Device Farm monitoring with AI agents (Smart Farm)
Up to 90%of tickets anticipated
Quality and Experience
We build quality with AI and data from the start of the cycle: we anticipate failures, reduce delivery time and connect performance, behavior and experience to business results.
10 offerings
What we deliver in Quality and Experience
Ten offerings along the journey: from maturity assessment to what happens to users in production.
QA and DevEx assessment
Assesses quality maturity, developer experience and engineering practices, and pinpoints the bottlenecks holding back speed and quality.
QA pipeline automation and governance
A continuous quality model integrated into pipelines, where tests, metrics and risk signals evolve on their own.
Device farm and synthetic monitoring
Combines device farms, synthetic testing and observability to simulate critical journeys before failures reach users.
Performance engineering
Driven by data and AI, it identifies limits, bottlenecks and risks before they affect customers and operations.
Quality mentoring (low-code and AI)
Enables business users and internal teams to take part in quality with low-code tools and AI assistance.
Digital experience monitoring and analytics
Observes in real time how users actually interact with digital products and links performance and behavior to business value.
Generative AI quality platforms
Platforms that speed up testing, prioritize risks and automate complex analysis.
SAP Quality Assurance
Integrity, stability and performance of implementations, upgrades and rollouts in the SAP ecosystem (S/4HANA, ECC and BTP).
TDM and service virtualization
Strategies for generating, masking and governing test data, with security, compliance and representativeness, plus simulated dependencies.
Continuous testing
Builds quality engineering into the product architecture, with testing, automation, data and AI from the start of the cycle.
How it works
Quality in motion, from requirement to production
Assess
Start by measuring maturity
The QA and DevEx assessment shows where quality is holding back speed and defines the action plan.
Design
Secure data and simulated dependencies
AI platforms prioritize risk; test data is generated and masked and external APIs are virtualized, with no waiting for environments.
Test
Testing inside the pipeline, with Prime Quality AI
Continuous testing, governed pipelines, performance and SAP QA. Prime Quality AI covers the cycle from requirement to executive report.
Observe
Simulate the journey before real users do
Device farms and synthetic monitoring anticipate failures; digital experience analytics link what users experience to business results.
Enable
Quality belongs to the business too
Low-code and AI mentoring brings quality to people outside QA and closes the learning loop.
Our AI platform
AI agents for Quality and Experience
Tests generated, executed and analyzed from requirement to result, with on-demand data, environments and devices.
Prime Control AI
- Prime Bench AI
AI for observability of digital experiences on public data.
- Prime Observability AI
AI adoption, timelines, cost and quality in an executive dashboard.
- Prime Quality AI
AI agents for the entire quality workflow.
- Prime Service Virtualization
Service virtualization for API testing.
- Prime Smart Farm AI
Intelligence layer for mobile testing on physical and emulated devices.
- Prime TDM AI
Test data generation with artificial intelligence.
- Prime Voice AI
AI for voice and IVR testing.
Prime Control AI
AI agents in Quality and Experience
Prime Quality AI covers the cycle from requirement to executive report, with Prime Bench AI inside it. Around it, QA process accelerators.
Prime Quality AI6-agent cycleincludes Prime Bench AI
1QA Analyst
2QA Explorer
3QA Consultant
4QA Scenario
5QA Automator
6QA Reporter
Prime Evaltests AIs
Prime Voice AIvoice agents
Prime Chat AItext agents
Prime Document AIvalidates documents
Prime Smart Farm AIdevice farms
Prime Context AIaccount memory, connected to Hyperautomation, Quality and Experience and SAP Services
- Prime Quality AI6-agent cycle; includes Prime Bench AI
- QA Analyst
- QA Explorer
- QA Consultant
- QA Scenario
- QA Automator
- QA Reporter
- Prime Evaltests AIs
- Prime Voice AIvoice agents
- Prime Chat AItext agents
- Prime Document AIvalidates documents
- Prime Smart Farm AIdevice farms
- Prime Context AIaccount memory, connected to all three areas
In: requirements, user stories and API documentation
Out: BDD scenarios, scripts, regressions and an executive report
Integrates with Jira and Azure DevOps, in the cloud or on-premise. Every step has specialist approval and oversight.
Case studies
Quality that shows up in metrics
Challenge, solution and impact from real projects in this area. Clients are not identified.
Pension fund
Squads unblocked by service virtualization
Challenge
Squads stalled for lack of environments, more than 200 APIs without technical validation, 30 Program Increments piled up in the backlog and dependence on external acceptance testing.
Solution
- API simulation with service virtualization, to test without the back end
- Test automation for more than 200 APIs in up to two sprints
- Security requirements (AES-256, mTLS) and governance with manuals, Jira boards and KPIs
Impact
Critical backlog unblocked in four weeks, fewer production bugs and more efficiency per sprint.
- 60% → <10%squad idle time
- 30 PIsunblocked in just four weeks
- −35%production bugs
Financial services
QA culture at a global financial institution
Challenge
Little visibility into what to test, no traceability or metrics, a lot of rework and no performance testing on critical releases.
Solution
- Maturity assessment and action plan
- QA lifecycle with methods, metrics and tools
- Performance testing, API and web automation, and governance with Jira and Zephyr Squad
Impact
QA involved from the start of each request, with more traceability and more stable critical releases under high demand.
- −40%rework
- −60%regression testing time, with automation
- 100%traceability in validations
Automotive industry
QA for a vehicle manufacturer's Oracle EBS upgrade
Challenge
No QA processes or governance, execution dependent on non-specialist key users, and a goal of cutting errors from 32% to 15% in a complex upgrade.
Solution
- QA elevated to a strategic priority, with a ranking to speed up delivery
- Interim ALM to centralize scenarios and evidence, and key user training
- Go/No-Go support based on metrics and report-driven traceability
Impact
Predictability in the upgrade, with failures found before reaching end users and almost all planned coverage executed.
- 170failures identified before reaching end users
- 96%of planned scenarios executed
- 1 bugof low impact released to production
Results reported by Prime Control in its corporate portfolio.
Differentiators
Why Prime Control for Quality and Experience
- 01
Quality as part of the architecture
Testing, automation, data and AI come in from the start, not at the end of the project.
- 02
AI and data anticipating failures
Quality platforms with generative AI and Prime Quality AI from requirement to executive report.
- 03
Experience measured where it happens
Digital experience monitoring, device farms and synthetic testing connect what users experience to results.
- 04
A recognized reference in continuous testing
7 years as a leader in the ISG Provider Lens for Continuous Testing, plus QA experience in SAP, Oracle and enterprise systems.
Frequently asked questions
About Quality and Experience
Did not find what you were looking for? Talk to a specialist.
What is continuous testing?
Continuous testing treats quality as part of the product architecture: testing, automation, data and AI come in from the start of the cycle and run integrated into delivery pipelines.
What is service virtualization and when should you use it?
Service virtualization simulates APIs, web services and unstable external dependencies on demand. It lets you test without waiting for environments and without consuming paid APIs in production.
What is test data management (TDM) for?
TDM generates and masks test data for any business scenario, removes the need for real production data in staging and helps maintain compliance with LGPD (Brazil's data protection law).
How does AI fit into software quality?
AI analyzes requirements, generates scenarios, automates scripts, runs regressions and delivers executive reports. On our team, Prime Quality AI runs this cycle with specialist approval and oversight.
How does QA work in an SAP upgrade?
The QA strategy covers implementations, upgrades and rollouts on S/4HANA, ECC and BTP, with regression testing, end-to-end scenario automation and metrics to support Go/No-Go.
What does Prime Control deliver in Quality and Experience?
We deliver QA engineering, test automation, observability and data intelligence, from maturity assessment to performance engineering and testing on real devices. The goal is for software to reach production with no surprises and with the customer experience protected.
How does AI fit into testing?
Through Prime Quality AI and the other agents on our AI platform, which analyze requirements, generate cases, automate execution and report results. Self-healing scripts reduce maintenance, and specialists validate every delivery before production.
Do you test apps on real devices?
Yes. Our Device Farm validates Android and iOS apps on physical and emulated devices, at scale, with Prime Smart Farm AI. At Vivo, that means more than 90 smartphones and more than 3,000 automated tests per regression.
How do you ensure performance on peak dates like Black Friday?
With Performance Engineering: load and stress testing, infrastructure and application analysis and a monitored baseline. In the AI-driven version, Prime Bench AI identifies limits and bottlenecks before they reach customers.
Does Prime Control serve payments and Pix?
Yes. We test acquirers, gateways, cards, digital wallets, Pix (Brazil's instant payment system) and reconciliation systems, focused on failure-free transactions and PCI-DSS compliance.
Is Prime Control recognized in software testing?
Yes. We are leaders in the ISG Provider Lens 2026 as Continuous Testing Specialists in Brazil, in the AI-driven ADM Services quadrant, and we have been among the study leaders for 7 years in a row.
Where do I start?
With the QA Maturity, DevEx and CX Assessment. It delivers your current maturity level, a map of bottlenecks and a prioritized improvement roadmap that guides the next solutions.
RESULTS
Results in Quality and Experience
Projects delivered by Prime Control: the problem, what we did and the result.
QA maturity assessment based on TMMi
41maturity gaps identified
Executive governance of a strategic project
Risks and schedule deviations identified early
Bring AI to your operation, with specialists in control
Talk to a specialist in Hyperautomation, Quality and Experience or SAP Services. The first conversation already comes with a diagnosis.
- Email[email protected]
- WhatsApp(11) 99710-5783