CUSTOMER STORY | AI-NATIVE ERP
Building Release Confidence from Stealth Mode to Market Launch
How EVIZI™ embedded quality engineering into Everest’s global product teams, established automated release gates, and made product quality visible across a complex ERP platform
Company Overview
Everest Systems, now Lensing.ai, developed an AI-native ERP that brings finance, operations, people, and cloud cost management into one configurable platform.
Headquarters
Mountain View, California and Heidelberg, Germany
Company Size
51 - 200 employees
Founded
2020
Industry
Enterprise Software and AI-Native ERP
Building a New ERP from the Ground Up
Everest was developing a new ERP platform designed for modern, fast-changing companies
The cloud platform unifies quote-to-cash, billing, revenue recognition, multi-entity consolidation, spend management, HR and payroll, inventory, professional services, and cloud cost control.
Administrative tools support user permissions, departments, employees, vendors, and organizational structures. Everest’s configurable platform also allows customers to extend applications and functions around their specific requirements.
EVIZI™ worked with Everest from stealth mode through its official market launch in November 2024.
The Challenge
The breadth of the platform created a substantial quality-engineering challenge.
Testing needed to cover multiple ERP applications and business processes, including quote-to-cash, record-to-report, and procure-to-pay. It also had to validate integrations with external systems such as Salesforce, Bill.com, and Avalara.
Everest needed an integrated QA team that could work directly with developers and product managers, clarify requirements as features were built, and establish a consistent baseline for evaluating system health before releases.
The team also needed a clearer way to manage test requirements and change requests within its GitHub-centered development workflow.
The EVIZI™ Approach
EVIZI™ embedded quality engineering throughout Everest’s product-development process rather than treating testing as a final delivery stage.
Integrating QA with Product Development
EVIZI™ collaborated with developers, product managers, and QA professionals in Germany and other parts of the world.
The team reviewed new functionality, clarified requirements, developed tests alongside features, and contributed questions and recommendations throughout each sprint.
Building Layered Test Coverage
Testing combined multiple levels of verification and validation:
- End-to-end browser automation using Gauge and Playwright
- TypeScript-based automated test scripts
- Integration testing across ERP applications and external systems
- Data-driven and user-interface testing
- Exploratory testing for rendering issues, usability inconsistencies, and hidden defects
Hundreds of test suites were created, along with approximately 180 test plans covering features across the system. Automation coverage was targeted at 80% for each application.
Establishing Automated Release Gates
EVIZI™ contributed to GitHub Actions pipelines that triggered tests for different release and development events.
- Automated test runs included:
- Hourly and nightly testing
- Post-deployment verification
End-to-end automation became a must-pass requirement for development pull requests, providing an objective quality check before code could move forward.
Creating Product Quality Visibility
EVIZI™ helped build tools that gave engineering and management teams a clearer view of product health.
These included:
- Test-coverage dashboards for individual subsystems
- A flakiness dashboard for identifying unreliable tests
- Test-plan execution reports
- Acceptance Catalogs for managing test requirements and change requests
- System-health baselines to support release decisions
The team also defined a customer-support application through which users could report issues and request product enhancements.
Supporting Cloud Infrastructure and Monitoring
The engagement included moving infrastructure to AWS and contributing to the surrounding delivery and monitoring environment.
Grafana, Loki, and CloudWatch provided operational visibility. GitHub Dependabot supported scheduled security and vulnerability scanning across the organization’s codebase.
AI-assisted tools were also used to support test generation and resolve failures identified during daily automated runs.
The Results
EVIZI™ helped Everest establish a repeatable quality-engineering system as the product moved from stealth development to market launch
The engagement delivered:
- Hundreds of automated test suites
- Approximately 180 test plans across the ERP platform
- An 80% automation-coverage target for each application
- End-to-end tests integrated across project repositories
- Must-pass automated checks for development pull requests
- Automated testing for hourly, nightly, pull-request, and deployment events
- Integration coverage for Salesforce, Bill.com, and Avalara
- Exploratory testing for defects not captured by automated scripts
- Dashboards providing management with visibility into product quality
- Clearer collaboration between development and QA around requirements and change requests
The result was more than additional test coverage. Everest gained a quality system connecting requirements, automation, release decisions, and management visibility as the platform moved from stealth mode into the market.
Technology and Tooling
Gauge · Playwright · TypeScript · Jest · GitHub Actions · AWS · Grafana · Loki · CloudWatch · Dependabot
Integrations
Salesforce · Bill.com · Avalara
Where the Platform Is Today (2026)
EVIZI™ supported Everest’s engineering and quality efforts from stealth mode through its November 2024 market launch. Everest Systems has since become Lensing.ai.
Today, Lensing runs core financial operations for customers with combined revenues exceeding $1 billion across more than 20 countries. The company has raised $140 million from Sutter Hill Ventures, Altimeter Capital, Redpoint Ventures, and D1 Capital.