Underwriting automation ROI: how to calculate your savings

Underwriting automation ROI is calculated by comparing your current annual processing cost against the automated equivalent and subtracting platform costs. For a typical MGA processing 500 submissions per month at $25 per submission, automating 80% of that volume produces approximately $1.8M in annual savings against a platform cost of $120–180K — a payback period under 90 days.

Key Takeaways

• The ROI formula has three inputs: current cost per submission, automated cost per submission, and annual submission volume
• Most MGAs see positive ROI within 60–90 days of deployment, driven by labour cost reduction and SLA compliance improvement
• The calculation should include error-correction costs and SLA-failure costs — both of which disappear with automation
• Secondary benefits (broker NPS, underwriter retention, capacity to grow volume without headcount) are real but harder to quantify
• Use the [interactive ROI calculator](/roi) for a model built to your specific inputs

The core ROI formula

The fundamental calculation is straightforward:

Annual current cost = (processing minutes ÷ 60) × hourly blended rate × monthly submissions × 12

Annual automated cost = (cost per automated submission × monthly submissions × 12) + annual platform fee

Annual net savings = Annual current cost − Annual automated cost

Payback period (months) = Annual platform fee ÷ (Annual net savings ÷ 12)

Let's work through a concrete example.

Worked example 1: mid-size commercial property MGA

Inputs: - Monthly submission volume: 400 - Current processing time per submission: 45 minutes - Blended hourly rate (underwriter + assistant): $55 - Automation target: 75% of submissions fully automated; 25% require enhanced human review

Current annual cost: - (45 ÷ 60) × $55 × 400 × 12 = $198,000/year

Automated annual cost: - Fully automated submissions: 300/month × $4.50 all-in × 12 = $16,200/year - Enhanced review submissions: 100/month × $18 (shorter human time + AI cost) × 12 = $21,600/year - Platform fee: $48,000/year (typical Vortic annual contract at this volume) - Total automated cost: $85,800/year

Net annual savings: $112,200

Payback period: 5.1 months

This example uses conservative automation rates (75%) and conservative per-submission cost reduction. MGAs with higher-volume, more standardised books see automation rates of 85–90% and lower effective costs per submission.

Worked example 2: specialty casualty MGA — higher complexity

Inputs: - Monthly submission volume: 180 - Current processing time per submission: 65 minutes (more complex risks, longer memos) - Blended hourly rate: $70 (senior underwriters handling complex E&O and management liability) - Automation target: 60% fully automated; 40% enhanced human review

Current annual cost: - (65 ÷ 60) × $70 × 180 × 12 = $163,800/year

Automated annual cost: - Fully automated: 108/month × $5.50 × 12 = $7,128/year - Enhanced review: 72/month × $22 × 12 = $19,008/year - Platform fee: $36,000/year - Total: $62,136/year

Net annual savings: $101,664

Payback period: 4.3 months

Even at lower volumes and lower automation rates, the ROI is compelling because the per-submission savings on high-complexity risks are larger in absolute terms.

Costs that most ROI calculations miss

Standard ROI models typically capture only direct labour costs. Three additional cost categories are often omitted but material:

Error correction costs. Manual extraction errors require identification, correction, and re-underwriting. At a 15% error rate on 400 monthly submissions, that is 60 error-correction events per month. At 20 minutes each, that is 20 hours of additional labour — approximately $1,500/month or $18,000/year that never appears in the base processing cost calculation.

SLA failure costs. When submissions miss same-day or next-business-day SLA commitments, brokers place the risk elsewhere. The revenue impact of SLA failures depends on your hit rate and average premium, but a conservative estimate of 2–3 lost binds per month on a $5,000 average premium means $120,000–$180,000 in annual gross written premium at risk. Automated pipelines reduce SLA failures from a 28% miss rate (manual, during peak periods) to under 3%.

Capacity ceiling costs. Manual processing creates a hard ceiling on the volume a team can handle without adding headcount. If your current team is processing at 80–90% capacity, you are declining submissions you would otherwise write, or hiring. Automation eliminates the ceiling at the current headcount.

What the ROI calculation does not capture

Three benefits are real but genuinely difficult to put a number on:

Broker NPS improvement. Faster turnaround and more consistent SLA compliance improve your reputation with the brokers who feed you submissions. This compounds over time but is hard to attribute to a single cost line.

Underwriter retention. Underwriters consistently cite manual data assembly as the most frustrating part of their job. Removing it improves job satisfaction and reduces turnover. At $35,000–70,000 to recruit and onboard a replacement underwriter, the retention value of automation is real.

Audit and compliance cost reduction. Automated audit trails reduce the cost of DOI examinations and reinsurer audits. MGAs typically spend 2–4 hours reconstructing a manual decision record for audit; automated systems produce this in seconds. At even one examination per year covering 50 submissions, that is 100–200 hours of administrative time recaptured.

How to run the calculation for your book

The five numbers you need:

1. Monthly submission count (from your CMS or inbox volume) 2. Average processing time per submission in minutes (ask your underwriting assistants; 35–65 minutes is typical for commercial lines) 3. Blended hourly fully-loaded cost for underwriter and assistant time 4. Automation rate target (conservative: 65%; realistic: 75–80%; optimistic: 85–90%) 5. Expected platform annual cost (request a quote at [/pricing](/pricing) or model it at [/roi](/roi))

Plug those into the formula above. If your payback period comes out longer than 12 months, you are either underestimating current costs or overestimating automation platform costs — both worth verifying.

For a detailed side-by-side cost comparison between manual and automated workflows, see [MGA submission processing: manual vs automated (2026 benchmarks)](/blog/mga-submission-processing-manual-vs-automated).

How Vortic approaches this

Vortic's [ROI calculator](/roi) lets you input your specific submission volume, processing time, and staffing costs and returns a customised savings model with payback period. If the numbers look right, the [demo](/demo) shows you the pipeline that produces them.