New brokerage platform hopes AI can close the mid-market growth gap

AGI launches with $70 million in funding as the buyer pool for independent agencies shrinks to its narrowest point in years

New brokerage platform hopes AI can close the mid-market growth gap

Transformation

By Mark Rosanes

American Growth Insurance has launched an AI-enabled specialty brokerage platform with nearly $70 million in committed equity funding, targeting commercial and personal lines clients through an acquisition-led model that its backers say is built differently from the PE-backed consolidators that dominate the existing buyer pool. Atlanta-based AGI is backed by Rockbridge Growth Equity and Atomic, a venture capital studio, with CEO Brian Morgan - previously chief revenue officer at Keystone Agency Partners and a veteran of Marsh, Willis, Integro and The Plexus Groupe - leading the platform.

The market conditions it is entering give the timing its specific commercial logic. The top 50 US insurance brokerage firms account for 96% of total industry revenue, with the next 50 at just 4% per MarshBerry data. Active acquirers fell from 104 firms to just 95 in 2025 per OPTIS Partners, the five-year CAGR for firms ranked 50 to 100 averages 7.1% - less than half the rate posted by the top 50 - and organic growth is increasingly difficult to sustain at smaller scale. For independent agencies outside the top tier, the consolidation market is closing around them faster than they can grow.

The architectural distinction

The claim AGI is making is structural rather than incremental. Michael Stenclik, vice president at Atomic, said insurance distribution has never been rebuilt from the architecture up. "The value of AI compounds only when it shapes the whole operating company rather than sitting on top of it as another tool," he said. For independent owners weighing a sale, that framing matters because most existing consolidators layer technology onto acquired agencies after closing - AGI is proposing to embed AI into the operating model before and during acquisition rather than after it. Whether that produces materially different outcomes at scale is the specific question the platform's early data raises without yet resolving.

Morgan said the firm operates as a partner rather than a traditional consolidator, with partner firms retaining a seat in shaping strategy and technology decisions - a governance structure that positions AGI as a peer platform rather than an acquirer extracting margin through centralisation.

The pilot data and its limits

Before completing its first acquisition, AGI spent a year working with 10 agencies to develop and test its operating model, reporting that the pilot lifted average agency profitability by more than 50% through revenue gains and productivity improvements. With one acquisition closed, the firm plans to complete several more deals and surpass $10 million in revenue by the end of 2026.

The 50%-plus profitability lift is the commercial claim AGI is leading with, and it is the figure independent owners will scrutinise most carefully. A 10-agency pilot gives it a specific evidential foundation - more than a concept, less than proof of scale. The gain needs to hold across varied book compositions, markets and geographies before it can be treated as a predictable outcome rather than a favourable early result. That verification question is what the next several acquisitions will answer.

The market conditions AGI is entering give the platform its specific commercial rationale. An AI-first model that demonstrably improves profitability before a sale - rather than after - addresses a gap the existing consolidation market has not closed. Whether it delivers on that premise is the question its next phase of acquisitions will either confirm or complicate.

Related Stories

Keep up with the latest news and events

Join our mailing list, it’s free!