Frequently Asked Questions

Frequently Asked Questions

Everything you need to know about Kine AI, integrations, onboarding, delivery intelligence, engineering insights, and platform capabilities.

FAQ

Answers To Your Most Common Questions

Learn how Kine AI helps engineering teams improve delivery visibility, operational intelligence, agile execution, and leadership alignment.

Kine AI is an engineering intelligence platform that helps organisations improve delivery efficiency, engineering visibility, agile execution, and operational decision-making through AI-powered insights and connected workflows.

Kine AI is designed for engineering leaders, Scrum Masters, architects, delivery managers, developers, and enterprise contributors who want greater visibility into delivery performance and execution intelligence.

Kine AI integrates with popular engineering and delivery tools such as Jira, GitHub, GitLab, Azure DevOps, CI/CD platforms, and collaboration tools to provide unified operational insights.

Kine AI identifies delivery bottlenecks, provides predictive insights, improves cross-team visibility, and enables teams to make faster and more informed decisions.

Yes. Kine AI is built for modern enterprise engineering teams that require scalable visibility, governance, agile intelligence, and executive-level operational reporting.

Kine stands out with its tailor-made approach, offering alerts, nudges, risks, and notifications that align perfectly with your team's specific processes and improvement goals. Here's a glimpse of the flexibility and customization it brings to engineering leaders:

  • Control at Your Fingertips: You have the power to enable or disable specific alerts, risks, or nudges as per your team's needs.
  • Customizable Alerts: Adapt the rules, thresholds, and cut-offs for alerts to fit the unique demands of your projects. For instance, the timeframe within which a code review must be completed is fully adjustable, ensuring that alerts are relevant and timely for your team.
  • Configurable Metrics Reporting: Kine allows you to select specific repository branches and CI/CD pipelines for focused and relevant metrics reporting.

This level of customization means Kine can evolve with your team, supporting a dynamic and effective engineering environment tailored to your specific objectives and workflows.

Kine prioritizes security and data protection to ensure your data remains safe. We use AWS Postgres RDS to store only metadata and DevOps client data. Strict AWS Identity and Access Management (IAM) policies define and enforce access permissions, while security groups regulate connections to the database, restricting access to approved IP addresses or Amazon EC2 instances. All database instances and snapshots are encrypted at rest using Amazon RDS encryption.

Importantly, Kine does not access or store your source code. We only process DevOps-related data such as commit details, issue tracking, deployment information, and test coverage metrics.

Support

Need Additional Assistance?

Our support resources are designed to help your teams onboard faster, resolve issues quickly, and maximise the value of Kine AI.

Onboarding Help

Access onboarding guides, setup documentation, and implementation best practices for your teams.

Technical Support

Get help with integrations, troubleshooting, workflow configuration, and platform optimisation.

Product Guidance

Learn how to maximise delivery intelligence, engineering visibility, and AI-powered insights.

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