Process

We always start with discovery

We do not start with a generic AI solution. We start by learning how your business works, where the friction sits, and what kind of system will create the most value.

01

Discovery

Understand the business, current systems, and pain points.

Discovery artwork
02

Pilot

Choose one focused project that can prove value quickly.

Pilot artwork
03

Rollout

Refine the pilot with real data and expand into higher-value opportunities.

Rollout artwork
04

Licensing and support

Stay involved to support, improve, and grow the system over time.

Support artwork
Discovery collage artwork

Discovery detail

What discovery covers

This is where risk gets reduced and useful direction starts to emerge. We examine the business before we prescribe the system.

01

Systems review

We review how the current system works, where the bottlenecks are, who is involved, and what role Part Magic should play.

02

Benchmarking

We compare possible approaches, tools, and market patterns to avoid reinventing a weaker version of something that already works.

03

Data audit

We inspect inputs, outputs, data quality, privacy needs, and the security constraints that shape the solution.

04

Operational insights

We run conversations and workshops with key team members to uncover the realities a diagram alone will miss.

Start with discovery

The first step is understanding your business

We look at your systems, your bottlenecks, and your opportunities before recommending the next move.