Case Study: Securitas achieves 90%+ credit auto-approval and 75% reduction in credit workload with Dun & Bradstreet

Securitas Increases Credit Auto-Approval Rate to 90%+ with Automation

Securitas, a global security services provider, faced an inefficient, labor-intensive credit review process that pulled finance and field sales away from revenue-generating work. Manual reviews, fragmented inputs, and a low auto-approval rate (around 40–50%) left the team reactive and unable to scale credit operations or provide timely risk and collections insight to the business.

Working with Dun & Bradstreet, Securitas implemented a custom, ML-driven credit scorecard in DNBi and integrated it into Salesforce via API, enabling plug‑and‑play automated credit decisions and better portfolio analytics. Within six months auto-approvals rose to 90%+, credit resource needs fell by 75%, the team repurposed freed capacity into a Business Services Team, and the company realized $400K in value, 6,500 hours returned to the field and revenue growth of more than 6%—all with no operational disruption.

Securitas

Christopher Rios

VP Finance