Fragmented tooling
Requirements live in Jira. Code lives in GitHub. Tests live elsewhere. No system connects all three to give a unified view.
Change Intelligence Platform
Change Intelligence connects to your engineering stack and transforms every software change into a business decision supported by evidence.
The Problem
Modern software delivery runs across Jira tickets, GitHub repositories, OpenAPI specs, and test systems. No single tool connects them. Leaders make release decisions without complete information.
Requirements live in Jira. Code lives in GitHub. Tests live elsewhere. No system connects all three to give a unified view.
Teams cannot answer: which requirements are untested, which APIs lack contracts, or which changes were never reviewed.
When auditors ask for change evidence, teams spend weeks compiling it manually. The process is error-prone and not repeatable.
Platform Capabilities
Every change — from human developers, AI copilots, or autonomous agents — is ingested, analyzed, and classified for risk and business impact.
The platform builds a complete picture of what changed, which systems are affected, and what decisions need to be made before release.
Understand downstream effects before changes reach production.
Identify and classify AI-generated code, requirements, and tests separately.
Flag misalignments when requirements change but tests or code do not follow.
Link every change to its originating requirement, acceptance criteria, test case, and API contract — automatically. No manual tagging.
When anything breaks traceability, the platform flags it before it becomes a release blocker or an audit finding.
Identify which requirements have no test coverage. Prioritize before release.
Ensure every acceptance criterion is validated by at least one test case.
Validate that APIs referenced in requirements exist and match their OpenAPI definitions.
Release readiness is not a gut feeling. It is a structured assessment. Eigenworks produces a Go / No-Go signal based on traceable evidence — not tribal knowledge.
Each decision is fully auditable: who approved it, under which policy, with what evidence attached.
Allowed, Blocked, or Exception — each with a clear rationale and evidence chain.
Ship urgent hotfixes with a structured exception: approver, rationale, expiry date, and safeguards logged.
Export a complete evidence pack for any release in minutes, not weeks.
Define your governance policies once. Eigenworks enforces them automatically across every change, every release, every team.
When auditors ask for evidence, you have it — ready in minutes, not assembled over weeks.
Continuously validate changes against internal policies and external regulatory requirements.
Automatically capture the evidence needed for SOC 2, ISO, and internal audit programs.
Give CIOs and CTOs a live view of engineering compliance posture without reading tickets.
Key Workflow
Connect Jira, GitHub, and your test system. Read-only. No workflow changes.
The platform ingests your data and builds a complete artifact relationship graph.
Coverage gaps, drift, policy violations, and risk scores appear on your dashboard.
Approve releases with evidence. Export proof packs. Govern with confidence.
Architecture Overview
Eigenworks is a multi-tenant SaaS platform. It integrates with your existing tools via read-only connectors — no agents deployed in your infrastructure, no changes to your delivery pipelines.
Jira · GitHub · TestRail · OpenAPI · CI/CD
Secure OAuth adapters. No write-back. No agents deployed.
Artifact graph · Governance rules · AI enrichment · Risk scoring
Dashboards · Release decisions · Proof packs · Executive scorecards
Enterprise Readiness
SOC 2 aligned controls. Encrypted credentials. Tenant isolation at every layer. Read-only integration scope.
Policy-driven release controls. Immutable audit logs. Evidence packs generated on demand for any release.
Dedicated tenant isolation. Role-based access. Organization and workspace hierarchy for enterprise structures.
Native connectors for Jira, GitHub, and TestRail. Enterprise integration roadmap aligned to customer requirements.
Full sync and analysis audit trail. Connector health monitoring. Structured logging with tenant context.
Async processing architecture. Retry policies for connector failures. Designed for enterprise data volumes.