AI automation that reuses
every asset you build.
AI automation for IT and business teams, from development and testing to business acceptance, support and RPA. Natural-language, no-code assets are built once and reused across the whole lifecycle.
Four domains.
One reusable automation platform.
PinnacleQM's AI automation platforms serve IT delivery, business teams, enterprise systems and industry software. The same natural-language assets move between domains, so automation investment keeps paying back.
IT Automation
Automation across development and testing, user acceptance, production support and business process RPA, using PinnacleQM and leading vendor platforms, with assets reused at every stage.
- Continuous testing in CI/CD
- Automated user acceptance
- Support and patch regression
- Asset reuse for RPA
Business Automation & RPA
AI automation that reduces the time business teams spend on acceptance, compliance and repetitive processes, with zero-code instructions they can maintain.
- Agile business user acceptance
- Certification and compliance checks
- Business process automation
- Zero-code maintenance
Enterprise Systems Automation
Automation for SAP, Salesforce, Microsoft Dynamics, ServiceNow and Oracle projects, integrations, migrations, support and production operations, built once and reused across the whole system lifecycle.
- End-to-end process automation
- Smart data obfuscation
- Patch and upgrade regression
- Virtual workers at scale
Industry-Specific Automation
Automation for niche industry systems and protocols, helping software vendors and their clients test base products and client builds in hours.
- Vendor-specific platform adaptation
- Base and variant builds
- Industry messaging standards
- Implementation acceleration
Five platforms
that do the work.
Each platform solves one automation problem. Together they share natural-language assets.
-
Test management
QMFactory central command console
Plans coverage, stores reusable assets, schedules automation and reports progress on real-time dashboards across Agile, DevOps, hybrid and waterfall projects.
- Integrates with CI/CD pipelines
-
Test automation
Enginuity codeless test automation
Natural-language scripts anyone can write, executed by virtual testers 24/7 across web, mobile, API, mainframe and data layers, with self-healing that keeps tests working.
- Self-heals after application changes
-
Business acceptance
Authorise automated user acceptance
Maps users' acceptance criteria to automated processes, reruns them until they pass and records video evidence for online sign-off, cutting business effort from months to days.
- UAT effort from months to days
-
Test data
Enigma test data and obfuscation
Protects personal and sensitive data while creating realistic, production-volume data for development, testing and training, with referential integrity kept across every system.
- Keeps referential integrity
-
Business RPA
Aurora business process automation
Natural-language RPA that business users can create and maintain themselves, reusing project automation assets in production operations so processes are not automated twice.
- Attended or unattended modes
Automation as a service
on AWS and Azure.
PinnacleQM runs a single cloud delivery platform that combines leading vendor test, delivery and automation tools with open-source tools, API integrations and PinnacleQM's own AI platforms. Teams get a ready-made automation ecosystem without building or maintaining it themselves.
The Platform-as-a-Service flexes on demand, scaling virtual workers up for peaks and back down afterwards. It can be hosted on PinnacleQM's AWS or Azure platforms or in your own cloud or data centre, with data kept in its country of origin where required.
Automation questions,
answered plainly.
What IT and business leaders ask before automating with PinnacleQM.
Do we need technical teams to use PinnacleQM's automation?
No. PinnacleQM designs its platforms so automation does not require coding. Natural-language scripts can be written and read by testers, business analysts and business users, rather than only specialist automation engineers. PinnacleQM’s technical team completes the initial machine-learning setup for each application, after which your team can build and maintain automation themselves.
Will the platform scale to support all our teams?
Yes. PinnacleQM’s platforms run on AWS and Azure and are sized to your demand, and the virtual worker execution platform scales from one worker to very large numbers. In practice, the limit is usually the performance of your test environment, which may struggle with the volume of tests the virtual workers can run at once.
Does PinnacleQM's automation work with Selenium?
Yes. Enginuity can act as a no-code AI framework on top of Selenium for web and mobile testing. PinnacleQM’s technical team can also use Enginuity’s machine learning to convert most common coded automation scripts, including Selenium, into natural-language scripts that virtual workers can run, so existing investment is not lost.
Can we reuse test automation for RPA?
Yes. Asset reuse is central to PinnacleQM’s approach. Natural-language scripts built for development, testing and business acceptance can be resurfaced in Aurora for business process automation and RPA in production. Reusing assets saves the time and cost of building RPA separately and improves the return on every automated process.
Can we use PinnacleQM's platforms in our own data centre?
Yes. PinnacleQM’s platforms are available as SaaS on AWS and Azure, and can also be installed in your own cloud, data centre or test environments by PinnacleQM’s licensing and technical teams. Sensitive data can be kept in its country of origin, for example Australian customer data staying in Australia.
See automation run
on your systems.
A demo or trial on a representative workflow shows what PinnacleQM's automation can do for your team, with success criteria agreed before we start.
- Tell us about your systems, processes and current automation tools.
- We agree a representative workflow and clear success criteria together.
- You see the results and decide whether to scale.