how pdconsults works
pdconsults. begins with the decision, workflow, and information already running the business. The aim is to identify a useful opportunity with a clear owner before proposing a model, automation, dashboard, or new software stack.
( The Detail )
Start with the operating reality
That can mean mapping how a café understands supplier costs, how a Shopify store maintains product knowledge, or how a lean service team keeps client hand-offs from depending on one person’s memory.
Build a visible first loop
The first implementation is deliberately contained. It connects the relevant evidence, produces a decision-ready output, and preserves a review point for the person responsible for acting. The business can see what changed and judge whether it is genuinely useful.
Once a narrow loop works in practice, the same operating knowledge can support further reporting, workflow, or customer-facing work without treating AI as a black box.
How to approach it
Begin with the decision rather than the tool. Name the recurring judgement this affects, the information it depends on, and the person accountable for acting on the result. That framing keeps the first build small enough to inspect and useful enough to matter.
Keep a human review point in the loop until the quality and the failure modes are understood. A system that shows its working - what it drew on, where it is uncertain, and what it deliberately left alone - is one a business can keep running after the initial build.
( Next Step )
Start small enough to review, but on a workflow important enough to show whether a better system is worth building.