An AI partnership engine that finds, researches and contacts the right sponsors every morning

The problem before TechieBreed

SportConn grows through partnerships — sponsors, investors, strategic partners, facilities and communities. Every one of those relationships starts with hours of groundwork: finding companies that fit, researching them, working out who actually makes the decision, writing to them and following up. That groundwork was quietly eating the team's whole week, leaving less time for the conversations that actually win deals.

What the business was doing manually

• Searching for companies whose customers match SportConn's audience
• Researching each one — recent campaigns, past sponsorships, community programmes — and finding the right decision maker
• Writing outreach emails one at a time
• Keeping track of who had replied, what had bounced and who had asked not to be contacted
• Remembering when to follow up, and when to stop

What we built

We built the SportConn CRM with an AI partnership engine inside it.

One command centre. Every lead, pipeline and follow-up lives in one place, with a separate pipeline for sponsors, investors, strategic partners, facilities and communities — each tracked from the first hello to a signed deal.

An engine that runs itself. Every weekday morning it starts on its own in the cloud — no laptop left open, no one pressing start. It first reviews yesterday: who replied, what bounced and how much room is left in today's sending limit. If bounces creep up, it slows itself down.

Research with no guesswork. It finds companies whose customers look like SportConn's, skips anyone the team already knows or anyone who has asked not to be contacted, and studies the rest. Each company is scored out of 100 across six questions, from audience fit to whether there's a real decision maker to reach. Points only count for facts it found and can link to. Below 65, a company isn't saved; 80 and above is flagged as a priority.

Personal emails, not mass mail. For each qualified contact it writes one short email that opens with something real about their business, suggests one specific idea and asks for a 15-minute call — signed by a real person on the team.

How the system works

1. 1Engine starts itself every weekday morning
2. 2Finds and researches best-fit companies
3. 3Scores each one out of 100 on verified facts
4. 4Drafts one short, personal email per contact
5. 5CRM checks every rule before sending
6. 6Replies go straight to the team

What changed

The AI writes; the CRM decides. Before anything is sent, the CRM checks sending hours, daily and per-company limits, the do-not-contact list and that every address has a verified source. Anything that looks wrong is held for a person to review.

Approved emails go out in small batches through the working day so they land in inboxes, not spam. Every delivery is tracked, and bounces and opt-outs are blocked instantly to protect SportConn's sending reputation. When someone replies, follow-ups stop immediately — the reply lands with the team and the AI flags it as interested, wants a meeting or not right now. With no reply after four days, one polite follow-up goes out — never a third.

The engine dashboard measures what matters — not how many emails went out, but replies, meetings, proposals and partnerships closed. The team's time goes where deals are actually won: in conversations and in the room.

Results