How much does risk management reduce production incidents?

On average, teams reduce production incidents by 45% by blocking high-risk PRs and ensuring adequate test coverage before merge.

How does the system know the business impact of a change?

AI analyzes which module is affected, associated revenue, number of impacted users, and compromised SLAs to calculate the potential cost of a failure.

Schedule demo

Change Risk Management

Intelligent risk score for each Pull Request. AI analyzes historical failures, existing defects, test coverage and business impact.

Talk to specialist

Pull Request #1247

feat: update payment checkout flow

Medium Risk

Change Risk Score

AI Analysis

Historical Failures3 related

Active Defects2 blocking

Test Coverage78%

RISK FACTORS

Payment ModuleHigh Failure CostCritical Path

Related Defects

2 critical, 3 medium

Test Pipeline

124

tests will run

Files Changed

12 files

src/checkout/PaymentProcessor.ts

High

src/checkout/CartService.ts

Medium

src/utils/formatters.ts

Low

AI Recommendation

Run full regression suite for Payment module. 2 critical defects in related area require attention before merge.

Trusted for mission-critical systems

Risk visibility before merge

Each PR receives a risk score based on historical failure patterns, code complexity, affected modules and coverage gaps. Data-driven code review decisions.

PR #1842

feat: feat: new checkout flow

Risk Score

Module with failure history

High

Test coverage 45%

Medium

Affects payment flow

Critical

Suggests +15 tests before merge

45% fewer production incidents

AI correlates changes with existing defects and past failures. Instant visibility of related bugs, blocking issues and high-failure-rate areas.

Incidents Prevented

Last 30 days

High-risk PRs blocked

45%

Fewer incidents

PR #1839

Related defect not fixed

PR #1835

No tests for critical module

Business impact prioritization

Understand the real cost of potential failures. Risk score considers business criticality, user impact and revenue exposure to prioritize tests where it matters most.

Impact Analysis

Potential failure cost

Module: CheckoutCritical

Daily revenue affected$2.4M

Users impacted~45,000

SLA compromised99.9%

Recommendation

Run full regression suite

Business impact prioritization

Who Trusts Voidr

Companies that achieved measurable results in mission-critical systems

50%Testing time reduction

50 diasTo achieve the reduction

"With Voidr, in just 50 days we reduced partner activation testing time by 50%. This not only shortened the rollout of integrations but also increased our ability to launch new operations with speed and confidence."

Oliver Thies Paulini

Engineering Director, BEES Fintech | Growth Group, Ab-Inbev

94%Time reduction (2h → 7min)

287Automated cases

"Voidr transformed our testing routine: we now run 287 cases in just 7 minutes, a process that used to take over 2 hours manually. The support agility and report clarity make all the difference."

Thiago Cedro

QA Leader, Valid

How much does each defect that escapes to production cost?

Personalized technical diagnostic. We analyze architecture and map improvement opportunities.

Request diagnostic