The Challenge
As part of a larger Carrier State Acceleration initiative, a leading insurance provider sought to streamline its slow, manual carrier onboarding process. Each new integration required weeks of back-and-forth between internal teams and carriers to gather, validate, and structure documentation.
The company faced several key challenges:
- A single Product Management Team (PMT) served as a bottleneck, limiting the number of carriers that could be onboarded in parallel.
- No authority to enforce documentation standards meant every carrier delivered information in different formats, from incomplete PDFs to unstructured spreadsheets.
- Manual data entry and Excel comparisons led to delays, errors, and an unsustainable workload.
To accelerate growth and improve efficiency, the client partnered with Gorilla Logic’s Construct™ team to explore whether AI could automate and standardize the documentation process.
The Solution
During an Innovation Sprint, Gorilla Logic’s Construct™ engineers designed and validated a containerized, AI-powered prototype that automated the most time-consuming phases of carrier onboarding.
Using the team’s AI-first development methodology, the proof of concept was built and tested in just 10 hours and featured:
- EDEC 2.0 Framework – A standardized schema developed and validated with representative carrier data to unify documentation formats and support structured querying.
- Automated Documentation Extraction – GPT-powered models parsed PDFs, spreadsheets, and Word documents into standardized data outputs.
- Human-in-the-Loop Validation UI – Allowed engineers to review, refine, and approve extracted fields quickly and confidently.
- Schema Comparison and Spec Generation – Compared extracted outputs against internal schemas to highlight gaps and generate integration-ready specifications.
- Containerized Architecture – Built on scalable, secure microservices using PostgreSQL and MinIO for rapid deployment and validation.
Results
The prototype demonstrated how AI-powered automation can dramatically accelerate carrier integration without sacrificing accuracy or control:
- 95% Faster Processing: Reduced requirements documentation from 1–3 weeks to minutes in a controlled test environment.
- Standardized Carrier Profiles: Produced structured, reusable data models that can be queried and modified to support future integrations.
- PMT Efficiency Gains: Shifted the PMT’s focus from manual data entry to validation and strategic decision-making, improving both quality and throughput.
- Proven Feasibility: The prototype validated measurable business impact and scalability potential, positioning the client to move toward enterprise integration.
What’s Next
Following the success of the prototype, the next phase focuses on scaling validation across additional carriers and document formats, integrating outputs into the client’s existing onboarding workflows, and hardening the system for enterprise deployment.
By reducing manual effort and standardizing complex documentation, Gorilla Logic’s Construct™ team helped the client prove that AI can transform one of the industry’s most time-consuming processes—turning weeks of manual work into minutes of automated insight.
