Today’s software teams juggle deadlines, feature requests and the pressure to deliver flawless experiences. Yet even the most sophisticated test frameworks can’t catch every bug or predict where the next risk will emerge. That’s where AI steps in. Imagine having a tireless assistant that reads your user stories, learns from every test run and suggests the exact checks you need before you write a single script. This guide will introduce you to Spira, your project’s command centre, and show how Inflectra.ai transforms routine QA tasks into intelligent, proactive workflows.
What Is Spira?
Spira is Inflectra’s all-in-one Application Lifecycle Management (ALM) platform, combining agile project management, requirements tracing, test-and-defect tracking and risk oversight into a single, cloud-hosted or on-premise solution.
Core Functions:
- Requirements Management: Capture, organise and trace user stories, features and use cases throughout the lifecycle
- Test Planning & Execution: Build test suites, run automated or manual tests via an intuitive wizard and record pass/fail results
- Release & Iteration Planning: Define sprints, milestones and versions to keep delivery on track.
- Defect Tracking: Log, prioritise and resolve bugs, with full traceability back to requirements and tests.
- Risk Management: Identify, analyse and mitigate project risks using built-in modules for risk cubes, mitigations and tasks
- Reporting & Dashboards: Customisable real-time charts, burn-down graphs and portfolio views to keep stakeholders aligned.
The Role of Inflectra.ai in Spira
Rather than a standalone product, Inflectra.ai is Inflectra’s natively embedded generative-AI engine. Built into Spira’s cloud platform, it continuously analyses your requirements, test histories and UI changes to:
- Generate test cases, BDD scenarios and user stories directly from written inputs.
- Prioritise and flag high-risk areas before a single line of code is written.
- Self-heal automated tests by adapting to UI-element changes.
- Provide contextual in-UI suggestions at the point of need.
Because Inflectra.ai lives inside Spira’s architecture, there’s no separate “bolt-on” configuration, just one click to enable AI across all your projects, preserving existing workflows while adding intelligence.
What Is Inflectra.ai?
Inflectra.ai is Inflectra’s cloud-native AI assistant, powered under the hood by Amazon Bedrock. It delivers generative-AI capabilities inside SpiraPlan, SpiraTest and SpiraTeam, ensuring enterprise-grade security and data-residency compliance.
Key Differentiators:
- In-Context AI: Suggestions appear within your familiar dashboards without context-switching.
- Continuous Learning: Every test run refines the AI model, reducing false positives over time.
- UI-Aware Adaptation: Automated scripts remain resilient as your application evolves.
Features & Benefits of Inflectra.ai
- Automated Test-Case Generation
From a user-story description or requirement spec, Inflectra.ai can draft detailed test cases, covering edge conditions you might overlook, and inject them straight into your Spira test suites. - Predictive Analytics & Early Risk Detection
By mining historical test-run data, the AI flags modules most likely to fail, enabling you to triage and focus testing efforts where they’ll have the greatest impact. - Self-Learning Test Suites
As you accept, modify or reject AI suggestions, the underlying model evolves, boosting precision and reducing unnecessary maintenance overhead. - Dynamic Locator Management
When UI elements are added, removed or renamed, Inflectra.ai automatically updates element locators and scripts, keeping your automation robust through UI refactors. - Embedded Collaboration & Insights
All AI artefacts, risk heatmaps and coverage metrics integrate within Spira’s reporting engine, providing a unified view for product owners, developers and testers.
Getting Started with Inflectra.ai
- Enable AI
- Log into your Spira cloud Admin console and toggle “Enable Inflectra.ai.”
- Agree to the service-level terms and select your data-residency region.
- Configure Projects
- Choose which Spira projects should leverage AI assistance.
- Set thresholds for risk-alert notifications and test-generation frequency.
- Review & Approve Artefacts
- Navigate to the “AI Suggestions” tab in your project dashboard.
- Accept, tweak or discard generated tests and scenarios.
- Iterate & Retrain
- Conduct regular review sessions to merge accepted suggestions.
- Each merge action refines the model’s future output.
Best Practices for AI-Driven Testing
- Keep Requirements Crisp: AI needs well-structured user stories and acceptance criteria to produce accurate tests.
- Blend AI with Expert Oversight: Use human validation for complex business logic and edge conditions.
- Embrace the Feedback Loop: The more you review and merge, the smarter the AI becomes.
- Monitor Risk Dashboards: Act on early-warning flags to prevent high-impact defects.
Integrating Inflectra.ai into Spira elevates your QA process from reactive to predictive and self-optimising. By embedding generative AI directly within your ALM platform, you accelerate test-case creation, reduce regressions and focus your team on innovation rather than maintenance.
As your trusted Inflectra-certified partner, our IT brand bridges the gap between powerful tools and your unique workflows. We’ll help you:
- Assess your current processes and define AI-driven testing goals
- Configure Spira and enable Inflectra.ai with data-residency and compliance settings suited to your business
- Provide hands-on training, best-practice workshops and ongoing support to ensure lasting success
Ready to Elevate Your Testing?
Contact our team today to schedule a consultation. Let us tailor Spira and Inflectra.ai to your needs so you can focus on innovation instead of maintenance.