NexureAI transforms Business Requirement Documents into review-ready test cases for Life Insurance enterprises. Generate test scenarios, maintain requirements traceability, streamline approvals, and publish directly to JIRA.
Life Insurance systems span dozens of interconnected modules across Policy Administration, Claims, Finance, and Commissions. Writing thorough test cases manually requires rare domain expertise, takes weeks per release, and still leaves critical gaps.
NexureAI automates the entire test design lifecycle — from BRD ingestion to JIRA upload. The platform is domain-trained on Life Insurance business rules, product structures, and operational workflows, so every generated test case is contextually accurate.
NexureAI automates the full test design lifecycle — from document ingestion to signed-off test cases in your test management system.
Upload your BRDs and Product Specifications. NexureAI analyses the documents, chunks them semantically, generates vector embeddings, and stores them in a Life Insurance-aware vector database — building a project-specific RAG knowledge base.
The RAG pipeline generates complete test scenarios across every impacted department — New Business, Policy Servicing, Claims, Finance, and Commissions — with all four coverage types for every scenario, automatically grouped by module for structured review.
Test case groups go through SLA-driven review and signoff. Reviewers approve, comment, or trigger AI regeneration — with a full audit trail. Once all groups are signed off, NexureAI auto-publishes to JIRA with RTM attached. Your team starts execution immediately.
NexureAI generates test scenarios across all operational departments of a Life Insurance enterprise. NexureAI generates test scenarios and test cases across all operational departments of a Life Insurance enterprise.
Proposal intake through policy issuance — covering all underwriting and risk assessment workflows.
End-to-end in-force policy management including all alterations and lifecycle events.
Full claims lifecycle from first notification through settlement and reinsurance recovery.
Premium flows, general ledger entries, and financial reconciliation workflows.
Agent and broker commission calculation, hierarchy management, and chargeback scenarios.
NexureAI generates all four categories of test cases for every scenario — ensuring completeness that manual test design consistently misses.
Tests the expected, correct execution of business flows — verifying that valid inputs produce the correct system behaviour and output for all operational use cases.
Tests invalid inputs, missing data, rejected states, and system guard conditions — verifying that the system correctly validates, rejects, and error-handles non-conforming requests.
Tests the exact minimum, maximum, and just-beyond limits of business rules — age thresholds, sum assured caps, premium amounts, policy term limits, and reinstatement windows.
Tests rare but critical conditions — concurrent state changes, overlapping transactions, system transition states, and regulatory exception flows that standard testing misses.
NexureAI automatically maintains a full Requirements Traceability Matrix (RTM). NexureAI automatically maintains a full Requirements Traceability Matrix (RTM), ensuring complete requirements traceability across all generated test cases.
Quality is enforced by process, not by hope. NexureAI's structured review workflow ensures every test case group goes through formal approval before reaching JIRA.
Each test case group carries its own SLA countdown. Reviewers see remaining time clearly. Managers receive escalation alerts before breaches — not after.
Reviewers can comment on specific test cases and request AI-assisted regeneration for scenarios that need refinement — without leaving the review interface.
Every approval, rejection, comment, and regeneration request is logged with timestamp and user. Full audit trail maintained for compliance and QA governance reporting.
Once all review groups are signed off, NexureAI auto-publishes the complete, approved test case set directly to JIRA — structured by department and module, with requirement traceability links attached. Your QA team moves straight to test execution.
Extensible integration roadmap: Azure DevOps, TestRail, and Zephyr Scale integrations are on the NexureAI roadmap. Contact us to discuss your test management toolchain.
Trained on Life Insurance product structures, policy administration rules, actuarial principles, and claims workflows — not a general-purpose AI repurposed for insurance.
Your BRDs become the knowledge base. NexureAI's RAG pipeline ensures generated test cases reflect your specific product specifications — not generic insurance patterns.
Every test case is automatically linked to its source BRD requirement. The RTM is generated and maintained without any manual effort — and exported with your JIRA upload.
Review and signoff is governed by SLA timers, not by chasing emails. Escalation alerts fire before breaches. Audit trails are maintained automatically for compliance.
Each enterprise deployment is a private, isolated instance. BRDs and test data never leave your environment. Role-based access control and full audit logging included.
The NexureAI architecture is modular. Life Insurance is the current domain. Health Insurance and General Insurance domain modules are on the product roadmap.
AI-powered test automation uses artificial intelligence to generate, organize, and manage test cases automatically. NexureAI transforms business requirements into structured test scenarios, maintains requirements traceability, and streamlines the review and approval process for Life Insurance enterprises.
NexureAI is domain-trained for Life Insurance — covering Term Life, ULIP, Whole Life, Endowment, Group Life, and Annuity products. The platform generates test scenarios across all Life Insurance operational departments: New Business, Policy Servicing, Claims, Finance, and Commissions. Health Insurance and General Insurance domain modules are on the product roadmap.
NexureAI ingests Business Requirement Documents (BRDs) and Product Specifications in PDF, Microsoft Word (.docx), and Excel formats. The RAG pipeline analyses, chunks, and generates vector embeddings from these documents to build a project-specific, domain-aware knowledge base. Multiple BRDs can be uploaded for a single release.
NexureAI generates four categories for every identified test scenario: Positive (happy-path, valid flow), Negative (invalid inputs, rejection conditions, error handling), Boundary Value (min/max thresholds — age limits, sum assured caps, premium amounts, policy term limits), and Edge Cases (concurrent transactions, state transitions, regulatory exceptions). All four types are generated automatically without additional prompting.
Once test cases are generated, they are automatically grouped by department and module (e.g., Claims — FNOL, Policy Servicing — Endorsements). Each group is assigned to a reviewer with an SLA timer. Reviewers can approve individual test cases, add comments, or request AI-assisted regeneration. Managers receive escalation alerts for SLA breaches. Once all groups are approved, the signoff is complete and JIRA upload is triggered.
Every generated test case is automatically linked to the specific BRD requirement that triggered it. NexureAI maintains a live Requirements Traceability Matrix (RTM) — visible in real-time during review, and exported alongside the JIRA upload. Uncovered requirements are flagged immediately. No manual mapping or maintenance is needed.
After all test case groups are signed off, NexureAI auto-publishes the approved test cases to JIRA. Test cases are structured by department and module, tagged by coverage type (POSITIVE, NEGATIVE, BOUNDARY, EDGE), and requirement traceability links are attached. Execution results from JIRA can flow back into NexureAI for coverage reporting.
NexureAI is an enterprise product — not a shared SaaS platform. Each customer receives a dedicated, isolated deployment within their own infrastructure (on-premise) or a private cloud instance. BRDs, specifications, and generated test cases never leave your environment and are never used to train shared models.
We'll run NexureAI on a sample Life Insurance BRD and show you the complete pipeline — from document ingestion to JIRA-ready test cases — in under 45 minutes.
Enterprise deployments only · Private instance · Your data stays in your environment