1
  Scope

The short step that avoids
long detours

Clarify your needs, test the right leads, and decide what's next,
from 3 days, with experts who use AI every day.

For you
or with you

Delegate to move fast, or build with us to build up your skills. The line is flexible: you move between the two depending on the project phase.

From 3 days

You want a fast analysis, a clear recommendation, and initial tests handled by GDN.

Expert analysis Concise summary report Trajectory recommendation Proof of concept or targeted test if relevant Presentation

Mode

Expert scoping and, if useful, a proof of concept

  • GDN analysis and recommended scope.
  • Tests or proofs of concept carried out by GDN.
  • Recommendation: continue, move to pilot, or revise the project.
  • Business and technical documentation.
  • Staging, tests, and backups if needed.
Scope my project

Scope,
from 3 days

A short, bounded step to turn an intuition, an idea, or a business need into a realistic path forward.

You've already vibe-coded a prototype, or you want to build one? We start from there: we challenge it, keep what's useful, and bring it into a professional framework.

Your teams have already built tools with AI, sometimes used every day? We sort through them: we keep what's useful, set aside what isn't, and we decide what deserves to move to production.

We analyze, we challenge, we test: you decide what's next with full visibility, without committing months of development in the dark.

The scope is deliberately limited: the goal isn't to cover everything, but to test what matters first.

Scope my project
  1. 01

    Onboarding and needs analysis

    We dive into your business context:

    • Understanding the problem, stakes, and constraints
    • Identifying relevant AI opportunities
    • Mapping what exists: tools, data, processes, prototypes, and internal tools already in use

    Deliverable: clear scope and stated hypotheses

  2. 02

    Challenging the leads

    We confront ideas with reality:

    • Testing leads against real constraints
    • Trade-offs on cost, value, and risk
    • Choosing the first useful use case

    Deliverable: prioritized leads and decision criteria

  3. 03

    Useful tests or proof of concept

    We verify hypotheses against something concrete:

    • A test plan targeting the key hypotheses
    • Initial tests powered by AI
    • Proof of concept if the project warrants it

    Deliverable: hypotheses verified, visible, and demonstrable

  4. 04

    Presentation and decision

    You decide with full visibility:

    • Structured report and session replays
    • Realistic path forward and next steps
    • Clear recommendation from GDN

    Deliverable: a decision (proof of concept, pilot, or re-scoping)

You walk away with a clear decision
and, if needed to optimise your project, an AI prototype

The need comes up often: seeing AI work on your own context before investing. When a real-world test sharpens the decision, that's exactly what you get.

★ If your project needs it

An AI prototype, tested on your real cases

When a real-world test helps you decide: not a throwaway demo, but an AI prototype built by professionals, on your own context and data, designed from the outset for what comes next and run in a highly cost-efficient way. Demonstrable internally, with session replays to back it up: code and documentation delivered.

from 3 days

Always, in your debrief

  • The high-impact AI use cases, listed and prioritized
  • Verified AI hypotheses, tested on real cases, visible and demonstrable
  • A clear recommendation: continue, move to a pilot, or reframe
  • A realistic scope and path forward, with a clear, precise roadmap
  • A structured debrief + business and technical documentation

Enough to decide with full visibility. And, where relevant, an AI prototype to convince internally.

A clear decision, fast

Start

From 3 days

Engineering & development

+ 25,000 hrs per year

Experience

+ 20 years

Choosing the right path

Without scoping

False leads Blind budget

What often happens


  • Months of theoretical specs
  • Wrong use case chosen first
  • Budget committed without proof of value
  • Misaligned stakeholders
Recommended

With GDN scoping

Clear decision Controlled risk

What you get


  • Realistic path forward in a few days
  • Hypotheses tested against something concrete
  • First useful use case identified
  • Decision made with full visibility