About One & Done Smart Bids

Doing What's Best for the Client Is the Most Profitable Strategy for Agents

We built the decisioning engine that proved it with 1.756 million real-world Medicare scenarios. The findings are surprising.

Better Plan Alignment Lower Client Attrition Annual Auto-Reshopping Agent Revenue Growth

90.6%

of Medicare beneficiaries are on the wrong plan

$3,193

average annual overpayment per beneficiary

+77%

increase in agent revenue per client with AISmartBids

95%

client retention rate vs. 84% industry average

~2.5x

increase in agency valuation

90.6% of Your Clients Are on the Wrong Plan, Which Hurts Everyone

We analyzed 1.756 million real-world Medicare scenarios, a 3% national sample of all 59.3 million Medicare Part C and Part D enrollees. What we found was striking: nearly 91% of beneficiaries are currently enrolled in a suboptimal plan. They're overpaying an average of $3,193 per year out-of-pocket. Nationally, that adds up to more than $189 billion in annual overpayments.

For insurance agents and agencies, this isn't just a client problem, it's a revenue and retention problem. When clients don't feel well-served, they leave. When they leave, commissions drop and book-of-business valuations suffer.

For Beneficiaries

If you're on Medicare, there's a high probability you could be saving thousands of dollars each year. AISmartBids was built to find your optimal plan and automatically keep you in the best plan, year after year.

A Smarter Way to Recommend Medicare Plans

AISmartBids is a Medicare plan decisioning engine built around a single principle: every beneficiary deserves to be in their optimal plan based on their actual healthcare costs, prescriptions, and benefits preferences.

Our platform evaluates real plan options against each client's unique situation and surfaces the best recommendation. It does this clearly, transparently, and without the complexity that typically buries the right answer. Not only does this help clients feel confident in their decisions, it significantly reduces closing time for agents.

Traditional Approach

  • Commission-driven recommendations
  • Manual annual review (if it happens at all)
  • 84% client retention
  • $233 average revenue per client

AISmartBids Approach

  • Client-optimal recommendations
  • Automatic annual reshopping
  • 95% client retention
  • $417 average revenue per client
A Note on Market Fairness

When plan selection is driven by client fit rather than commission structure, market concentration naturally decreases. Our study found the top 4 carriers' combined share drops from 86.6% to 70.1%, while the best-performing carriers are actually rewarded. Humana's market share rises from 32% to 42.6%, demonstrating that a merit-based system doesn't penalize strong plans. It simply stops propping up weaker ones.

Set It and Forget It for Agents and Clients Alike

Medicare plans change every year. Premiums shift, formularies update, and what was optimal last October may not be optimal today. AISmartBids automatically reshops each client annually, so neither agents nor beneficiaries have to wonder whether something better is out there.

Our study shows that after Year 1 optimization, 79.9% of beneficiaries stay in their optimal plan with no action needed. The remaining 20.1% are automatically moved to the new optimal plan—keeping 100% client alignment every single year.

Increased retention coupled with the initial compensation for 20.1% of clients migrated to better plans, increases average revenue per client. For agents, this means higher income and increased client lifetime value.

Why This Matters for Agency Valuation

A 95% retention rate, more productive agents, and a growing, optimized book of business isn't just better for clients. They're the foundation of a more valuable agency. Our study projects a ~2.5x increase in agency valuation for firms that run AISmartBids.

Technology That Earns Trust by Being Transparent

AISmartBids is powered by advanced, patent pending, multi-variable plan optimization technologies. We designed it to surface clear, explainable recommendations, not be another black box. Agents can see exactly why a plan is recommended and clients can understand their options without needing a decoder ring.

We believe the right recommendation sells itself. Our platform doesn't pressure anyone, and gives agents a defensible, data-backed recommendation. This gives beneficiaries the confidence that someone is genuinely looking out for them.

Client-First, By Design and By Proof

One & Done Smart Bids was founded on a belief that has now been validated at scale: doing what's truly best for the client is the most profitable long-term strategy for agents and agencies.

We don't steer recommendations based on commission rates or traditional market pressures. We built a platform that agents can stand behind fully, because the math is on their side when the client wins.

Matt Ingalls

Founder, CEO, & Licensed Insurance Agent

Matt built One & Done after seeing firsthand how commission-driven Medicare recommendations were leaving clients, and agent relationships, worse off than they needed to be.

Ben Hofmann

Co-Founder & CTO

Ben architected the AISmartBids decisioning engine to be both rigorous enough to evaluate millions of scenarios and data points and simple enough to deliver a clear answer in seconds.

Medicare First. A Bigger Opportunity Ahead.

Today, One & Done Smart Bids specializes in Medicare Advantage (Part C) and Medicare Part D plan optimization. But the same decisioning framework that's already proven to improve outcomes and revenue in Medicare can be applied wherever complex, multi-variable insurance decisions are made.

Our long-term vision is a platform that helps insurance professionals, and the clients who rely on them, make every consequential coverage decision with confidence and clarity.

Ready to Grow Your Book of Business the Right Way?

Join the agents using AISmartBids and retain more clients, increase revenue, close faster, reach farther, and build agency value.