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FS Fábio Silva

Case studies

Work, told by the challenge.

Each case study follows the same honest structure: the challenge in human terms, the constraints, why AI was — or pointedly wasn't — used, the solution, and the result.

The challenge

Recruiters pay to source candidates and then lose them — every new role starts from scratch, even when the right person is already sitting in a folder of CVs nobody can search.

TalentMatch OS Every CV → a searchable asset

The challenge

A solar developer's land team spends 2–3 days hand-cross-referencing environmental layers, grid capacity and slope for every candidate site — and most sites fail the first filter.

Adamastor 2–3 days → 30 seconds

The challenge

Analysts lose most of their time to data preparation — fixing types, hunting duplicates, rebuilding the same Power Query flow for every new project — before the thinking can even start.

DataClean Studio Raw data → boardroom-ready

The challenge

Invoice data arrives as photos and PDFs in every layout imaginable — capturing it by hand is slow, and turning that pile into reliable, queryable spend indicators is a separate job entirely.

Invoice Agent Photo → queryable spend