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NATINATI
Advise

Four areas of expertise. One grounded approach.

Short, well-scoped missions that start on the ground: we understand, we structure, we equip, then we measure what has changed.

Four areas of expertise

01 Data & Decision

Bring scattered data together into a clear picture: make files reliable, connect sources, build dashboards that serve an actual decision.

02 AI & Automation

Simplify the work and make time for what matters. Spot where AI really pays off, and where a simple tool will do. Test small before rolling out big.

03 Operations & Transformation

Connect people, resources and action on the ground: flows, stock, planning, event logistics, running a club.

04 Performance Intelligence

Put results in context to understand what drives progress: load, tests, sessions and metrics read together, by the athlete and by the staff.

Mission formats

Short, well-scoped missions.

Every mission has a clear goal, duration and deliverable. We often start with a diagnostic.

  • Diagnostic
  • Data structuring
  • Automation
  • Dashboards
  • AI framing & POC
  • On-the-ground support
Where it applies

A method born in sport, useful everywhere.

Sport is our first field, our showcase and our proof. The method carries over to events, businesses and institutions.

Sport and performance

Clubs · federations · academies

  • Bringing order to a club’s data: results, tests, sessions.
  • Athlete tracking the whole staff can read.
  • Clean handovers between coaches and seasons.

Events

Organisers · committees · local authorities

  • Operational planning: courses, logistics, volunteers.
  • On-site coordination and a race-day dashboard.
  • A data-backed debrief for partners and funders.

Businesses and institutions

SMEs · groups · associations · public bodies

  • Making unmanageable spreadsheets reliable and automated.
  • Dashboards for stock, flows and activity.
  • Framing AI: profitable use cases, POCs, a usage charter.
  • Clear reporting for a board, a director or a funder.
AI, with method

Useful, framed, human.

AI in the business

  • Spotting where AI really pays off, and where a simple tool will do.
  • Testing small before rolling out big.

Governance and trust

  • GDPR and the EU AI Act built in from the start.
  • Bias, errors, confidentiality: managed risks and a clear usage charter.

The human factor

  • Keeping a critical eye on what an AI suggests.
  • Bringing teams along, from the crew to the staff: the more we automate, the more people matter.
The NATI method

From data to performance.

Data is a starting point. Its value lies in what it helps you understand, decide and improve.

  1. DataBring it together, make it reliable.
  2. UnderstandingFind the meaning.
  3. DecisionMake informed choices.
  4. ActionPut ideas to work.
  5. PerformanceMeasure and improve.

Our standard

Aim for excellence, without overdoing it.

  • Start from the field, not the technology.
  • No two performances are alike.
  • The simplest system that truly solves the problem.
  • No AI where a simple tool will do.
  • No metric without a decision behind it.
  • No manual entry when the data can arrive on its own.

Calibrated, not copied. Data explains, AI suggests, the coach decides.

One need, one mission.

Describe your situation in a few lines: that is where every mission starts.

Discuss your project