GSP.

About

A dev shop for the age of working AI.

Global Software Partners started in 2021 as a custom software firm: ERPs, platforms, mobile apps. When AI got real, we did what dev shops do: learned it properly, shipped it carefully, and measured everything.

The story

Possibilities meet technology.

Most businesses don't have a software problem. They have a Tuesday-afternoon problem. The contract that takes four hours to review. The phone that rings while everyone is with a customer. The inbox where leads go to die.

We have spent years inside those Tuesday afternoons, first as custom software developers, now as AI engineers. The tools changed. The discipline did not. Understand the work, build the system, measure the result, stay accountable.

Today we design, build, host and operate AI systems for firms that would rather run the company than fight the software, and we ship the AI-search layer that gets them found.

  • Working software over slideware

    We don't sell AI strategy decks. We ship systems, put them in front of you, and let you drive them.

  • Your data stays yours

    Private deployments, access controls, audit trails. We build systems trained on your data without giving your data away.

  • Honest about the limits

    If a process shouldn't be automated, because it's cheaper by hand or riskier by machine, we say so in the first call.

  • Senior people, small teams

    No pyramid of juniors. Every engagement is staffed by engineers who have shipped production systems for years.

How we work

Five stages. No mystery.

A working prototype in two to four weeks, tested on your real data. Then production hardening, hosting, and a handover session that trains your team.

  1. 01

    Map

    artifact produced

    Process map and a written build, buy, or don't-bother recommendation

  2. 02

    Train on your methodology

    artifact produced

    Methodology capture: your templates, examples and review rules as a training corpus

  3. 03

    Build

    artifact produced

    The prototype, its eval set and the test log

  4. 04

    Host and operate

    artifact produced

    Runbook, monitoring, access and audit configuration

  5. 05

    Hand over with training

    artifact produced

    Training session, handover checklist, the repository and hosting under your accounts

Let's find the process worth automating.

A 30-minute intro call. You describe how the work gets done today. We tell you what AI can take off your plate, and what it cannot.

01 a reply within one business day / 02 a 30-minute call /03 a written recommendation: build, buy, or don't bother