Platform engineering
Validate golden-path use, platform compatibility, infrastructure configuration, developer experience, platform SLOs, and support ownership.
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Domain solution
One readiness layer across DevOps, SecOps, and platform engineering.
ChangeFlow connects delivery, cloud, identity, security, observability, service, and business evidence so high-impact engineering changes can be understood, prepared, and approved without creating another CI/CD or security platform.
Recommended entry pointPlatform release readiness
for AI-enabled applications
One graph · three operational views · one accountable decisionA shared operating model
Three teams see the same change from different responsibilities.
This is not three separate products. Each team works from the same release, impact paths, evidence, obligations, and decision history while retaining its own policies and ownership.
DevOps
Connect scope, pipeline health, test evidence, dependencies, environment readiness, deployment sequencing, observability, and rollback.
SecOps + DevSecOps
Resolve vulnerabilities, identity permissions, secrets, supply-chain evidence, threat models, data access, monitoring, and exceptions.
Engineering Change Graph
Trace a release from code to control, service, owner, and outcome.
Repositories, pipelines, artifacts, environments, identities, vulnerabilities, services, runbooks, SLOs, controls, owners, and outcomes become evidence-backed nodes and relationships.
01AI-agent release→
02Repository + pipeline→
03Container + dependencies→
04Runtime environment→
05Identity + permissions→
06Customer-data API→
07Controls + SLOs→
08Owner + outcome
Every step retains its source, relationship type, confidence, review status, and effective history.
Release-specific readiness
Policy turns the impact path into owned engineering obligations.
The applicable evidence changes with the release. A permission change, new runtime, sensitive-data path, or critical service dependency selects different controls and reviewers.
Build + deploy
Tests, pipeline policy, artifact provenance, deployment plan
Supply chain
Dependencies, image scanning, signing, attestations, SBOM
Infrastructure
IaC review, configuration drift, network and environment policy
Identity + data
Managed identities, least privilege, secrets, data access
Reliability
SLOs, dashboards, alerts, capacity, rollback and recovery
Operations
Ownership, runbooks, support coverage, incident response
Governance
Applicable controls, evidence freshness, exceptions, approvals
Outcomes
Change failure, lead time, adoption, cost and service behavior
One complete workflow
From proposed release to reconstructable engineering decision.
ChangeFlow imports scope, proposes technical and control impact paths, creates owned readiness work, collects automated and human evidence, calculates a policy recommendation, and records the accountable decision.
See the platform-team pilot- 01Detect or register the proposed release
- 02Resolve dependencies, environments, owners, and controls
- 03Generate and review readiness obligations
- 04Write owned work back to Azure DevOps
- 05Collect pipeline, security, identity, and operations evidence
- 06Calculate the explainable recommendation
- 07Record the human decision and publish the Teams brief
- 08Compare expected outcomes with production telemetry
Pilot proof
Measure coordination quality and production readiness.
Start with one platform team, one application domain, and one to three meaningful releases.
Dependencies, owners, or controls found before formal review
Less manual time assembling readiness evidence
Fewer missing security or operational controls
Every recommendation and exception reconstructable
More use of approved platform patterns
Evidence and obligations carried into similar releases
Start with one real release