01 / FRAGMENTATION
No shared release truth
Engineering, product, cybersecurity and management operate from different datasets and different definitions of ready.
Evidence-driven software release governance
Know whether software is ready to ship. And prove why.
EvidenceGraph connects requirements, code, builds, vulnerabilities, approvals and regulatory controls into one defensible executive release decision.
Lower release riskReduced liability exposureMore predictable SoP
100%control mapping coverage
Conditional GoNamed owners. Due dates. Accepted residual risk.
6connected evidence domains
3clear release outcomes
100%traceable decision evidence
1executive release truth
The board-level problem
Software delivery risk is visible everywhere, but owned nowhere.
Requirements sit in DOORS. Delivery work lives in Jira and GitHub. Builds run in Jenkins. Vulnerabilities come from Qualys and Black Duck. Approvals are often fragmented across tickets, spreadsheets and email. EvidenceGraph correlates these signals before management accepts the release.
02 / ACCOUNTABILITY
Risk without a named owner
Exceptions are accepted informally, while ownership, approval timestamps, mitigation dates and residual risk remain unclear.
03 / AUDITABILITY
Evidence assembled too late
Teams reconstruct the decision after the fact instead of producing decision-grade evidence at the moment of release.
Customer value
Protect SoP, reduce exposure and make release risk manageable.
EvidenceGraph turns fragmented engineering evidence into an explicit, accountable release decision. The result is not another dashboard, but a governance layer that helps programs reach Start of Production with fewer late surprises, less unmanaged risk and a defensible record of who approved what.
Find release-critical gaps before they become program events.
EvidenceGraph correlates requirements, code, builds, vulnerabilities and approvals so that hard blockers, weak traceability and unresolved exceptions are visible early enough to act.
- Earlier detection of critical delivery and cybersecurity risk
- Clear distinction between blockers and manageable exceptions
- Fewer last-minute escalations before release and vehicle launch
Replace implicit acceptance with documented accountability.
Every exception can be linked to its evidence, residual risk, accountable owner, approval, mitigation date and management decision. This supports a more defensible release process and reduces ambiguity after an incident or audit.
- Named decision owners and time-stamped approvals
- Traceable rationale for accepted residual risk
- Audit-ready evidence at the moment of release
Protect the launch date without hiding technical debt.
Programs can focus scarce engineering capacity on what truly threatens SoP. Non-critical gaps can move through a controlled Conditional Go path, while red-line issues remain visible and non-negotiable.
- Higher confidence in production-readiness decisions
- Faster cross-functional escalation and closure
- Controlled exceptions without losing launch governance
Weeks before SoPExpose gapsMissing approvals, failed gates, vulnerabilities and traceability breaks
→
Release boardDecide with evidenceNo-Go, Conditional Go or Ready with accountable ownership
→
At SoPLaunch with controlKnown residual risk, documented approvals and active mitigation
Commercial rationale
A short business case executives can understand in minutes.
EvidenceGraph creates value in three places: it reduces manual preparation effort around release boards, helps avoid late-cycle escalation and rework, and protects SoP by surfacing what truly threatens launch timing. In the illustrative model shown below, one SoP-critical automotive software program yields about €758.8k in annual quantified benefit against an assumed €180k annual investment, equivalent to roughly 4.2x ROI and payback in less than four months. The reverse case is equally important: without connected release evidence, organizations remain exposed to manual overhead, delay costs, release incidents and avoidable liability, adding up to roughly €1.29M in annual exposure.
With EvidenceGraph
€758.8k annual quantified benefit
Net value of €578.8k after an illustrative annual investment of €180k. Main drivers are SoP protection, avoided late-cycle rework and lower decision-preparation effort.
Without EvidenceGraph
€1.288M annual cost & exposure
The largest downside is usually not software spend, but unmanaged release risk: SoP delay exposure, incident remediation, escalation effort and weak accountability.
Note: These calculations are illustrative and intended for executive orientation. Final numbers should be calibrated in discovery using the customer’s release cadence, SoP criticality, loaded engineering rates, delay economics, compliance burden and incident profile.
Interactive ROI calculator
Translate release risk into a customer-specific business case.
Adjust the assumptions to reflect one software program. The calculator estimates annual benefit, cost of inaction, net value, ROI and payback. Values are indicative and should be validated with the customer during discovery.
Customer assumptions
Program economics
Calculated outcome
Illustrative annual value
Annual quantified benefit€0
Net annual value€0
ROI multiple0.0x
Payback0 months
Cost of inaction€0
Risk-adjusted incident benefit€0
Decision preparation effort€0
Late-cycle rework avoided€0
SoP protection€0
Audit and compliance effort€0
Adjust the assumptions to create the business case.
Validate this business case →
Methodology: quantified benefit equals saved decision-preparation effort, avoided late-cycle rework, protected SoP timing, reduced audit effort and the selected risk-adjusted share of incident exposure. ROI is annual benefit divided by annual investment. Cost of inaction combines the modeled operational and release-risk exposure before the EvidenceGraph investment.
Interactive release model
Four projects. Four different risk profiles. One consistent decision logic.
The web demo models realistic automotive software programs and converts their engineering and security evidence into a management recommendation.
Automotive OEM Project 1
Sports Car Instrument Cluster
A new digital instrument cluster for a high-performance sports car. Delivery is conditionally possible with formal approval for residual HMI and cybersecurity risk.
CONDITIONAL GO: Management approval required
63%readiness
Development readiness80%
Vulnerability risk43/100
Missing approvals3
Delivery blockers0
NIS2 statusYELLOW
Release only with named owners, due dates and accepted residual risk.
One cockpit. One decision.
Development readiness, vulnerability risk, approvals, blockers and NIS2 evidence in a common governance model.
Get the walkthroughDevelopment readiness, vulnerability risk, approvals, blockers and NIS2 evidence in a common governance model.
No-GoCritical vulnerability, failed build, mandatory approval gap or policy blocker
Conditional GoNon-critical risk with formal exception, owner and due date
ReadyTraceability, approvals, builds and security gates are green
Decision EvidenceA defensible management record is created at release time
How EvidenceGraph works
From tool data to decision evidence.
EvidenceGraph does not replace engineering systems. It connects their evidence, evaluates release criteria and exposes what management must approve.
- Connect Jira, GitHub, Jenkins, DOORS Next, Qualys VMDR, Black Duck SCA and additional engineering systems.
- Normalize requirements, PRs, builds, vulnerabilities, approvals, owners, due dates and regulatory controls.
- Distinguish hard delivery blockers from manageable, time-bound exceptions.
- Create a release readiness report and individual evidence documents for every decision object.
1
Connect
Use evidence from the systems teams already trust.
2
Correlate
Link requirements, code, builds, vulnerabilities, approvals and NIS2 controls.
3
Decide
Deliver a transparent release recommendation and a defensible management record.
Connected evidence architecture
Evidence flows from source systems into one governed object model.
RequirementsDOORS NextRequirement, owner, approval, trace links
DeliveryJiraIssues, risks, exceptions, accountable tasks
CodeGitHubCommits, pull requests, merge state, reviewers
BuildJenkinsBuild status, release gates, failed pipelines
ExposureQualys VMDRAssets, severity, CVSS, exploitability, SLA
Software Supply ChainBlack Duck SCAComponents, SBOM, vulnerabilities, licence policy
Source evidence→Linked evidence objects→Release gate logic→Executive decision record
Built for high-consequence delivery
Where a missed signal becomes a commercial, safety or regulatory event.
Automotive software
Vehicle platforms, ADAS, cockpit, infotainment, body electronics and software-defined vehicle programs.
- Release readiness by vehicle program
- Cross-domain dependency evidence
- Supplier and OEM accountability
Industrial and critical systems
Connected products, industrial automation, energy systems and regulated digital infrastructure.
- Operational and cyber risk correlation
- Formal exception workflows
- Decision evidence for critical releases
Cybersecurity governance
NIS2-oriented evidence, vulnerability remediation, exception approval and executive accountability.
- Control mapping and coverage
- Named owners and remediation dates
- Audit-ready approval history
Inside the evidence layer
Every status opens into the evidence behind it.
No black-box score. Users can inspect the release gate, trace linked objects and open the decision evidence document behind every green, yellow or red signal.
Business outcome
Reduce risk without turning SoP governance into a brake on delivery.
EvidenceGraph gives executives a controlled path between blind approval and unnecessary delay: stop true blockers, formally own residual risk and keep the launch decision explainable.
“We believe the release is ready.”
Evidence is fragmented, decisions are subjective and accountability is difficult to reconstruct.
“Here is the evidence, the residual risk and the accountable decision.”
Management sees what is green, what requires approval, who owns the risk and when mitigation is due.
See the decision before the risk
Make software release readiness explainable.
Book a focused executive demo using an automotive OEM scenario or your own delivery governance challenge.