Faster to Quote: How Underwriting Leaders Are Using AI to Win More Business

Key Takeaways

‍Quoting speed is no longer a back-office metric. It directly drives revenue, broker loyalty, and profitability. Slow responses cost you business, while faster quotes with consistent accuracy help you win more accounts without hiring more underwriters. Inaza’s AI underwriting platform cuts submission processing time by 90 percent, enables teams to handle five times more volume, and improves loss ratios by more than five points — all while giving you a full audit trail.

Why quoting speed matters more than ever

If you lead underwriting at a carrier or MGA, you already feel the pressure. Your brokers want answers faster. Competitors respond within hours, sometimes minutes. Submissions stack up in inboxes, and your team struggles to keep pace.

The consequences are not abstract. In a competitive marketplace, the first accurate quote on a broker’s desk often wins. If your turnaround takes two days while another carrier responds in under an hour, you lose that piece of business. Multiply that across hundreds or thousands of submissions and the lost premium quickly adds up.

Brokers notice speed, and they reward it. When you quote faster and reliably, you become their go-to partner. When you lag, you become the last resort.

The bottleneck inside most underwriting teams

The main obstacle is not underwriting judgment. It is the manual grind around it. Submissions rarely arrive in clean formats. Instead, they come as unstructured PDFs, spreadsheets, or lengthy email threads. Someone on your team must:

• Re-key data into your system.
• Chase down missing information.
• Check loss runs, driver histories, or property details.
• Verify prior coverage and discount eligibility.
• Flag potential fraud.

Each of these tasks slows the process, and each introduces the risk of error. Even the best-trained underwriters, working long hours, cannot keep up. The result is a system that drags, not because of poor judgment, but because of broken workflows.

How AI changes the quoting equation

Artificial intelligence does not replace underwriters. It removes the busywork that slows them down. With the right AI platform, most of the manual intake, validation, and rule enforcement can be handled instantly in the background.

Inaza’s underwriting AI has already delivered measurable improvements for MGAs and carriers in the US P&C market. Here is what it achieves:

• 90 percent faster submission processing. Documents, emails, and attachments are ingested, cleaned, and structured automatically.
• Five times more capacity. Underwriters handle five times the submission volume with the same headcount.
• Up to 87 percent faster quote turnaround. Brokers get answers in hours instead of days.
• Loss ratios improved by over five points. Automation eliminates pricing errors, misapplied discounts, and premium leakage.
• Full audit trail. Every action and decision is logged, making compliance simple.

This combination of speed, scale, and accuracy allows underwriting leaders to meet broker expectations without expanding their teams.

What faster quoting looks like in practice

Speed alone does not win business. Speed with accuracy and compliance does. AI enables both.

Writing more business without hiring more staff

An MGA specializing in non-standard auto used Inaza to automate intake and rule enforcement. With the same underwriting team, they scaled their written premium fivefold. The team no longer spends its time cutting and pasting data. Instead, they focus on exceptions and complex risks.

Protecting the loss ratio through accuracy

Automation applies underwriting guidelines consistently. It checks documents, validates eligibility, and catches fraud indicators. For example, if a driver’s prior coverage proof is missing or a ZIP code does not align with the declared address, the system flags it. This prevents underpriced policies from slipping through and damaging your loss ratio.

Winning broker loyalty

Brokers live by speed and reliability. When you consistently return accurate quotes in a fraction of the time, you become their preferred partner. Hit ratios rise, submissions increase, and your top line grows.

Common concerns about AI in underwriting

Underwriting leaders often hesitate at the mention of AI. They have seen overpromises before. Let’s address the concerns directly.

Concern 1: Will AI replace my underwriters?

No. AI handles repetitive intake and validation. Your underwriters still make the judgment calls, handle exceptions, and price complex risks. AI is an assistant, not a replacement.

Concern 2: What about compliance and auditability?

Inaza logs every submission, data extract, and rule application in its data warehouse. You have full visibility into why a decision was made. This protects against regulatory risk and gives you confidence in audits.

Concern 3: Do I need to overhaul my systems?

No. Inaza plugs into your existing email, CRM, core platforms, and quote APIs. There is no need to rip out your infrastructure. Your team does not need retraining. The AI works in the background and delivers structured, decision-ready data.

The business case for AI quoting

The benefits of faster, more accurate quoting show up directly in your combined ratio.

• Loss ratio improves when every policy is priced correctly, fraud is caught, and guidelines are enforced consistently.
• Expense ratio improves when manual processing is cut and your existing team handles five times more business.

Even a two-point improvement in combined ratio translates to millions of dollars annually. Inaza has demonstrated improvements of more than five points in loss ratio alone, alongside a 90 percent reduction in processing time. That is not incremental change. It is transformational.

How to start

You do not need to transform your entire workflow overnight. The best approach is to start with one high-friction area.

• Automate submission intake. Let AI read emails, PDFs, and attachments and return structured data in seconds.
• Standardize loss runs. Instead of re-keying data, have AI extract it instantly.
• Validate discounts. Automatically check eligibility and prevent misapplication.
• Enforce underwriting rules. Ensure every quote meets guidelines before binding.

Each of these steps shows measurable ROI within weeks. Brokers see faster quotes, underwriters feel the workload ease, and leadership sees tangible improvements in capacity and ratios.

Looking ahead

The underwriting leaders who thrive will be those who combine speed with accuracy. Brokers expect fast turnaround. Regulators expect clear audit trails. Boards expect profitable growth without bloated expense ratios.

AI delivers all three. It processes data faster than any human team, applies underwriting rules without error, and maintains a full audit record. That combination is why leading MGAs and carriers are already scaling with AI rather than adding more staff.

Final thought

You do not need more underwriters to write more business. You need cleaner workflows, faster submissions, and consistent accuracy. AI delivers that.

With Inaza, underwriting leaders have seen:

• 90 percent faster submission processing
• Five times greater capacity without new hires
• 87 percent faster quote turnaround
• More than five points of loss ratio improvement
• Complete auditability across every submission and decision

If quoting speed is the battleground, AI is your competitive edge. The choice is simple: let your team keep chasing PDFs and spreadsheets, or equip them with the tools to win more business faster.