Case Study #2

owupro.pl — AI for Insurance Agents

Policy analysis in 30 seconds, comparison across 15+ insurers, AI assistant that knows every paragraph. A system that turns hours of document review into seconds.

15+Insurers in database

30sPolicy analysis

6 wksIdea to MVP

Problem

Insurance agents must know dozens of policy documents (General Terms & Conditions) from over a dozen insurers. Each document is 50-100 pages of fine print. A single paragraph change alters the client's coverage scope.

When a client calls asking "Does my comprehensive insurance cover parking damage without an identified culprit?" — the agent has to manually search through PDFs. This takes minutes, sometimes hours.

And comparing policies from 3 insurers? That's a day's work.

Solution

1. AI Assistant — Ask anything

The agent types a question, e.g. "Does Allianz comprehensive coverage include parking damage without an identified culprit?" — AI analyzes the policy documents and responds with specific paragraphs, key findings and comparisons.

owupro.pl — AI Assistant analyzing insurance policies

AI Assistant: question about coverage → answer with specific policy references

2. Policy Comparator

Select 2-3 policies, choose the comparison aspect (exclusions, limits, deductibles, assistance) — the system generates a comparison table with AI's key findings.

Comparator: Allianz vs Ergo Hestia vs PZU — assistance, towing limits

Before vs After

❌ Before

Policy analysis: 2-3 hours manually

Comparing 3 policies: full day

Finding exclusions: 50-100 page PDF

Client response: "I'll call you back tomorrow"

✅ With OWU Pro

Policy analysis: 30 seconds with AI

Comparing 3 policies: 2 clicks

Exclusions: AI cites the paragraph

Client response: instantly, on the call

Results

15+

Insurance companies

30s

Document analysis

AI modules

CRM

Client management

Comparing policies from 3 insurers used to take half a day. Now I do it in a minute with a table showing specific paragraph references.

OWU Pro user

Insurance agent

Tech Stack

Next.jsReactTypeScriptSupabaseGemini AITailwind CSSVercel

Key technical challenges

Policy database — parsing PDFs with tables, lists and footnotes. Each format different
Comparator — normalizing data from different insurers into a common schema
Coverage heatmaps — visualizing coverage scope on an aspect grid
Policy alerts — monitoring document changes across insurers

Timeline

Week 1-2Insurance market research, agent interviews, parsing first policy documents

Week 3AI Assistant — prompt engineering, streaming responses, paragraph references

Week 4Policy comparator — data normalization, comparison tables, AI key findings

Week 5Heatmaps, custom policy upload, letter generator, client CRM

Week 6Landing page, subscriptions, agent testing, production deploy

3 slots remaining this week

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