Every supporter,
on their terms.

A club knows its supporters in fragments. Ticketing knows who bought a season ticket, the shop knows who bought a shirt, the app knows who watches highlights, and the supporter liaison officer knows who has a complaint. Each sends its own messages, often to the same person on the same day, and none can answer a fan’s question that touches the others.

We join those fragments into one supporter view, built only from data the fan agreed to share for that purpose, and put two things on top. A service agent answers supporters in their own language across ticketing, membership, travel and accessibility questions, from your policies and their own record. A personalisation layer decides which messages a fan should get, and how often, within their marketing consent under GDPR and the ePrivacy rules.

For media and content teams, AI drafts match previews, translations and social variants from your own reporting and data, for the team to edit and post.

Service answers are tested against a season of real supporter questions, weighted toward the ones that went wrong: refund disputes, accessibility requests, reports of abuse in the stands. Routing those to a person is the gate. Personalisation is tested by holding a group back, so the club sees whether the messages change behaviour or just add volume.

Supporters are told when they are talking to an automated agent. Their data stays in systems the club controls and is not used to train a model.