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Read moreAI Governance
AI governance & compliance consulting services for enterprises
DEV IT is a Microsoft-certified AI governance & compliance consulting services provider, building AI that is auditable, board-defensible, and DPDP Act-compliant from the first line of architecture, ensuring secure, regulated, and industry-ready AI deployments.
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AI Governance
Our AI governance & compliance consulting services
From the AI Readiness Assessment that starts every engagement through to ongoing compliance monitoring and board reporting - DEV IT's AI governance consulting and AI compliance consulting services provide a complete governance framework that keeps your AI trustworthy, transparent, and audit-ready at every stage.
AI readiness assessment
Know your AI maturity before any development begins.
AI readiness assessment from DEV IT will help determine how ready your company is to deploy AI technology in relation to various categories such as technology, data, business, and governance.
Offerings:
- Evaluate organizational AI maturity
- Identify compliance and governance gaps
- Assess data infrastructure readiness
- Prioritize AI use cases
- Recommend actionable deployment roadmap
Regulatory compliance architecture
Embed DPDP, GDPR, HIPAA, and SOC2 compliance in AI.
AI systems designed by us incorporate regulatory compliance from the beginning to ensure that data processing, management, and operations comply with laws and audit regulations in India and internationally.
Offerings:
- DPDP Act compliance implementation
- GDPR-aligned AI data architecture
- HIPAA PHI handling controls
- SOC2 Type II enforcement
- Audit-ready documentation maintained
Ongoing AI governance & managed compliance
Continuous monitoring ensures secure, compliant, and reliable AI.
DEV IT continues to ensure AI governance after deployment through SOC-enabled continuous monitoring, quarterly reviews, regulatory changes, re-training, and advisory assistance to ensure that AI remains trusted despite evolving regulations.
Offerings:
- Continuous model performance monitoring
- SOC-backed AI security alerts
- Quarterly governance reviews
- Regulatory compliance updates
- AI retraining and advisory support
Data governance & consent management
Ensure proper data handling and fiduciary accountability in AI.
DEV IT implements robust data governance, including classification, consent management, and accountability frameworks, so enterprise AI systems remain auditable, compliant, and secure.
Offerings:
- Data classification workflows
- Consent management architecture
- Fiduciary accountability framework
- Data localization design
- Data processing audit trails
Responsible AI & explainability framework
Build transparent, auditable, and defensible AI systems.
We integrate fairness, bias testing, model explainability, and human-in-the-loop approvals to ensure AI systems can be explained and defended to regulators, boards, and stakeholders.
Offerings:
- Bias and fairness testing
- Model explainability dashboards
- Human-in-loop approval workflows
- Sales copilot summaries and recommendations
- Governance reporting framework
Service Benefits
Real business benefits of AI governance
Regulatory compliance
Ensures AI systems meet DPDP, GDPR, HIPAA, SOC2 requirements.
Risk mitigation
Reduces operational, legal, and reputational risks from AI misuse.
Auditability & transparency
Makes AI decisions explainable and defendable to regulators and boards.
Data security & privacy
Protects sensitive information with robust data handling and access controls.
Operational efficiency
Standardized governance processes accelerate AI deployment and reduce errors.
Stakeholder trust
Builds confidence with customers, partners, and employees in AI reliability.
Our Approach
Our approach to AI governance & compliance
At DEV IT, AI governance isn’t an afterthought - it’s built in from day one. We help enterprises adopt AI safely, securely, and in full regulatory compliance, while unlocking measurable business value.
Business-first governance alignment
We align AI initiatives with your strategic objectives, ensuring every model, workflow, and automation supports business goals while meeting regulatory, audit, and risk requirements.
Regulation-driven, vendor-neutral advice
We don’t push specific tools. From Microsoft 365 copilot and Dynamics 365 to open-source AI, we select technologies that satisfy your compliance, security, and operational needs.
Compliance by design
DPDP Act, GDPR, HIPAA, and SOC2 aren’t retrofitted—they’re embedded into AI architectures from the first sprint, ensuring auditable, defendable, and board-ready AI systems.
Actionable, risk-aware roadmaps
We deliver step-by-step plans for AI deployment, including governance checkpoints, risk mitigation, and clear KPIs, so your AI initiatives are measurable, safe, and business-aligned.
Collaboration & knowledge transfer
Our experts work closely with your teams, co-developing policies, playbooks, and monitoring frameworks so your organization can sustain compliant AI operations independently.
Continuous oversight & optimization
AI governance is ongoing. We provide monitoring, retraining, compliance reviews, and advisory support to maintain trusted, secure, and high-performing AI systems as regulations evolve.
Case Studies
We have stories to inspire you
Explore our portfolio of successful cloud transitions, where we've empowered businesses to thrive in the cloud. Our case studies reflect our Azure and AWS services expertise, showcasing how we've guided companies through their cloud journeys.
AI-Powered business intelligence solution for healthcare supply chain management
A hybrid-cloud business intelligence platform was developed using Microsoft Fabric and Amazon Web Services (AWS) to unify global supply chain operations for a healthcare provider.…
Cloud ServicesHealthcare pharma & life sciences
Accelerating Legal Research Through a Custom .NET Solution
A tailored .NET-based platform that enables users to find relevant legal information quickly, compare case data across 7,000+ pages, and cross-check jurisdiction-specific details with ease.
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Comprehensive IaaS infrastructure modernization: Enabling secure, scalable, and unified operations
A robust, end-to-end Infrastructure as a Service (IaaS) model that strengthened system reliability, enhanced security posture, and optimized operational performance. Through proactive management and automation,…
Cloud ServicesConstruction & infrastructure Healthcare Pharma & Life Sciences Legal Audit & Compliance Real estate
Nutrition management software designed to empower dietitians and nutritionists
A bespoke web and mobile platform that revolutionizes how dietitians and nutritionists create, manage, and deliver personalized dietary plans. Through automation and intuitive design, the…
Cloud ServicesHealthcare Pharma & Life Sciences
Technologies We Work On
Certified expertise across Azure and AWS
Our team brings proven know-how across Azure, AWS, and leading DevOps tools. We don’t just move your business to the cloud;
we ensure it’s ready to perform.
Azure OpenAI
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OpenAI (GPT)
LangChain
RAG
Microsoft Copilot
Copilot Studio
Azure AI Services
Azure Machine Learning
Power Automate
Azure Logic Apps
API Integrations
Vector Databases
Data Pipelines
Microsoft Purview
Entra ID
Microsoft Sentinel
Python
API Engineering
LLM Integrations
Our Blogs
Latest insights
Explore our blogs for insights, in-depth tech analyses, and innovative strategies that emerge from the learnings of our projects.
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Read moreHave questions?
Find the right solution for you now
AI governance is the framework of policies, processes, and controls used to ensure AI systems are ethical, secure, and compliant. It helps businesses reduce risks, prevent bias, protect data privacy, and meet regulatory requirements while building trust with customers and stakeholders.
AI governance must align with global and regional regulations such as GDPR, HIPAA, SOC 2, ISO 27001, and India’s DPDP Act. These frameworks ensure proper data handling, security, privacy, and accountability in AI systems.
AI readiness is evaluated through a structured assessment covering data maturity, infrastructure, governance policies, risk management, and compliance alignment. This results in a score that helps businesses understand gaps and prioritize AI adoption strategies.
AI governance ensures that data used in AI systems is secure, properly managed, and compliant with regulations. It includes implementing access controls, audit trails, data classification, and monitoring tools to prevent misuse and breaches.
A responsible AI framework includes fairness, transparency, explainability, accountability, and risk management. These components ensure AI systems operate ethically, minimize bias, and provide clear decision-making insights.
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