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Deploy Responsible Generative AI Apps Every Time

AIxamine is a Responsible AI framework that evaluates your GenAI app and supports organization-wide adoption.

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Build Ethical, Transparent, & Trustworthy GenAI Apps

GenAI’s black-box nature makes detecting bias, errors, or hallucinations tough. AIxamine brings clarity with measurable metrics, built-in quality gates to ensure fairness and reliability before launch

  • Evaluate GenAI apps across key metrics like accuracy, bias, and fairness
  • Set predefined KPIs and thresholds to uncover issues before they impact operations.
  • Evaluate GenAI app performance over time with targeted prompts and clear scoring.
  • Integrate into your delivery pipeline to enforce quality gates.

Everything You Need to Deploy GenAI Responsibly

Responsible AI Dashboard
Responsible AI Score
Quality Gate
Prompt Evaluation

Responsible AI Dashboard

Customizable dashboards show where your GenAI app stands against Responsible AI principles.

  • Track key metrics including accuracy, hallucination rate, and bias
  • Visual indicators for threshold breaches with success metrics
  • Tailor views for product, data, and compliance teams
  • Monitor performance across apps, versions, and use cases
Responsible AI Dashboard

Responsible AI Score

A single, holistic measurement of responsibility.

  • Enables fast benchmarking across teams or model versions
  • Updates automatically with each test run
  • Contextual Relevancy and F1 Scores ensure transparency
  • Guides decision-making with clear scoring logic
Responsible AI Dashboard

Quality Gate

Built-in responsibility rules in your CI/CD flow ensuring only expected performance moves forward.

  • Measures against predefined KPI thresholds
  • Built-in responsibility rules in your CI/CD flow ensuring only expected performance moves forward
  • Prevents risky or non-compliant features from being deployed
Responsible AI Dashboard

Prompt Evaluation

Evaluate sample prompts automatically and surface issues early in the SDLC. And get a clear view into prompt failures and why they failed.

Quickly test new releases and features before production.

  • Prompt-level insights by comparing expected vs. actual outputs
  • Assign pass/fail status with detailed scoring for each test run
  • Use root cause detection to uncover why hallucinations or bias occurred
  • Trace failures back to specific prompts or configurations
  • Improve prompts, model tuning, and guardrails with data-driven fixes
  • Export logs for audits, reviews, or QA workflows
Responsible AI Dashboard

Deploying AIxamine with Confidence

Step 1

Environment Setup & Baseline Configuration


AIxamine is deployed in your environment (cloud, hybrid, or on-prem) and configured to your GenAI use case, with baseline KPIs for fairness, accuracy, bias, and hallucinations.

Step 2

We run prompt-based testing (100+ prompts)


We run prompt-based testing and embed quality gates into your CI/CD or SDLC tools to automate Responsible AI checks before each release.

Step 3

Enablement, Handover and Continuous Improvement


Your team gets a ready-to-use AIxamine setup with dashboards, docs, and training—plus support to monitor and improve Responsible AI compliance over time.

Scale On Your Terms Securely

No license or long-term commitments

 

End-to-end support for setup, training and maintenance

 

Customized to your data security and privacy requirements

 

Your data and apps stay private. Only you have access

Evaluating GenAI where accuracy, safety, and compliance can’t be left to chance

Legal & Compliance Ready
Prove GenAI Performance Before Go Live
Development & Quality Assurance
Legal & Compliance Ready
  • Assess GenAI outputs to meet legal and regulatory standards Measure performance and ethics so teams trust your system
  • Enable innovation organization-wide while staying aligned with enterprise policies
Prove GenAI Performance Before Go Live
  • Benchmark your GenAI systems to close gaps quickly
  • Provide measurable KPIs to convince stakeholders of quality and safety
Development & Quality Assurance
  • Evaluate sample prompts and surface issues early in the SDLC
  • Enable data and DevOps teams to iterate swiftly while maintaining confidence

Meet Our AI Experts

Lakshman Kaveti

Lakshman Kaveti

Managing Director & CDO

Viswanath Pula

Viswanath Pula

AVP - Data and AI Solutions

We’re here to help you launch responsible GenAI apps

With data platform accelerators and deep expertise across AI, data analytics, app development, and testing, we turn your GenAI vision into enterprise-ready solutions.

AIxamine FAQs

What is AIxamine?

AIxamine is ProArch’s Responsible AI framework designed to evaluate GenAI systems for bias, hallucinations, fairness, compliance, relevance, and performance. It helps you build and scale GenAI with trust, safety, and transparency baked in.

What business value does the AIxamine deliver?

AIxamine helps reduce rework, avoid compliance failures, and speed up GenAI deployment. It gives legal, product, and engineering teams the visibility and guardrails they need to scale GenAI without risk or guesswork.

How long does it take to implement AIxamine?

A typical AIxamine deployment takes 3 to 4 months. The process includes discovery and use case prioritization, followed by framework setup and evaluation design. Once configured, sample prompt testing is conducted, and quality gates are integrated into your CI/CD pipeline. The deployment wraps up with dashboard configuration, training, and enablement to ensure your teams are fully equipped to maintain Responsible AI practices.

Who is AIxamine for?

AIxamine is designed for organizations at any stage of the GenAI journey—whether you're exploring use cases, preparing for production, scaling solutions across teams, or navigating regulatory reviews and audits. It adapts to your maturity level and helps enforce Responsible AI from day go.

When should the AIxamine framework be applied?

Use AIxamine whenever GenAI outputs could impact customers, compliance, or brand trust:

  • Before launch – validate outputs, enforce trust gates
  • During iteration – flag regressions or risky behavior
  • Post-deployment – monitor real-world performance
  • During audits – export logs and scores for review

How does AIxamine integrate into our stack and support compliance across sectors?

AIxamine is infrastructure-agnostic and easy to integrate:

  • Works with open-source or commercial LLMs
  • Integrates into CI/CD workflows
  • Supports on-prem, cloud, or hybrid environments
  • No lock-in—your models, your data, your control

Whether you're in finance dealing with audit trails, healthcare managing PHI, or retail scaling GenAI across customer touchpoints, AIxamine fits into your stack without disruption or lock-in. It adapts to the compliance and governance standards of your sector, helping you deploy GenAI responsibly and confidently.

Can AIxamine be tailored to our company’s policies and risk thresholds?

Yes. AIxamine is fully customizable—you can define what counts as “acceptable” based on your industry, internal controls, and regulatory environment. It adapts to your use cases, not the other way around.

What are AIxamine’s key features?

  • Trust and quality scoring
  • Prompt and output testing
  • CI/CD integration
  • Cross-team dashboards (Legal, Product, Compliance)
  • Audit-ready logs and explainability

Is AIxamine compatible with our existing GenAI stack?

Yes. AIxamine works with popular LLMs (OpenAI, Azure OpenAI, Anthropic, etc.), integrates into your pipelines, and supports on-prem, hybrid, or cloud environments—with no vendor lock-in.

Why choose ProArch’s Responsible AI framework?

AIxamine is built by ProArch’s AI, governance, and security experts to make Responsible AI real—not theoretical. You get a tested framework, seamless deployment, and long-term support—without platform constraints.

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Deploy Responsible GenAI with Confidence