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AI projects · internal apps · automation

I build the internal apps, dashboards and automations that turn AI use cases into concrete, reliable tools your team can use every day.

One email is enough · Personal reply within one business day

Before

Manual
Scattered
Fragile

Business workflow automated with AI

After

AI
Reliable
Used

A manual process becomes a reliable AI tool.

Talk to Hugo

Proof before process

Case studiesConcrete work, measured results

Operational control room

Automated social media workflow

  • 100 profiles
  • around 9,000 actions/day

Before20 theoretical operators

After1 supervision operator

A human workflow that could not scale becomes a supervised operation.

View case study

Guided ops workstation

Guided operations platform

  • Guided workflow
  • audit trail
  • AI failure analysis

Before30-40 min per operation

After20-25 min per operation

A complex manual process becomes a clear, traceable internal app.

View case study

Have an AI project or use case to scope?

Understand the scoping process

Your project can start here

Scope an AI project

Turn a vague idea into a clear, prioritized and buildable use case.

Prototype an AI tool

Build a first usable version to validate the workflow, data and business value.

Build an internal app

Replace a manual process with a clear, connected business tool your team can use.

Automate a business workflow

Make repetitive execution reliable with supervision, logs, visible errors and recovery paths.

Project frame

Before building, we make the project concrete

An AI idea becomes useful when we know which workflow it improves, which data it uses and how the team will use it.

The exact use case

Which problem truly deserves automation or an AI layer?

The users

Who uses the tool, when, and under which operational constraints?

The available data

Which sources can be connected, cleaned or exposed without weakening the process?

The first useful tool

Which first deliverable is small enough to ship quickly and useful enough to be adopted?

The required guardrails

How do we supervise, correct, trace and evolve the tool without creating a black box?

From the client side

In their own words

Three projects, three different experiences.

Web product · LP Labs
Hugo understood HypeRPC almost immediately. I had described an idea; he came back with a product that felt clear, fast and true to what I had in mind. It’s rare to feel that well understood on a project.
Portrait of Lucas PellegrinoLucas PellegrinoCo-founderLP Labs
Operations automation · OCS
Hugo took ownership and carried the project through with real autonomy. He understood quickly, kept moving without needing to be chased, and delivered something solid. Working with him was simple and effective.
Portrait of Olivier NachbaOlivier NachbaCo-founderOCS
AI integration · OCS
Hugo knows how to integrate AI without turning it into a gimmick. He starts with the real use case, chooses what genuinely adds value, and fits it cleanly into the product. For the team, everything stays simple.
Portrait of Thomas PantaleonThomas PantaleonFounder & CEOOCS

Discuss my project

An Epitech graduate, I have built my experience delivering internal tools, SaaS platforms and automation systems from business need through production.

I take responsibility for scoping, design, development and production rollout, working directly with business teams and technical stakeholders.

Leave your email address. I’ll contact you personally within one business day to understand your project and identify the best next step.

Hugo Caulfield

AI projects · internal apps · automation

Portrait of Hugo Caulfield