Authorise is PinnacleQM's AI platform for business user acceptance, certification and compliance. It automates acceptance against users' criteria and gives them video evidence to approve online.
30+years of international
IT experience
Business users are asked to test every release, retest every fix and prove every requirement, often for months. It takes them away from customers and patients, and still leaves weak evidence of what was actually accepted.
Authorise maps each user's acceptance criteria to automated processes. Virtual workers run them, raise defects and rerun until they pass, then post video evidence to each user's dashboard so they can review and approve with confidence.
Authorise removes the repetitive effort from acceptance while giving users better evidence than manual testing ever could. Evidence replaces repetition.
Once acceptance videos showed a pass.
Each user's acceptance criteria drive what is automated, so everyone agrees what acceptance means first.
Virtual workers retest fixes automatically, so business users are never asked to repeat test cycles.
Every passed activity is recorded on video, so users see exactly what happened rather than reading logs.
Users review and sign off from an online dashboard, and every decision is recorded for audit.
Guidebooks automate compliance, audit and regulatory validation, with consistent evidence ready whenever auditors ask for it.
UAT effort drops from months to days, and business teams return to their day jobs much sooner.
Capabilities for acceptance, certification and compliance.
Project and business teams define key user roles and the acceptance criteria each must see met before signing off an implementation or upgrade, so expectations are agreed before any testing starts.
Business processes, tests and reports are mapped to each user's criteria and executed by virtual worker bots, so business users never need to run test scripts themselves and can focus on the decision.
Bots raise defects when criteria fail and rerun activities automatically until they pass. That saves business users hundreds of hours of retesting after each fix, and keeps acceptance moving between releases.
When an activity passes, bots capture runtime video evidence and post it to the user's online dashboard. Users review it at a convenient time, and their approvals and comments are stored for audit.
Custom or existing compliance guidebooks define what must be verified. Authorise automates the checks and produces consistent evidence run after run, making audits quicker and reducing the manual effort of proving compliance.
Authorise validates acceptance across common browsers, operating systems, and virtual and physical devices, integrating with device labs so users see how changes behave on the devices they actually use, before they approve.
Authorise fits into your existing delivery process, starting with the next release or upgrade, so business users feel the benefit from the first acceptance cycle.
Your criteria.Agree user roles and acceptance criteria with business owners, written in business language.
Link criteria to automated processes, tests and reports, and prepare protected test data.
Virtual workers execute, raise defects and rerun until pass, with progress shown on dashboards.
Users watch evidence videos and approve or reject online, with every decision recorded.
Keep assets for future releases, compliance checks and RPA, so later cycles start faster.
A state health integration re-platforming was delivered by 7 testers in 12 months against competitor estimates of 40 to 46 testers over 36 months.
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Enginuity as a service and a team of 12 replaced a 125-person offshore regression team across a Big 4 bank's end-to-end lending systems.
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HealthTest obfuscated production records, created full test condition variations and tested more than 5 million transactions per day, without exposing any patient information along the way.
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7 min read
Why business acceptance evidence, not test execution counts, should decide go-live, and how to gather it without draining business teams.
7 min read
The evidence, residual risks and conditions a credible go-live recommendation must include for decision-makers to rely on it.
7 min read
What independence adds to testing on multi-vendor programmes, what it does not, and the signs a programme needs it.
Tell us about your next release and your business users' involvement in UAT. We will show how Authorise could reduce their effort and improve evidence.
Mention the system, number of users and current UAT duration.
