Simply collecting videos, statistics, and match analyses is no longer enough to ensure a recruitment decision. It is also crucial to know the source of each piece of information, the cost of the analysis, and who validates the results. This is what ORONI offers: transforming a search into a well-defined mission, with a limited budget, accessible sources, and human validation.
In African football, talent detection relies on a multitude of difficult-to-structure elements: on-field observations, match videos, statistical reports, press articles, social media, and exchanges with local stakeholders. For a club, an academy, or an agent, the challenge is not only to find a player but also to justify why their profile deserves consideration for the next step.
Scouting is data-rich but lacks proof.
A player dossier is rarely built within a single tool. Numbers come from one side, while images arrive from another. A technical note is sent via message, an article provides contractual context, while an observer reports an injury or a position change. When presenting a choice to the staff, these elements must form a coherent whole.
The risk is well-known: information without a date, statistics without context, or an assessment turned into certainty can distort the hierarchy of profiles. Conversely, a well-documented decision allows for a distinction between what is established — matches played, position, contract duration according to available sources — and what falls under the scout's evaluation.
This is where an artificial intelligence agent proves useful, provided it does not become a new black box. Its value lies not in "guessing" the best player but in structuring the search, preserving references, and allowing decision-makers to inspect the reasoning.
An ORONI mission: plan, execute, verify
ORONI organizes the process into three steps: planning, assisted execution, and verification. Before starting, the user defines the expected outcome and the limits of the mission. During execution, the activity feed shows the actions taken, their results, and the validations required. At the end, files, sources, and history are preserved in the deliverables.
An example of a mission for an analyst could be formulated as follows:
“Based on the provided documents and identified public sources, create a comparative dossier of three defensive midfielders under 23 years old. Separate facts from judgments, cite each source, display missing information, and prepare a summary for a recruitment meeting.”
In this case, ORONI neither replaces the club's professional database nor the recruiter's expertise. The platform structures the documentary work: bringing together available elements, highlighting contradictions, preserving links, and presenting a conclusion that the staff can review point by point. The quality of the result naturally depends on the quality and accessibility of the provided sources.
Three concrete applications for clubs, academies, and agents
1. Create a truly usable player dossier
Using reports and references already available, a mission can gather the player's history, positions played, documented playing time, and technical observations. The goal is not to artificially standardize players but to quickly trace the source of each claim and identify areas requiring further investigation or a new perspective.
2. Track a diaspora player without losing context
For a player playing abroad, monitoring can cross-match match reports, coaching changes, club information, and data provided by the analyst. The challenge is not to confuse volume with proof: ten articles repeating the same information do not equal ten confirmations. A sourced summary helps distinguish the signal from the noise.
3. Prepare a recruitment meeting with comparable options
A staff does not always seek a single answer. They may want to compare multiple profiles, understand disagreements, and assess risks. ORONI provides outputs that separate consensus, disagreements, and recommendations. The final choice remains in the hands of the sporting director, with the arguments visible before them.
These three scenarios are suggested use cases by the editorial team and do not represent clients or federations already using ORONI.
Cost management and autonomy level remain transparent
For a sports organization, budget control is just as important as transparency. ORONI allows for setting a maximum budget and appropriately closing the mission when the limit is reached, with a partial report rather than an unbounded expense. The steps and costs are accessible during the work.
The user also chooses their level of autonomy:
- Propose: the agent prepares each action and awaits validation;
- Supervised: readings can progress while writings and commands require agreement;
- Autonomous: execution occurs in a restricted space, with critical actions always blocked.
Finally, events are timestamped and linked by a SHA-256 chained ledger. For a staff, this means it is possible to revisit what has been done and detect any subsequent modifications. The principle is simple: AI prepares, humans decide.
Proof over promise
ORONI has already published a measured pilot of its deliberation tool: ten internal decisions put into production, with a total observed technical cost of €0.0359, capped at €0.50. The page also specifies the limits of the exercise: these are not client missions, and these amounts do not represent the price of a scouting mission.
This distinction is crucial. The pilot does not prove that ORONI would be capable of evaluating an African player, nor does it guarantee that a club would achieve a specific sporting result. It documents a mechanism: observed costs, visible disagreements, and a recommendation that the user can control.
What this could change for African football
Resources vary from club to club. An academy following a few dozen young players does not have the same means as a professional structure equipped with several specialized software. In both cases, however, the decision benefits from documentation: who observed, on what source, with what uncertainties, and at what cost?
ORONI does not seek to replace the scout's eye, field knowledge, or relationship with a player. It offers a layer of work to make these elements easier to communicate and verify. The most relevant test is to start from a dossier already known to the staff, set a cap, and then compare the produced summary with the existing report.
To evaluate this method in a concrete case, discover oroni.fr and set up a first supervised mission.
Presentation article published in the Partners section. The scouting examples are editorial scenarios, not client references. The functions and figures cited are those published by ORONI as of October 29, 2026.
