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Uncover AI Risks
Before They Scale
with AI Audit Services
for Reliable, Compliant Systems

AI Audit Challenges Businesses Need to Solve

Organizations need clear evidence that AI systems are accurate, secure, compliant, and ready to scale:

BLIND SPOTS IN AI SYSTEM PERFORMANCE

BLIND SPOTS IN AI SYSTEM PERFORMANCE

AI models can drift, underperform, or produce inconsistent outputs without a structured AI system audit that validates data quality, accuracy, and monitoring.

BLIND SPOTS IN AI SYSTEM PERFORMANCE

BLIND SPOTS IN AI SYSTEM PERFORMANCE

AI models can drift, underperform, or produce inconsistent outputs without a structured AI system audit that validates data quality, accuracy, and monitoring.

UNCLEAR AI RISK AND COMPLIANCE EXPOSURE

UNCLEAR AI RISK AND COMPLIANCE EXPOSURE

Teams often lack visibility into privacy, security, bias, and regulatory gaps, especially when AI touches healthcare, EdTech, finance, or customer data.

MISSING AI AUDIT CHECKLISTS AND CONTROLS

MISSING AI AUDIT CHECKLISTS AND CONTROLS

Without a practical AI audit checklist, organizations struggle to document model behavior, ownership, approval workflows, and remediation priorities.

GENERATIVE AI QUALITY AND SAFETY GAPS

GENERATIVE AI QUALITY AND SAFETY GAPS

Generative AI systems introduce hallucination, prompt injection, data leakage, and policy risks that require specialized testing before wider rollout.

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what we do

WE OFFER COMPREHENSIVE AI AUDIT SERVICES

  • AI SYSTEM AUDIT AND READINESS REVIEW
  • AI MODEL PERFORMANCE ASSESSMENT
  • AI GOVERNANCE AND COMPLIANCE AUDIT
  • GENERATIVE AI AUDIT
  • AI AUDIT CHECKLIST AND ROADMAP

AI SYSTEM AUDIT AND READINESS REVIEW

We assess AI systems end to end, reviewing goals, data flows, model behavior, integrations, ownership, and readiness for production or wider adoption.

WTT SOLUTIONS IS DEDICATED TO MAKING AI SYSTEMS AUDITABLE AND RELIABLE

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ENTERPRISE AI RISK ASSESSMENT

We identify technical, operational, security, compliance, and reputational risks across your AI portfolio, then translate findings into clear business priorities.

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MODEL QUALITY AND DRIFT REVIEW

Our audit process examines evaluation data, model outputs, drift signals, failure cases, and monitoring coverage to uncover hidden performance issues.

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AI GOVERNANCE & DOCUMENTATION

We help teams create the documentation, ownership model, review process, and audit evidence needed for responsible AI governance.

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GENERATIVE AI SAFETY REVIEW

We evaluate prompts, retrieval flows, guardrails, moderation, sensitive data handling, and output policies for LLM and generative AI products.

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ACTIONABLE AUDIT ROADMAPS

Every AI audit ends with practical remediation steps, from quick control fixes to long-term governance, monitoring, and MLOps improvements.

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ENTERPRISE AI RISK ASSESSMENT

We identify technical, operational, security, compliance, and reputational risks across your AI portfolio, then translate findings into clear business priorities.

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MODEL QUALITY AND DRIFT REVIEW

Our audit process examines evaluation data, model outputs, drift signals, failure cases, and monitoring coverage to uncover hidden performance issues.

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AI GOVERNANCE & DOCUMENTATION

We help teams create the documentation, ownership model, review process, and audit evidence needed for responsible AI governance.

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GENERATIVE AI SAFETY REVIEW

We evaluate prompts, retrieval flows, guardrails, moderation, sensitive data handling, and output policies for LLM and generative AI products.

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ACTIONABLE AUDIT ROADMAPS

Every AI audit ends with practical remediation steps, from quick control fixes to long-term governance, monitoring, and MLOps improvements.

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ENTERPRISE AI RISK ASSESSMENT

We identify technical, operational, security, compliance, and reputational risks across your AI portfolio, then translate findings into clear business priorities.

Success Stories

See how our engineering teams build reliable, data-driven products with the same discipline we bring to AI system audits.

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EXPERTISE

HealthCare

AI

TECHNOLOGIES

React

Plotly.js

Smiles-drawer

TRUSTED EXPERIENCE BEHIND OUR AI AUDITS

INDUSTRY RECOGNITION

USA
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David PerrinUSAUSA

AI Assistant

Partner & CIO

They're true partners in innovation. WTT Solutions' efforts have resulted in a successful MVP launch, over 80% user adoption, and 99.9% system uptime. The team has excellent project management, is responsive, and adapts quickly to changes. Their technical excellence and deep understanding of the client's business goals stand out.

WHY CHOOSE WTT SOLUTIONS FOR YOUR AI AUDIT NEEDS?

At WTT Solutions, we combine AI engineering, product delivery, security thinking, and governance experience to make audit findings useful for real teams.

CUSTOMIZATION

We adapt each AI audit to your models, data sources, industry constraints, risk profile, and current stage of AI adoption.

SOLUTION WE OFFER:

  • Customization

    CUSTOMIZATION

  • Innovation

    INNOVATION

  • EXPERTISE

    EXPERTISE

  • SCALABILITY

    SCALABILITY

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The return on investment you can expect from our work

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Who we are

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Watch

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We're not just talking about great products. We make them together with our clients.

AI AUDIT DELIVERABLES WE PROVIDE

For AI products, internal AI tools, healthcare AI systems, EdTech platforms, and generative AI applications.

AI AUDIT DELIVERABLES WE PROVIDE

For AI products, internal AI tools, healthcare AI systems, EdTech platforms, and generative AI applications.

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READY TO VALIDATE YOUR AI SYSTEMS?

Schedule a free AI audit consultation and get a clear view of model risks, compliance gaps, performance issues, and next steps for safer AI adoption.

Languages, tools, and frameworks

AI & ML
OpenAIOpenAI
Google GeminiGoogle Gemini
Anthropic ClaudeAnthropic Claude
LangChainLangChain
LlamaIndexLlamaIndex
Perplexity APIPerplexity API
RAG / Pinecone / QdrantRAG / Pinecone / Qdrant
Frontend
ReactReact
Next.jsNext.js
TypeScriptTypeScript
VueVue
Nuxt.jsNuxt.js
SvelteSvelte
Tailwind CSSTailwind CSS
Backend
Node.jsNode.js
PythonPython
.NET.NET
NestJSNestJS
FastAPIFastAPI
ExpressExpress
DjangoDjango
Data & Storage
PostgreSQLPostgreSQL
MySQLMySQL
MongoDBMongoDB
RedisRedis
DevOps & Infrastructure
DockerDocker
KubernetesKubernetes
TerraformTerraform
GitHub ActionsGitHub Actions
Mobile & Desktop
React NativeReact Native
FlutterFlutter
ExpoExpo
PythonPython
WPFWPF
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Hi, I’m Serge!
CEO & Co-founder at WTT Solutions
Do you have a new project? Or want to say "Hello"...

Here’s how you can get in touch

QUESTIONS YOU MAY HAVE

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What are AI audit services?

AI audit services evaluate AI systems for accuracy, reliability, compliance, security, governance, and business readiness. A proper AI audit reviews the model, data pipeline, documentation, monitoring setup, risks, and remediation steps so teams can scale AI with more confidence.
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What does an AI audit checklist include?

An AI audit checklist usually covers data quality, model performance, bias and fairness, privacy, security, documentation, governance, monitoring, human oversight, and incident response. WTT Solutions adapts the checklist to your system type, industry, and risk profile so findings are specific and actionable.
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Do you provide AI audit for healthcare, EdTech, and e-learning products?

Yes. We provide AI audit services for healthcare, EdTech, and e-learning systems where privacy, accuracy, user safety, and governance are especially important. The audit can include HIPAA-related readiness, clinical or learning workflow risks, model explainability, and data handling controls.
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When should a company run an AI system audit?

A company should run an AI system audit before launching a new AI product, expanding an internal AI tool, adopting generative AI, or preparing for compliance and stakeholder review. AI audit services are also useful after model drift, security concerns, unexpected outputs, or major data and integration changes.
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Can you audit generative AI and LLM systems?

Yes. Our generative AI audit checks prompts, RAG pipelines, retrieval sources, hallucination risks, guardrails, moderation logic, sensitive data exposure, and output quality. We also review monitoring and escalation flows so teams can operate LLM applications more safely.