Scouting AI
Decision support only

AI Intelligence

The Recruitment Intelligence Network

Scouting AI's engine interprets football requirements, assembles evidence and produces structured analysis — always as decision support for qualified recruitment professionals, never as automated decision-making.

AI assists — humans decide

The Recruitment Intelligence Network prepares research, surfaces candidates and structures evidence. Final recruitment recommendations, shortlist approvals and transfer decisions remain the responsibility of sporting directors, scouts and club leadership. All AI output is reviewable, explainable and subject to human oversight before action.

Architecture

Specialist agents, shared evidence layer

Each capability produces structured output linked to verifiable sources — not opaque scores.

Natural-language processing

Interpret recruitment requirements expressed in football terminology and translate them into structured search and analysis criteria.

Specialist agents

Dedicated agents for tactical fit, market context, performance trends and risk identification — each producing structured, reviewable output.

Evidence linking

Every AI-generated insight references supporting statistics, reports or market signals so recruiters can verify claims.

Confidence scoring

Transparent indicators show where data is comprehensive, partial or conflicting across sources.

Risk identification

Flag injury history patterns, adaptation concerns, contract complexity and stylistic mismatches with explainable reasoning.

Human review layer

AI summaries are presented for review — never auto-approved. Scouts and directors validate before recommendations proceed.

Continuous monitoring

Watchlist-linked agents track changes affecting shortlisted players and surface updates to assigned stakeholders.

Tactical fit

Evaluate role compatibility against your system

Tactical fit analysis maps player behaviours to your formation, pressing triggers and build-up patterns — producing explainable suitability scores with supporting evidence.

Demonstration dataLuca Hartmann

Analysis summary

Luca Hartmann demonstrates strong compatibility with a high defensive line and progressive build-up from the back. Left-footed profile supports inverted full-back systems. Pressing intensity aligns with front-foot defensive requirements. Primary adaptation consideration: transition speed against direct counter-attacking opponents.

92%

Formation fit (4-3-3)

86%

Pressing alignment

88%

Build-up contribution

88%

Overall tactical fit

Evidence linked: 14 statistical indicators, 2 scout reports, 3 video clip references

Recruitment risk

Explainable risk identification

Risk agents flag concerns with reasoning — injury patterns, adaptation challenges, contract complexity and stylistic mismatches — so recruiters can investigate before advancing targets.

Adaptation concern

Medium

Limited experience against top-tier pressing intensity. Recommend additional video review of recent away fixtures.

Contract complexity

Low

Contract expires 2027 with no reported release clause. Standard negotiation pathway expected.

Data completeness

Medium

Physical metrics available for 68% of tracked indicators. Confidence score reflects partial athletic data.

Injury history

Low

No significant absence pattern in last 24 months. Availability profile stable.

Human review

Every insight passes through professional judgment

AI-generated summaries appear in player profiles and board discussions as advisory content. Scouts validate observations. Directors approve shortlist advancement. No automated pipeline progression.

See Scouting AI in action

See the Recruitment Intelligence Network configured around your club's tactical identity and recruitment workflow.