AI Governance & Compliance Services
Build responsible, ethical, and compliant AI systems with enterprise governance frameworks that protect your organization, your customers, and your brand.
500+
Projects Delivered
72 hrs
Avg MVP Delivery
40–70%
Cost Reduction
98%
Client Satisfaction
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How It Works
From Strategy to Live in Weeks
Discovery Call
We map your workflows, data, and goals in a 30-min call.
Custom Build
Our team designs and deploys your AI solution — fast.
Launch & Scale
Go live with training, support, and ongoing optimization.
As AI becomes central to business operations, governance is no longer optional — it's a competitive necessity and regulatory requirement. ConsultingWhiz helps organizations build comprehensive AI governance frameworks that ensure your AI systems are fair, transparent, secure, and compliant with evolving regulations. From GDPR and CCPA to emerging AI-specific regulations, we keep your AI deployments on the right side of the law and aligned with ethical best practices.
Live Demo
See AI Governance & Compliance Services In Action
Real-time simulation of how our AI Governance & Compliance Services solution processes data and delivers results.
Why ConsultingWhiz
The Competitive Edge
Regulatory Compliance
Stay compliant with GDPR, CCPA, HIPAA, EU AI Act, and emerging AI regulations across all jurisdictions.
AI Ethics Framework
Establish clear principles for fair, transparent, and accountable AI that aligns with your values.
Bias Detection & Mitigation
Systematic testing and mitigation of AI bias to ensure fair outcomes across all demographic groups.
AI Security
Protect AI systems from adversarial attacks, prompt injection, data poisoning, and model theft.
Audit & Documentation
Comprehensive AI documentation, model cards, and audit trails that satisfy regulators and auditors.
Stakeholder Trust
Build customer, employee, and investor trust through transparent, responsible AI practices.
What's Included
Everything to Scale with AI
AI Governance Framework Design
Develop policies, procedures, and oversight structures for responsible AI development and deployment.
Regulatory Compliance Assessment
Audit existing AI systems for compliance with GDPR, CCPA, HIPAA, EU AI Act, and other regulations.
AI Risk Assessment
Systematic identification and assessment of AI risks: bias, security, privacy, reliability, and reputational.
Model Documentation & Model Cards
Comprehensive documentation of AI model purpose, training data, performance, limitations, and appropriate use.
Bias Testing & Fairness Analysis
Statistical testing for demographic bias in AI outputs with remediation recommendations.
AI Security Assessment
Penetration testing for AI systems including adversarial attacks, prompt injection, and data poisoning.
AI Incident Response Planning
Procedures for detecting, responding to, and recovering from AI system failures and misuse incidents.
AI Ethics Training
Training programs for AI developers, product managers, and executives on responsible AI principles.
Industry Use Cases
Real Results Across Every Industry
Regulatory issue resolved, model fairness improved, $5M potential fine avoided
5 AI tools deployed safely, zero compliance incidents, HIPAA audit passed with commendation
Bias reduced by 78%, regulatory scrutiny resolved, enterprise sales increased 40% due to trust
Full CCPA compliance achieved, customer trust maintained, potential class action lawsuit avoided
Passed regulatory audit first attempt, model bias reduced 60%, full explainability for every underwriting decision
FDA submission approved without additional data requests, AI deployment timeline accelerated 40%
Click any card to see challenge & solution details
Every Feature. Live Demo.
Click any feature below to see an interactive demo of exactly how it works in production.
Disparate impact detected: 17pp gender gap, 28pp age gap — model requires remediation
Continuously monitors AI model outputs for disparate impact across protected classes — gender, age, race, geography — and flags violations before they become legal exposure.
Technology Stack
Built With 60+ Industry-Leading Technologies
From LLM orchestration and AI automation to mobile apps and cloud infrastructure — we use the right tool for every job.
AI & Large Language Model Technologies
Technologies used by ConsultingWhiz for AI development and automation:
- OpenAI (GPT-4, ChatGPT API)
- LangChain (LLM Orchestration)
- Anthropic Claude (Claude API)
- Google Gemini (Gemini Pro API)
- Hugging Face (Open-source LLMs)
- LlamaIndex (RAG & Vector Search)
- Pinecone (Vector Database)
- Weaviate (Vector DB)
- Ollama (Local LLM Deployment)
- Groq (Fast Inference)
- Mistral AI (Open LLM)
- ElevenLabs (AI Voice & TTS)
- n8n (Workflow Automation)
- Make (No-code Automation)
- Zapier (App Integration)
- Airflow (Pipeline Orchestration)
- Temporal (Workflow Engine)
- Celery (Task Queue)
- RabbitMQ (Message Broker)
- Kafka (Event Streaming)
- Twilio (Voice & SMS API)
- Retool (Internal Tools)
- Airtable (Database Automation)
- Slack API (Team Notifications)
- TensorFlow (Deep Learning)
- PyTorch (Neural Networks)
- scikit-learn (ML Algorithms)
- Pandas (Data Analysis)
- Spark (Big Data Processing)
- Databricks (Data Lakehouse)
- Snowflake (Cloud Data Warehouse)
- dbt (Data Transformation)
- Tableau (Data Visualization)
- Power BI (Business Intelligence)
- Jupyter (Data Notebooks)
- NumPy (Numerical Computing)
- Python (AI & Backend Dev)
- Node.js (Server-side JS)
- FastAPI (Python REST API)
- Java (Enterprise Backend)
- .NET (Microsoft Stack)
- GraphQL (API Query Language)
- PostgreSQL (Relational Database)
- MongoDB (NoSQL Database)
- Redis (In-memory Cache)
- Supabase (Open-source Firebase)
- Prisma (ORM)
- Stripe (Payments API)
- React (UI Library)
- Next.js (React Framework)
- Vue.js (Progressive Framework)
- Angular (Enterprise SPA)
- TypeScript (Typed JavaScript)
- Tailwind CSS (Utility CSS)
- Vite (Build Tool)
- Framer Motion (Animation Library)
- Three.js (3D Web Graphics)
- shadcn/ui (Component Library)
- Storybook (UI Development)
- Webpack (Module Bundler)
- React Native (Cross-platform Apps)
- Flutter (Dart Mobile Apps)
- Swift (iOS Development)
- Kotlin (Android Development)
- Expo (React Native Toolchain)
- Firebase (Mobile Backend)
- Capacitor (Hybrid Apps)
- Xcode (iOS IDE)
- Android Studio (Android IDE)
- App Store (iOS Distribution)
- Google Play (Android Distribution)
- TestFlight (iOS Beta Testing)
- AWS (Amazon Web Services)
- Azure (Microsoft Cloud)
- Google Cloud (GCP)
- Docker (Containerization)
- Kubernetes (Container Orchestration)
- Terraform (Infrastructure as Code)
- GitHub Actions (CI/CD Pipeline)
- Vercel (Edge Deployment)
- Cloudflare (CDN & Security)
- Nginx (Web Server)
- Datadog (Monitoring)
- Grafana (Observability)
Don't see your preferred stack? We work with any technology that fits your project. Let's talk.
Frequently Asked Questions
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