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☁️ AWS Advanced Consulting Partner  ·  Amazon Bedrock  ·  Claude Sonnet 4.6

AI-Powered QA
on AWS Bedrock

11 live working demos showing how generative AI transforms quality assurance — faster testing, better coverage, zero human-factor misses.

We are a certified partner: AWS Atlassian Red Hat Salesforce GitLab
11
Live Demo Cases
~15s
Avg. AI Response
$0.07
Cost Per Run
400×
Faster Than Manual
10+
Years DevOps &
CloudOps Experience
250+
Happy Clients Across
12+ Countries
1,000+
Optimized Environments
& Platforms
$10M+
Saved Through Automation
& Smart Scaling
How We Can Help You Grow
We deliver end-to-end digital transformation — from cloud migration to AI-powered QA automation. One accountable partner with SLA-backed guarantees.
☁️

Custom & Hybrid Cloud Architecture

Design, deploy, and maintain high-performance cloud environments tailored to your business needs and compliance requirements.

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🚀

Strategic Cloud Migration & Modernization

Zero-downtime migration capabilities with architecture optimization for efficiency. Move to AWS with confidence.

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⚙️

DevOps Acceleration & CI/CD Automation

Streamline your software delivery lifecycle. GitLab CI, CodePipeline, Terraform, Kubernetes (EKS) — automated end-to-end.

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📊

Managed Cloud Operations (CloudOps)

24/7 proactive monitoring, security, and optimization with SLA guarantees. We run your cloud so you focus on product.

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🔧

Partner Platform Implementation

Atlassian (Jira, Confluence, JSM), Red Hat ecosystem integration — certified experts for enterprise workflows.

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🤖

AI-Powered QA & Testing Automation

AWS Bedrock + Claude AI transforms your QA pipeline. 11 use cases from test generation to performance analysis — in seconds.

Try Live Demo →
☁️ AWS Advanced Consulting Partner 🤖 AWS Generative AI Competency ⚙️ AWS CloudOps Competency ✓ SLA-Backed Delivery 🌐 triangu.com consult@triangu.com
The Challenge
QA teams are skilled.
But not fast enough.
Manual QA processes create bottlenecks, miss edge cases, and don't scale with modern release velocity.

😓 Without AI — Today

  • Writing test cases takes 2–3 hours per endpoint
  • Bug triage is inconsistent — depends on who's on call
  • Test data is manually created, rarely covers edge cases
  • Visual regressions slip through to production
  • QA engineers spend 40% of time on documentation
  • Human fatigue causes misses at end of sprint

🚀 With AWS Bedrock — Tomorrow

  • 8 test cases generated from API spec in 25 seconds
  • Every bug triaged consistently in under 20 seconds
  • Realistic test datasets with edge cases on demand
  • Visual regressions detected automatically after deploy
  • AI assistant answers QA questions 24/7
  • No fatigue, no misses, no end-of-sprint shortcuts
Architecture
How it works
📋
Your Input
API spec, bug report, schema, or screenshot
AWS Lambda
Serverless — routes and processes the request
🧠
Amazon Bedrock
Claude Sonnet 4.6 analyzes and generates
📊
Structured Result
Test cases, triage, data, or analysis
🔗
Jira / Confluence
Auto-pushed to your existing tools
Demo Cases
11 ways AI transforms QA
Click any case to see full details. Each is a working integration — not a mockup.
Case 01
🤖
Intelligent Test Case Generation
Paste an API spec. Claude generates 8 comprehensive test cases — happy path, edge cases, security, performance — in under 30 seconds. Pushes directly to Jira.
15
Test Cases
25s
Time
$0.08
Cost
Happy PathEdge CasesSecurityJira
Case 02
🐛
Automated Bug Report Triage
Paste a bug report or CloudWatch log. Bedrock returns severity, priority, root cause hypothesis, reproduction steps, investigation checklist, and executive summary in 18 seconds.
18s
Triage
P1–P4
Auto Priority
$0.05
Cost
Root CauseSeverityJira Update
Case 03
🗄️
Intelligent Test Data Generation
Describe your schema in plain English. Bedrock generates realistic, varied test data with edge cases automatically included. Export to CSV in one click.
50
Records/Run
Auto
Edge Cases
$0.09
Cost
Realistic DataEdge CasesCSV Export
Case 04
👁️
Visual Regression Testing
Upload two screenshots — before and after deployment. Claude's multimodal vision analyzes differences semantically: not pixel-by-pixel, but understanding what changed and whether it matters.
3
Verdicts
Vision
AI Model
$0.12
Cost
PASS/REVIEW/FAILMultimodal AICI/CD
Case 05
💬
QA Copilot — Conversational Assistant
Chat interface connected to your project knowledge: test coverage, recent changes, known bugs, team structure. Ask anything, get specific actionable answers.
24/7
Available
Context
$0.04
Per Msg
ConversationalProject-AwareConfluence+Jira
Case 06
📋
AI Release Notes Generator
Pulls completed Jira tickets from your sprint. Generates technical changelog, user-facing release notes, and executive summary simultaneously — in under 30 seconds.
3
Doc Formats
30s
Generation
$0.07
Cost
Jira IntegrationConfluenceAuto
Case 07
🔍
API Contract Change Detector
Compare two API specifications. Claude identifies breaking changes, deprecated endpoints, and migration requirements — before they break your consumers in production.
Auto
Detection
Jira
Tickets
$0.08
Cost
Breaking ChangesMicroservicesAPI
Case 08
📊
CloudWatch Log Anomaly Analysis
AI reads your CloudWatch logs, finds anomalies, error spikes, latency degradations, and memory leaks — before customers report them. Creates Jira incidents automatically.
24/7
Monitoring
Auto
Incidents
$0.06
Cost
CloudWatchProactiveSRE
Case 09
Performance Test Analysis
Paste k6 or JMeter results. Claude identifies bottlenecks, explains root causes, checks SLA compliance, and generates a prioritized optimization roadmap — with Jira tickets.
SLA
Compliance
Root
Cause AI
$0.07
Cost
k6 / JMeterBottlenecksSLA
Case 11
⚙️
Test Automation Code Generator
Paste API spec + test cases from Case 1. Claude generates production-ready test code for Cypress, Playwright, or pytest — complete with imports, assertions, and setup instructions.
6+
Frameworks
Copy
& Run
$0.08
Cost
pytestCypressPlaywright
Case 10
🔄
AI Regression Suite
One click — AI runs all 10 QA cases sequentially, compares results, and reports pass/fail for each. Catches regressions across your entire QA pipeline in under 3 minutes.
10
Cases
~3m
Total
$0.70
Cost
RegressionAll CasesPass/Fail
Return on Investment
Time saved per sprint
Conservative estimates: 4 QA engineers, 2-week sprints, 20 endpoints per sprint. Actual savings vary by team size and process complexity.

Test Case Writing

Before: 40 hours/sprint
After: 4 hours/sprint
36h
saved per sprint

Bug Triage

Before: 8 hours/sprint
After: 0.5 hours/sprint
7.5h
saved per sprint

Test Data Prep

Before: 12 hours/sprint
After: 1 hour/sprint
11h
saved per sprint
Cost Transparency
What does it actually cost?
CaseActionCost / Run50 runs/month
Case 1 — Test GenerationGenerate 8 test cases from API spec~$0.08~$4.00
Case 2 — Bug TriageAnalyze one bug report~$0.05~$2.50
Case 3 — Test DataGenerate 20 records~$0.09~$4.50
Case 4 — Visual RegressionCompare two screenshots~$0.12~$6.00
Case 5 — QA CopilotPer conversation message~$0.04~$2.00
Lambda + API GatewayAll functions combined~$0.00~$0.00
Case 6 — Release NotesGenerate 3-format release notes~$0.07~$3.50
Case 7 — API ContractAnalyze API spec changes~$0.08~$4.00
Case 8 — Log AnomalyAnalyze CloudWatch log batch~$0.06~$3.00
Case 9 — PerformanceAnalyze performance test results~$0.07~$3.50
Case 11 — AutocodeGenerate test automation code~$0.08~$4.00
Total (all 10 cases, 50 runs each)~$37/month
Next Steps

Ready to start?

We recommend Case 1 or Case 2 first — highest ROI, fastest to implement, easiest to measure. Full integration in 4 weeks.

Week 1–2
Integration into your AWS environment
Week 3
Connect to your Jira & Confluence
Week 4
QA team onboarding & first sprint
Let's discuss this →