Our process - How we work

Every build starts with the bottleneck — the real, manual process that's quietly costing a business time and money. We go deep into the industry itself, not assumptions about it.

We talk to the people and businesses actually doing the work, watch where the hours and the money leak, and pin down what's genuinely worth automating. Sellora AI began this way: sitting with a live furniture retailer to understand how they really sell before deciding what to build.

The output of this phase isn't a pitch — it's an honest read on whether AI helps here at all, and where.

With the bottleneck understood, we architect the system: what gets automated, what stays human, and the realistic sequence to build it.

We break the work into a day-by-day plan with explicit, testable done-conditions — the same staged approach that took Sellora AI from Day 1 to a live launch. Real infrastructure is specified up front: no mock data, no placeholder APIs we'd have to rip out later.

We build real, working systems — not demos. Real authentication, real databases, and real third-party integrations, wired up and tested from day one.

Every change is confirmed to compile and run before we move on, and nothing is called done until it's demonstrated end-to-end — with real output, not “should work.”

We get the system live and into real hands, then let actual usage — not assumptions — drive what comes next.

We watch how people really use it, fix what the data surfaces, and keep improving. Sellora AI is live and in active iteration today, with Meno AI next in the pipeline.