Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
AI-Powered User Acceptance Testing
Replace spreadsheets, email threads, and scattered test tracking with AI that builds test cases, plans UAT cycles, tracks execution and defects, and speeds sign-off before you go live.
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A super fast way to see how AI user acceptance testing works for your team.
Customer Success Stories
Dylan Hoback
Accu-Tube
Jason Carpenter
Environmental Pest Management
With Praxie, I found a way to take what was in documents and spreadsheets and provide my team with a visual application environment to drive our strategy with full accountability.
Elizabeth Pridham
Perfection Fresh
Praxie dramatically improved our process through digital transformation. We now have visibility and can drive decisions at a fraction of the time.
Scott Russell
NUCOR Vulcraft
I would heartily recommend the Praxie team to any organization seeking to seriously undertake a lasting and successful innovation process.
Mike Bainbridge
Dover Food Retail
Our MFG Ops application greatly improved our daily management initiatives. It is easy to see how we are doing, identify issues, and track improvements—no matter where we sit.
Jeff Piotrowicz
ChemLink
With Praxie we've created a way to report on complex projects that gives management full visibility. Executives have visibility to projects, assignments, and more at their fingertips.
Maureen Thompson
American Nurses Association
Our Praxie App makes it easy to track progress on strategic objectives across the organization and includes an executive-level dashboard with real-time reports to the board on key initiatives.
Tom Anderson
Springfield Armory
Praxie is used every day to track and analyze every aspect of production, quality, safety, and more. We improved quality by 10%.
Peggie Pelosi
Innovators Alliance
Almost overnight, Praxie created a customized solution for our 100 member organizations across Canada to drive strategy and innovation.
Kate Merton
Anthem
Praxie's innovation solution stood out from other options because it can be customized so quickly to fit our exact process requirements. Plus, it is incredibly easy to use and manage.
User Acceptance Testing Is Complex - AI Can Help
Stop chasing test results with spreadsheets, disconnected email threads, and tribal knowledge. Praxie’s AI-powered UAT brings requirements, test cases, test plans, defects, testers, and coverage insights into one secure workspace so teams can plan smarter, test faster, and improve release quality over time.
Fewer production defects
Faster test execution
Smarter test planning
1
Systems, Apps & Releases
2
Test Cases & Scenarios
3
Test Plans & Cycles
4
Defects & Issue History
5
Coverage, Pass Rate & Defect Aging
6
Test Data & Environments
7
Testers, Roles & Availability
AI UAT
Engine
OK
UAT
RISK
PLAN
WATCH
8
Test Scripts & SOPs
9
Sign-off & Escalation Flows
10
Recurring Defects & Hotspots
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Vendor & Integration Testing
12
Compliance & Audit Evidence
13
Test Effort, Time & Cost
14
Blockers, Regressions & Exceptions
Why it’s difficult
UAT is not just a checklist. It is a constantly changing system where requirements, test cases, defects, testers, and go-live deadlines all compete for attention.
Every release is differentScope, risk, requirements, test data, and tester skills all matter.
Priorities change in real timeNew requirements, change requests, defects, and urgent go-live dates constantly shift the plan.
Small misses become big production defectsA missed test case, untested change, or unresolved defect can create cascading delays and costly production failures.
AI Optimized UAT Plan
Test CasePriorityStatus
Login & permissions test casesHighPlanned
End-to-end order flow scenarioMediumReady
Payment integration regressionRiskPassed
Report accuracy validationLowAssigned
Critical defect root-cause reviewHighEscalate
Higher coverage
Faster sign-off
Better test planning
Closed-loop improvement
AI-Powered User Acceptance Testing: Jobs to Be Done
Instead of a feature dump, Praxie organizes UAT capabilities around the real work IT leaders, business analysts, QA testers, and end users need to accomplish every day.
1
Plan tests and coverage
Unify requirements, test cases, environments, and past results to see which areas need testing attention.
- Requirements and test case mapping
- Test scenarios and coverage inputs
- Defect, execution, and release history
- Jira, Azure DevOps, ERP, and app integrations
Outcome: teams know what to test before defects reach production.
2
Prioritize the right tests
Use AI to rank test cases by risk, business criticality, coverage gaps, and likely effect on release quality.
- Risk scoring for requirements and test cases
- Smoke, regression, and end-to-end test planning
- Business impact, risk, and coverage context
- Test-cycle triage and scheduling recommendations
Outcome: the highest-risk tests get run first.
3
Execute UAT efficiently
Coordinate testers, test data, scripts, and defects so testing gets done faster and with fewer delays.
- Digital test cases and tester workflows
- Test data, environment, and defect coordination
- Standard scripts, checklists, and mobile execution
- Escalations, sign-offs, and status visibility
Outcome: teams complete testing reliably with fewer defects and rework.
4
Improve quality over time
Turn defect history, root-cause insights, and recurring issues into better test strategies and continuous improvement.
- Defect trend analysis and recurring issue detection
- Root cause analysis and corrective action tracking
- Quality KPIs, coverage, pass rate, and defect analytics
- AI suggestions for optimization and defect prevention
Outcome: every UAT cycle becomes a learning loop for higher release quality.
1
Plan tests and coverage
2
Prioritize the right tests
3
Execute UAT efficiently
4
Improve quality continuously
Fewer Production
Defects
Defects
Higher Test
Coverage
Coverage
Faster UAT
Sign-off
Sign-off
Improved Quality
and Confidence
and Confidence
ROI of Moving from Spreadsheet Testing to AI-Powered User Acceptance Testing
A simplified view of how teams move from manual test tracking and last-minute sign-offs to connected AI UAT that improves coverage, reduces cost, and keeps releases on schedule.
1
Traditional UAT
Manual trackingTeams find defects late, after they already reach production.
Paper and spreadsheetsTest cases, cycles, and defect history are hard to track.
Limited coverage visibilityRequirements, test cases, results, and defects stay disconnected.
Hidden riskEscaped defects, rework, delayed launches, and missed requirements.
2
Transition to AI-Powered UAT
Connected requirement data + test case logic + AI quality intelligence
3
AI-Powered User Acceptance Testing
Catch defects earlierAI flags coverage gaps, risks, and high-risk changes.
Automated test casesCreate, assign, prioritize, and track testing in one place.
Better coordinationTesters, analysts, developers, and business teams stay aligned.
Smarter decisionsDashboards, alerts, root cause insights, and AI recommendations.
Key ROI Elements
30%
Fewer Production Defects
Catch defects earlier and reduce costly production fixes.
40%
Faster UAT Cycle Time
Cut delays from test case to execution to sign-off.
25%
Higher Test Coverage
Cover every requirement and critical path.
15%
Lower Rework Cost
Reduce rework, retests, and repeat defects.
Fewer
Missed Requirements
Connect every requirement to a test case.
Higher
Release Confidence
Launch with full stakeholder sign-off and confidence.
Business Impact: fewer production defects, faster UAT execution, higher test coverage, and lower total rework cost.
How Praxie Compares for AI-Powered User Acceptance Testing
A simple view of the UAT and test management landscape — and why Praxie delivers more coverage insight, faster test execution, and smarter release quality for teams.
Spreadsheets &
Email Tracking
- Manual status tracking
- Email-based test requests
- Limited defect history
- Hard to track coverage
- Higher escaped-defect risk
Generic Project /
Task Tools
- Good for general tasks
- No test case structure
- No coverage tracking
- Weak defect linkage
- Limited AI guidance
Traditional Test
Management Tools
- Good test case control
- Requirement traceability
- Can become data-entry heavy
- Limited business context
- Often weak AI insight
Point
Bug Tracking Tools
- Useful for logging bugs
- Tracks defect status
- Weak on test planning
- Disconnected from requirements
- Limited UAT workflows
★ BEST FIT
Praxie AI-Powered
User Acceptance Testing
- AI test cases, coverage & defects
- Risk-based test prioritization
- Connects Jira, Azure DevOps, ERP & apps
- Dashboards, workflows & tester guidance
- Faster deployment, lower complexity
UAT workflow flexibility
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Real-time defect visibility
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✓
AI risk detection & recommendations
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✓
✓
Test cases, coverage & defects
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✓
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✓
Connected requirement, test & defect data
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✓
Speed to deploy and adapt
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✓
Why Praxie
Stands Out
Stands Out
More flexible than rigid test management suites
Far more automated than spreadsheets and email tracking
Broader than point bug tracking tools
Faster to deploy than heavy test-suite rollouts
FAQ: AI-Powered User Acceptance Testing
Clear answers to the most common questions teams ask when moving from manual test tracking, spreadsheets, and disconnected tools to intelligent, AI-powered user acceptance testing.
1
How does AI improve user acceptance testing — and can my team trust it?
Answer: The AI helps testing teams make better decisions by analyzing requirements, test cases, past defects, coverage, and execution results. Recommendations are explainable, so teams can see why a test or area needs attention and stay in control of every UAT decision.
2
Can this reduce escaped defects and production issues?
Answer: Yes. AI-powered UAT identifies coverage gaps, recurring defects, untested changes, and high-risk areas before they reach production. This helps teams shift from last-minute testing to planned, risk-based, and thorough acceptance testing.
3
How does the system help manage test cases and tester priorities?
Answer: The AI can help create, categorize, prioritize, and route test cases based on business criticality, defect risk, release impact, required skills, and test history. Teams get a clearer view of what needs to be tested first and why.
4
Will this help us find root causes and recurring quality issues?
Answer: Yes. The system analyzes patterns across defects, failed tests, corrective actions, and tester comments to identify repeat problems, likely root causes, and improvement opportunities across releases, modules, teams, or vendors.
5
Is this better than spreadsheets or a basic bug tracker?
Answer: Yes. Traditional tools often store defects but do not actively interpret them. AI-powered UAT connects requirements, test cases, results, and coverage so teams can predict risks, optimize test plans, and continuously improve release quality.
Bottom line: AI-powered user acceptance testing helps teams reduce escaped defects, prioritize the right tests, improve coverage, and move from manual tracking to proactive, risk-based UAT execution.