Faster mobilisation, intelligent test generation, consistent governance, and the ability to scale on demand
Testpoint doesn’t just promise performance we deliver measurable results for large, complex programs. Across ERP, HRIS, and enterprise transformation initiatives, our Contextual AI-led testing and proprietary marketplace have driven real business impact

A global technology provider reduced its manual test design effort from 6 months to just 3 weeks by using Testpoint’s Contextual AI to ingest requirements, generate structured test logic, and automate test scenario creation without compromising coverage or governance

For a multi-phase Dayforce HRIS rollout, Testpoint applied its Vansah intelligence and disciplined testing framework to cut test design effort by over 80%, dramatically lowering cost, reducing reliance on scarce SMEs, and restoring executive confidence in delivery readiness

In a highly regulated, multi-platform ERP transformation, our Contextual AI-driven approach delivered: 88% reduction in projected testing effort 80% reduction in SME involvement Automation-ready regression assets from day one All while maintaining enterprise-grade coverage, audit traceability, and executive assurance
Eliminate manual bottlenecks, reduce SME dependency, and achieve defensible coverage at enterprise scale.
See How We Turn Complexity into Confident Test Readiness
We begin with a structured executive discovery session to understand your transformation landscape, risk exposure, system complexity, and readiness challenges. Effort: 45-60 min
Once engaged, we securely ingest your requirement ecosystem into Vansah Enterprise, Testpoint’s Atlassian Marketplace App for Jira and Confluence. The AI structures business rules into decision frameworks, identifying: Effort: 1-3 day
Instead of consuming valuable SME time designing tests, Vansah Enterprise automatically generates accurate, risk-aligned coverage allowing your experts to focus on validating high-quality, ready-to-execute scenarios across: Effort: 80-95% reduction of manual effort
Every generated test case is fully traceable to its originating requirement or rule. We embed governance, reporting, and executive visibility to ensure coverage is: Effort: 80-95% reduction of manual effort
Defensible
Audit-ready
Risk-aligned
Scalable
The Enterprise Model Behind Accelerated Test Readiness
Traditional AI models often generate responses based on probability and pattern prediction. Without deep business context, this can lead to assumptions, gaps, or so-called “hallucinations.”
Vansah Enterprise Contextual AI works differently.
It builds an accurate, structured understanding of your business ingesting your requirements, system configurations, rules, and governed data sources before generating anything. Every test scenario is grounded in your actual operational logic, not guesswork.
The result is precise, traceable, risk-aligned test coverage you can trust not generic AI output.
We have achieved the following:
85%+ reduction in test design effort
Test readiness reduced from 6 months to 3 weeks
80%+ reduction in SME dependency
Speed improves without sacrificing coverage or governance.
No. It changes how they contribute.
Instead of spending months designing tests manually, SMEs validate generated, risk-aligned scenarios with precision.
Their time shifts from creation to assurance, increasing accuracy and reducing fatigue.
Yes. Every generated test case is:
Traceable to its originating requirement or rule
Mapped to risk and control objectives
Structured for governance and reporting
This provides defensible coverage for executives, auditors, and regulators.
No.
Testpoint delivers Contextual AI through an engagement model. We combine Vansah Enterprise technology, governance frameworks, and specialist expertise to deliver measurable readiness outcomes not just tool access.
We begin with a focused 45–60 minute session to understand your transformation landscape, risk exposure, and testing challenges.
Once engaged, we securely ingest your requirements into Vansah Enterprise (An Atlassian Marketplace App. We can also support Microsoft DevOps environments), where Contextual AI structures your business rules into decision frameworks identifying dependencies, exceptions, and coverage gaps within days.
From there, intelligent test engineering replaces manual design. Accurate, risk-aligned test coverage is generated at scale, reducing manual effort by 80–95% and allowing SMEs to focus on validation rather than creation.
Every output is fully traceable and embedded within enterprise governance controls, delivering defensible, audit-ready assurance.
In weeks not months you move from complexity to confident test readiness.
Stop funding slow, manual test design and risking delivery. If your program requires speed, precision, and defensible coverage, it’s time to move beyond traditional testing models. Learn more