Performance engineering · AI automation
For engineering, quality, and operations teams running complex digital platforms. We combine performance engineering and AI automation with test automation, monitoring, and purpose-built control centres—so your team can operate with clear, practical evidence.
Capabilities
We help teams make critical platforms resilient under demand, automate complex operational work, and build the engineering foundations that keep delivery moving.
01
Build the evidence to understand capacity, expose bottlenecks, and keep critical platforms resilient under real demand.
02
Transform repetitive, review-heavy business processes into dependable AI-assisted workflows—built around your people, rules, systems, and data.
03
Maintainable front-end and API automation focused on the customer journeys, integrations, and releases that matter most.
04
The data, interfaces, and controls that make automation and validation repeatable across teams and environments.
Test data engineering
Reliable automation and performance validation depend on reliable data. We build the providers, generators, and management workflows that make the right test data available without slowing delivery down.
Explore test data engineering01
Controlled services and interfaces that provide the data your automated journeys, APIs, and performance scenarios need—on demand and in a consistent format.
02
Purpose-built generators for realistic, scenario-specific data, including the edge cases and volume needed to validate how your platform behaves under real conditions.
03
Tailored solutions for preparing, provisioning, refreshing, and controlling test data across teams and environments—bringing visibility and repeatability to a common delivery bottleneck.
Selected outcomes
The work is tailored to each platform, but the objective stays the same: reduce risk, prove resilience, and give teams clear operational confidence.
01
Detected and prevented hundreds of critical customer-journey failures before they reached users.
02
Established performance capacity for major peak events, maintaining zero critical outages under extreme traffic spikes.
03
Built automated production monitoring that runs millions of checks every month.
How we work
The objective is not simply more test scripts. It is a clear, maintainable quality strategy that gives your team useful evidence at every important change.
01
We learn the architecture, dependencies, data, and workflows before deciding what to automate.
02
Frameworks, environments, and test data strategies are tailored to your stack and release process.
03
Clear results help teams identify risk, make decisions, and improve the next release.
Tailored AI workflow automation
We identify high-value manual workflows and turn them into practical AI-assisted systems—designed around your existing tools, business rules, approval steps, and the people responsible for the outcome.
01
AI-powered analysis of Apple App Store and Google Play listing pages, helping teams assess marketing content against defined compliance requirements.
02
Automated evaluation and analysis of customer service chats to surface quality, consistency, and actionable service insights.
03
AI-assisted evaluation and analysis of call transcripts, turning conversations into structured evidence for review and improvement.
How the automation works
01 / Source
Collect relevant data from your database, API, or approved external sources.
02 / Analyse
Apply tailored prompts, rules, and context to turn raw information into a consistent evaluation.
03 / Act
Present clear findings and trends so teams can review outcomes and take the next action.
Monitoring tools
We build monitoring around the functions your customers depend on—using real browser journeys and focused uptime checks that turn downtime into an immediate, measurable signal.
Explore monitoring toolsSynthetic journey monitoring
We use Playwright automation to continuously verify critical front-end journeys. Run it from AWS Lambda, Google Cloud Run, or a Kubernetes container to fit your infrastructure, schedules, and operational workflows.
Uptime monitoring
Our custom Java framework monitors your core application functions at 15-second intervals, notifies teams about downtime, and calculates the uptime that matters to your service.
Tailored control centres
These are not off-the-shelf products. We design focused front ends around the people, workflows, data, and decisions that matter to your team—so complex testing and AI automation are easier to run and understand.
Quality operations
A purpose-built front end for your testing operation: the views, evidence, and controls are shaped around your platform, release process, and quality workflows.
AI operations
A purpose-built front end for your AI operation: review queues, evidence, guardrails, and decisions are shaped around your process and the people accountable for it.
Delivery model
From the deployment environment to the ongoing operating model, we shape the engagement around your technical constraints, delivery pace, and in-house capability.
Deployment
Solutions can be deployed in your own infrastructure or in a public-cloud environment, including AWS, Azure, and Google Cloud. The deployment model is selected around your security, operational, and integration requirements.
AI-accelerated engineering
We use agentic engineering tools, including Codex, Claude Code and OpenCode, to accelerate analysis, implementation, and iteration. Experienced engineers retain responsibility for architecture, review, testing, and the quality of every deliverable.
One-off delivery
For a defined project, we can deliver a complete, maintainable codebase with the documentation, deployment guidance, and knowledge transfer your team needs to own it confidently.
Long-term partnership
When your needs evolve, we can stay involved to maintain the solution, extend its capabilities, and adapt it as your platform, data, and operational priorities change.
Consulting
For startups and product teams building or scaling quality, automation, and performance capability. Get experienced technical direction without needing to hire a full leadership team immediately.
01
Define the roles, responsibilities, and operating model for SDET, test automation, and performance engineering teams. Support hiring, interviews, onboarding, and technical mentoring.
02
Decide what to automate, what to measure, and where to invest first—based on your product risk, architecture, release cadence, and growth plans.
03
Build quality checks, performance validation, and useful operational evidence into the delivery process—without creating unnecessary ceremony.
04
Stay involved as an advisor, mentor, and hands-on technical lead while your product, engineering team, and quality capability evolve.
Engineering toolkit
Our tools support the solution; they never dictate it. We select and combine proven technologies according to your platform’s needs.
Latest insights
Explore the technical decisions, trade-offs, and lessons behind reliable digital products, cloud architecture, and AI-supported workflows.
Explore the blog
Performance engineering · 24 August 2026
Why teams that release frequently need a repeatable weekly load test to detect performance regressions before customers do.
Read the article
AI automation · 19 August 2026
How Job Interview Analyzer turns interviews into structured, human-reviewed insights and clearer candidate follow-up.
Read the article
Cloud architecture · 16 August 2026
The managed services behind the Emz Systems stack, the limits worth watching, and the signals that it is time to upgrade.
Read the articleThe team
Emz Systems brings senior technical leadership to performance, reliability, AI automation, and tailored quality engineering challenges.
Founder & Principal Consultant
With 15 years of experience in quality engineering, performance, and reliability, Michał helps teams build the confidence to release and operate critical systems.
For more than a decade, he has helped ensure the performance and reliability of a major e-gaming platform. He also designs tailored test automation, AI automation, monitoring, and reliability solutions for complex technology environments.
Let’s talk
Whether you are modernising automation, preparing for a high-demand release, or need stronger confidence in critical integrations, start with a focused conversation.