Hamburger
Close

Case study: The Provant Group

Boutique Broker leaves the quote game behind and builds a practice around proactive intelligence

The Provant Group leveraged Gradient AI’s SAIL™ predictive analytics solution to move from reactive negotiations to proactive, data-driven client conversations, without adding underwriters or actuaries to their team.

Key highlights:

  • Knowing the renewal before the carrier does:
    With SAIL, Provant models renewals six months in advance, giving clients a forward-looking view of their risk before the carrier’s number ever arrives, and giving Provant a data-backed position when it does
  • Turning data into dollars:
    When SAIL surfaced elevated drug spend on a 40-employee group tied to brand prescriptions where generics were available, Provant initiated a formulary conversation that drove a renewal reduction of more than 2%, a finding the carrier never would have shared
  • Seeing what others miss:
    SAIL identified that 40–55 members of a 130-employee group fell within a Type 2 diabetes risk range, giving the client population health visibility for the first time and opening the door to targeted condition management
  • Retention through clarity:
    Clients who understand what’s happening with their population mid-year don’t feel blindsided at renewal — and they don’t leave. Provant’s retention rates reflect that directly
  • A partnership, not just a platform:
    From day one, Provant helped shape the product, how reports looked, what data was surfaced, and what outputs actually worked for a boutique firm. Three years later, that collaboration with Gradient AI is still going strong.