Product · Insights & AI
Continuous quality insights — AI that works your way
Quality is no longer something you check at the end — it is continuously analysed as you work. Qrendo req:ai combines configurable insights with human-controlled AI to improve requirement quality throughout the project lifecycle. Teams can analyse the requirement baseline, identify gaps and inconsistencies, and use AI to speed up everyday requirement work — always with the user deciding what is accepted.
Audience: Requirements architects, lead analysts, quality owners, programme teams, and organisations with strict requirements on quality, security, and compliance.
Insights and AI
Insights Continuous analysis of your requirement baseline. Insights analyse stakeholder and system requirements to find gaps, misplaced requirements, missing coverage, and improvement opportunities. Insights can be run manually or scheduled as recurring quality checks.
AI From manual writing to expert review. AI helps users create, improve, restructure, search, and analyse requirements faster. The user remains in control: AI proposes, the user reviews, adjusts, accepts, or rejects.
Insight and AI capabilities
Configurable analysis for requirement quality
Insights are structured analyses that run across selected parts of the requirement baseline. They help teams answer questions such as: • Are important requirement areas missing? • Are requirements placed in the right area? • Is security, compliance, logging, or traceability sufficiently covered? • Do system requirements imply stakeholder requirements that should also exist? • Are there gaps in function coverage? Insights can be preconfigured, adapted to the project, or scheduled as recurring health checks.
Logging and traceability
Finds system requirements about logging, audit trails, event traceability, error logging, and monitoring. Suggests complementary stakeholder requirements for identified gaps.
Security analysis
Finds system requirements related to authentication, authorisation, encryption, data protection, backups, monitoring, and access control. Suggests improvements for OWASP, GDPR, secure development, DevSecOps, and Zero Trust.
Compliance requirements
Analyses requirements related to GDPR, WCAG, regulations, documentation, reporting, auditability, and certifications. Clusters aspects, assesses coverage, and suggests missing requirements.
Misplaced requirements
Reviews stakeholder requirements to detect items that appear to be assigned to the wrong requirement area or domain.
Requirement area completeness
Analyses stakeholder requirements across functionality, performance, security, usability, accessibility, maintenance, integration, and data quality. Suggests new stakeholder requirements for identified gaps.
Function coverage
Analyses system requirements to assess how well each function is covered. Produces a coverage view per function and can suggest new functions where requirements imply missing functionality.
From extracting and writing to evaluating and improving
Qrendo req:ai changes requirement work from manual extraction and drafting into expert review and refinement. • Generating requirement proposals from source material • Suggesting rewrites and clearer formulations • Helping divide large requirements into smaller items • Identifying duplicates and conflicts • Supporting batch edits across many requirements • Helping find and filter requirements using natural language • Supporting V&V planning by helping identify relevant requirements
AI that fits your environment
Configurable model and deployment strategy. • Controlled European cloud environments • Country-specific environments • Customer-specific deployments • On-premise environments where required • Dedicated inference setups for individual customers
Human-controlled AI
AI proposes. The user decides. AI can analyse, suggest, rewrite, classify, and highlight possible issues, but users decide what becomes part of the requirement baseline.
Continuous quality control
Requirement quality can be analysed continuously, not only during large manual review cycles.
Faster requirement work
Teams move from manual extraction and drafting to reviewing, improving, and approving structured suggestions.
Better gap detection
Insights help identify missing coverage in security, compliance, logging, traceability, functions, and requirement areas.
AI adoption with control
Model choice, deployment model, data handling, and human approval can be aligned with organisational and regulatory requirements.