Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
UAT passed. The business found it in week one.
Replace UAT spreadsheets and sign-off by email with AI that builds test coverage from the actual requirements, tracks what was really executed, and shows what was never tested at all.
$0
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AI user acceptance testingfor QA and business analysis teams
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.
Sign-off happened. Testing did not finish.
Writing the test scripts was the easy part. Knowing what was genuinely covered is the job.
“This broke on day one. Did anyone test it?”
“We ran out of time and signed off the rest.”
A spreadsheet of passes, and no idea what was never exercised.
You do not need more test cases. You need to know what was never tested — before go-live, not after.
If you own acceptance
Is this your UAT cycle?
Most QA and business analysis teams recognise at least four of these. If you recognise six, the rest of this page is written for you.
- Sign-off happens under deadline pressure regardless of coverage.
- Test scripts are written from memory of the requirements.
- Nobody can say which requirements were never exercised.
- Defects are logged in one tool and tests tracked in another.
- Business users test what they know, not what changed.
- The same regression is missed release after release.
- Evidence of testing is a spreadsheet of initials.
- “Was that scenario covered?” cannot be answered.
None of this is a testing problem. It is a coverage visibility problem.
Is this you?
Worked example — multi-release delivery teamSign-off used to say more about the date than the testing.
Sign-off↓Coveragewhat UAT actually evidences
Several releases a year, test scripts in spreadsheets, and defects tracked somewhere else entirely.
Because coverage was never mapped to requirements, UAT finished when the date arrived rather than when testing was complete — and the gaps were discovered by users in week one.
With test coverage derived from the requirements themselves and execution tracked against it, untested areas are visible before go-live and sign-off means something specific.
Go-live decision, 9am
What you walk into the go-live decision with
Today
A spreadsheet of passes.
- Sign-off driven by the date
- Scripts written from memory
- Untested requirements invisible
- Defects and tests in separate tools
→
With Praxie
A coverage map you can act on.
- Coverage derived from the requirements
- Untested areas visible before go-live
- Defects linked to the tests that found them
- Sign-off that means something
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.
See Praxie in Action Now
What got through UAT and broke in production?
Now select a day and time below.
Why UAT Sign-Off Proves Little
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
Questions QA Leaders Ask Us First
The objections we hear in the first 20 minutes — answered plainly.
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.
Which release would you re-check first, if coverage was visible?
Send us one of your recent UAT cycles. We’ll show you what Praxie would surface — your requirements, your tests, your gaps.
1Send us a UAT cycle230-minute review3Free pilot on your data
See Praxie in Action
No cost, no obligation — and you keep what we find either way.