexity, not by novelty.
Step 3: Choosing the right technology approach
Rules-based automation, a fine-tuned model, or a retrieval-augmented system are different tools for different problems. We match the approach to the problem, not the other way around.
Step 4: Designing scalable AI architectures
A proof of concept and a production system have different requirements. We design for the system you'll need at scale, even when starting with something smaller.
Step 5: Creating practical implementation plans
A strategy is only useful if it's actionable. Every engagement ends with a concrete plan — scope, sequencing, and what success looks like — not just a set of recommendations.