An agent stack that qualifies, scores, and enriches every deal

Magnus Invest's growth model relies on sourcing and qualifying a high volume of off-market opportunities. The bottleneck was never finding leads. It was turning a constant stream of complex, unstructured data into qualified prospects fast enough to move on the right deals before someone else did.

Doing that manually did not scale.

• Financial data was locked in PDF annual reports that had to be read and extracted by hand.
• There was no centralised lead view, so opportunities slipped through gaps and scoring criteria were applied inconsistently.
• Contact enrichment consumed hours per prospect and lacked standardisation.

Ghost Team designed and built an agent stack that now does the qualification work the team used to do manually.

This was not a bolt-on AI tool. It was a qualification system owned by the business and designed to run the process in production.

• Agents ingest leads from industry databases and extract financial data out of PDF annual reports.
• The system applies Magnus Invest's scoring criteria systematically across 100% of leads.
• Agents enrich contact details across multiple sources, while edge cases route to a human.
• The rollout happened in two phases: a rapid proof of concept to validate the pattern, followed by a full production system built into Magnus Invest's existing automation infrastructure.

Magnus Invest is not just moving faster. They now have agents running the process that used to run the team.

• Qualification time dropped by 60%, with work that once anchored the team's day now running in the background.
• 100% of leads are now tracked, scored, and nurtured.
• Automated contact enrichment now succeeds in more than 70% of cases.
• The system is ready to process 10,000 to 15,000 leads without adding headcount.