Work

Private systems, real constraints, serious product work.

Most of the products I’ve built in recent years live inside private organizations. They support working teams, solve operational problems, and don’t lend themselves to a public showcase.

This page is an operational software hub: what I design, what I build, and how internal platforms evolve under real constraints.

Confidential case studies Operational systems AI-aware platforms
Andrea Gambedotti

What I usually build

Software built around operations, coordination, and decisions that actually matter.

My recent work has focused mostly on custom business software: operational suites, workflow-driven applications, order and service systems, sales support tools — products where clarity, reliability, and adaptability matter more than novelty.

Internal platforms

Systems shaped around how teams actually operate.

Planning, service, coordination, decision support — the dense workflows that generic software rarely fits well.

Interaction design

Interfaces designed for repeated, high-frequency use.

Not showcase pages, but products that need to stay legible, stable, and useful under real daily pressure.

AI integration

New capabilities added where they improve the product.

I’m interested in using AI for concrete product gains such as assisted classification, guided retrieval, and faster access to structured information inside real workflows.

Case study hub

Three operational software case studies, fully accessible without interactive filters.

Each case study is available as a standalone page with context, problem framing, role, delivery focus, and outcome.

Confidential Case Study 01

Operational Planning And Service Management Suite

A custom internal suite unifying planning, call handling, service interventions, notifications, and shared operational data for a 20-person company.

Read full case study

Confidential Case Study 02

Tablet-Based Order Entry System For A Distributed Sales Network

A field-oriented order entry product combining structured order capture, real-time product and pricing data, and integrated sales support for a nationwide sales force.

Read full case study

Working Pattern 03

Modernizing Operational Software Without Breaking Daily Work

A recurring pattern in my work: improving mature internal systems while preserving the business logic and operational trust teams already depend on.

Read full case study

Interactive preview

Open full case study
Open full case study
Open full case study

Confidential Case Study 01

Operational Planning And Service Management Suite

A custom internal suite unifying planning, call handling, service interventions, notifications, and shared operational data for a 20-person company.

Context

A growing company needed a central environment where multiple departments could coordinate planning, support activity, and service work without relying on fragmented tools or disconnected processes.

Problem

Planning, phone activity, and assistance workflows were distributed across separate habits and tools. The result was low visibility, weak auditability, and friction between departments that needed to act on the same information.

My role

  • Product designer
  • Main developer
  • UX/UI designer
  • DevOps owner

What I focused on

  • Shared planning across departments
  • Real-time frontend updates
  • Integrated notifications and reminders
  • Cross-application data coordination
  • Continuous business-specific iteration

Outcome

The suite became a shared operational layer for the company: tailored to the way the business actually worked, flexible enough to evolve continuously, and stable enough to support daily coordination across teams.

Skills in context

I work where product structure, interface systems, and implementation quality need to align.

Workflow design

Mapping real operational behavior before changing screens or features.

Interface systems

Designing dense, high-frequency interfaces that remain legible under real usage.

Implementation

Building the product itself, not stopping at specifications or visual direction.

AI integration

Extending traditional platforms with AI in ways that stay useful, grounded, and operationally coherent.

Next step

If one of these contexts matches your team, choose how you want to continue.