RedeRelease
RedeRelease is a plug-and-play product for controlled configuration releases in SITS. Track analyst changes, package configuration, and deploy to target environments with clear approvals and visibility. Plug in AI to assess the impact of each change, update documentation with RedeDocs, and keep automated tests current, while approvals and release gates stay under your control.
Inside the portal
Review findings before a release.
Inspect configuration errors, warnings, and source context before submitting an artifact to a release.
What it provides
A managed workflow for the “environment and release manager” function: track, package, and deploy SITS configuration with control.
Change tracking
Track configuration changes made by analysts, with visibility into what changed, when, and why.
Release packaging + deployment
Create configuration packages and deploy them to target environments through a controlled release workflow.
Environment visibility
Maintain knowledge of what configuration exists in each SITS environment to reduce “unknown drift” and release risk.
API + web portal
Use an API and portal to manage releases, integrate with tooling, and support repeatable deployment patterns.
Jira + Azure DevOps integration
Connect releases and changes to Jira or Azure DevOps (ADO) work items for governance, approvals, and operational reporting.
Pluggable AI
Plug AI into every release.
Connect your organisation's model endpoint to add AI where releases usually slow down: understanding impact, updating documentation, and keeping tests current.
AI change review
Evaluate each change against the Jira or Azure DevOps work item it was made for. AI checks whether the configuration delivers what the ticket asks and gives reviewers an automated assessment of the change's quality. Every review also extends a graph of how your configuration records link together, so each evaluation starts with more context than the last. Findings cite their source records and show a confidence level.
Documentation with RedeDocs
Use AI to draft and update technical documentation for the records in each package through RedeDocs, so documentation ships with the change instead of trailing behind it. Updates are attached to the release for review.
Automated test suites
Propose new or updated test cases for the records a change affects, run the suite against the target environment, and attach the results to the release as evidence for approvers.
AI with guardrails
AI advises. Your release controls decide.
AI is used where it adds insight: reviewing changes against their tickets, mapping dependencies, drafting documentation, and proposing tests. Validation, approvals, and deployment stay rule-based, so every release decision rests on checks you can repeat and audit.
- Runs on your model endpoint. AI calls go to the model your organisation hosts, so your configuration and any sensitive data it contains stay in your tenancy.
- Grounded in static analysis. AI builds on a deterministic dependency map of your configuration rather than starting from a guess.
- Checked before it is shown. AI-proposed links are validated against a schema and must cite the records they rely on.
- Clear provenance. Each finding shows whether it came from static analysis or AI, with a confidence level.
- Measured, not assumed. AI output is evaluated against a deterministic baseline, held-out answers, and regression sets before model or prompt changes ship.
- Audit-ready evidence. Validation results, test runs, documentation, and approvals are recorded against each release.
Works alongside RedeSentry and RedeDocs
RedeRelease is the release workflow that brings the suite together. RedeSentry validates configuration before it can be released, RedeDocs keeps technical documentation in step with each package, and RedeRelease reviews, approves, and deploys the change.
- RedeSentry: quality scoring, syntax checks, and PII/risk detection as release gates
- RedeDocs: generated and updated technical documentation for each release
- RedeRelease: packaging, AI-assisted impact review, test evidence, approvals, deployment, and environment visibility