The Kainos Team|Aug 11, 2026
How Maven Club finds relevant business leads automatically
Maven Club connects founders and entrepreneurs with meaningful commercial opportunities. Finding the right connections, however, requires more than a list of companies and contact details.
Someone needs to understand what each member offers, who they want to reach and what makes a potential introduction valuable. Researching businesses, checking their relevance and preparing that context can quickly become a substantial manual workload.
An AI lead-discovery workflow helps Maven Club identify promising prospects automatically and bring researched opportunities to the team for review.
Building around what makes a lead relevant
The engagement began by defining each participating member's ideal customer or partner profile.
Information from onboarding established what their business sells, its target industries and markets, the decision-makers it needs to reach, and any specific partnership requirements.
Our team connected these profiles to an approved set of sources, such as company websites, business directories and licensed business-data services. Existing contacts, previous introductions and excluded companies help prevent repetitive or unsuitable recommendations.
We manage the integrations, qualification criteria and ongoing maintenance, giving Maven Club a repeatable research process.
Meet Maven Club's AI lead-discovery assistant
The assistant searches connected sources on a recurring schedule, identifying companies that appear to match a member's commercial criteria.
It examines available business information and relevant signals, such as a company entering a new market, launching a product or advertising roles connected to a member's services. These signals support prioritisation without being treated as proof of buying intent.
For each potential lead, the assistant assembles a concise research brief: what the company does, why it may be relevant, the supporting sources and what still needs verification.
Where available through approved sources, it identifies relevant business contacts. Missing contact details are flagged rather than invented.
From research to a review-ready pipeline
Potential leads enter a customised CRM dashboard, organised by member, company, opportunity type and review status.
The Maven Club team can inspect the evidence, accept or dismiss recommendations, and record why a lead was unsuitable. Those decisions help refine subsequent searches.
For approved opportunities, AI drafts an outreach message or introduction explaining the potential relevance. The team retains approval over communications, and introductions involving members follow their consent preferences.
The actual impact
The workflow gives Maven Club:
Recurring lead discovery: New prospects surfaced without restarting research from scratch.
Less manual qualification: Company research and supporting evidence assembled in one place.
More relevant recommendations: Leads assessed against each member's business needs.
Clearer follow-through: Research, approvals and outreach status tracked in a shared pipeline.
Success is measured through research time saved, the proportion of leads accepted after review, and the relevant conversations generated—not simply the size of the contact list.