+91 9257086308 sales@dqotsolutions.com
Dqot Solutions
+91 9257086308 sales@dqotsolutions.com
🛡️ AI Governance · Responsible AI

AI Governance Consulting for Safe, Fair and Compliant Use of AI

We help you put rules and checks around the AI your organization uses. That covers risk assessments, bias audits, regulatory compliance and day-to-day practices that protect your business, your users and your reputation.

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8+
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AI Governance Consulting

AI Governance Consulting

by DQOT Solutions — Trusted by 75+ Global Clients

EU AI ActNIST AI RMFISO/IEC 42001Bias AuditsAI EthicsSOC 2 AI
India
USA
UK
UAE
Trusted by 75+ businesses across India India USA USA UK UK UAE UAE Canada Canada Australia Australia Rated 4.9/5 on Clutch
What Is AI Governance?

Rules for AI Are Now Something Every Business Needs

AI governance is the set of policies, processes and technical controls that keep AI systems safe, fair, transparent, accountable and within the law. AI now plays a part in serious decisions such as credit scoring, medical diagnosis and hiring, so boards and regulators have started to ask how those systems are controlled.

The EU AI Act, the NIST AI Risk Management Framework and ISO/IEC 42001 are setting what is expected of companies around the world. DQOT Solutions helps you meet those expectations with governance your teams can actually follow, not policy documents that nobody reads.

What We Deliver

Our AI Governance Services

We can help with one part of AI governance or build the whole program with you.

📋

AI Risk Assessment

We go through your AI systems and identify the risks in each one, including bias, privacy, security, reliability and accountability. We classify them using the NIST AI RMF and the EU AI Act's risk levels.

⚖️

Bias & Fairness Audits

We test your models for unequal outcomes across groups such as gender, race, age and disability. You get the findings, what they mean for the people affected and how to fix the problems.

📜

EU AI Act Compliance

We assess your AI systems against the EU AI Act. That means classifying their risk level, checking for prohibited practices, documenting conformity and setting up ongoing monitoring.

🏗️

AI Governance Framework Design

A complete framework covers an inventory of your AI systems, how model risk is managed, where people must review AI decisions and what happens when something goes wrong.

🔍

AI Explainability & Transparency

We add explainability methods such as SHAP and LIME, so your organization can understand an AI decision, explain it and challenge it when needed.

🎓

AI Ethics Training

Training for executives, engineers, data scientists and compliance teams, each matched to the role. People learn what responsible AI use means in their own work.

Our Process

How Our AI Governance Work Runs

We follow six steps, from listing the AI systems you use to training your teams to run the framework themselves.

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1

AI System Inventory & Classification

We list every AI system in use across your organization and classify each by risk level under the EU AI Act: minimal, limited, high or unacceptable. This shows where the gaps are.

2

Risk Assessment & Impact Analysis

For high-risk systems we assess bias, privacy, security, reliability and accountability in detail, and estimate how serious the impact of each risk would be.

3

Governance Framework Design

We write the policies and procedures, and define who is responsible for what, who can decide and how issues are escalated. All of it is shaped around how your organization is structured.

4

Technical Control Implementation

We work with your engineers to put the technical controls in place: audit logs, explainability tools, bias monitoring, data lineage tracking and model cards.

5

Compliance Documentation

We prepare the documents regulators ask for, including the risk management system, conformity assessments, technical documentation and post-market monitoring plans.

6

Training & Handover

We train your teams on the framework, help set up a governance committee and start the regular monitoring. Compliance reviews then take place every quarter.

Industries & Use Cases

Who Is AI Governance Consulting For?

Use Case 1

Financial Services

Governance for credit scoring models, fraud detection and algorithmic trading, planned around Basel IV, SR 11-7 and the EU AI Act's requirements for the financial sector.

Use Case 2

Healthcare AI

Governance for clinical decision support tools, diagnostic AI and patient risk models, planned around FDA AI/ML guidance, HIPAA and GDPR requirements.

Use Case 3

HR & Recruitment AI

Bias audits and governance for AI that screens resumes, ranks candidates or evaluates performance. The EU AI Act treats these as high-risk uses.

Use Case 4

Law Enforcement & Government

Responsible AI frameworks for predictive policing, welfare eligibility and public safety systems, where accountability and civil rights are at stake.

Use Case 5

Insurance AI

Governance for the AI behind pricing models, fraud detection and claims processing, covering fairness, explainability and regulatory compliance.

Use Case 6

Consumer-Facing AI Products

Governance for recommendation systems, content moderation, personalization and consumer chatbots, to protect users' rights and your reputation.

Technology Stack

Tools & Technologies We Use

✓ NIST AI RMF✓ ISO/IEC 42001✓ EU AI Act Framework✓ IBM AI Fairness 360✓ Microsoft Fairlearn✓ Google What-If Tool✓ SHAP✓ LIME✓ Evidently AI✓ MLflow✓ Great Expectations✓ Weights & Biases
Why DQOT Solutions

Why Businesses Choose Us for AI Governance Consulting

🏆

8+ Years in Business

We started in Jaipur in 2018 and have since worked with 75+ clients in 7 countries, across software and digital marketing.

⚡

Short Cycles, Early Feedback

We work in short cycles and share each stage with you, so you can ask for changes while they are still easy to make.

🔍

Updates You Can Follow

You get regular progress updates and can see the work as it takes shape, so you always know what we are doing and why.

🌍

Offices in India and Canada

Our head office is in Jaipur, with offices in New Delhi and Canada. We work with clients in 7 countries, including India, the USA, the UK and the UAE.

🤖

AI Tools Where They Help

We use AI tools in our own work, so our advice comes from practical use as well as from study.

🤝

A Long-Term View

We take the time to understand how your business works, and we aim to keep working with you after the first project is delivered.

FAQs

Frequently Asked Questions

Answers to the questions we hear most often about AI governance. Can't find yours?

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It depends on where you operate and how you use AI. The EU AI Act is now in force and applies to organizations that sell or use AI systems in the EU, with fines for non-compliance of up to €35M or 7% of global turnover. Outside the EU, most regulated industries, such as finance, healthcare and insurance, face AI-specific expectations from their regulators. We can assess which rules apply to your situation.
AI ethics defines the principles: fairness, transparency, accountability and privacy. AI governance puts those principles into practice through policies, processes, technical controls and clear accountability. Good governance makes ethics something you can check and audit.
We test the model's outputs across protected demographic groups, such as gender, race, age and religion, using several fairness metrics (demographic parity, equalized odds, individual fairness). We identify where one group is treated worse, find the cause, estimate the business and legal risk and recommend specific technical fixes.
A focused framework for one AI use case or one regulation takes 4–8 weeks. An enterprise-wide framework covering several systems and regulations takes 3–6 months. We phase the work so the basics, such as core policies and the AI inventory, are in place early.
Yes. We offer ongoing AI governance as a service: quarterly model audits, bias monitoring, tracking of regulatory changes, support for your governance committee and help when an incident occurs. We act as a long-term governance partner, not a one-time consultant.
Yes. We help you build the full documentation package the EU AI Act requires: technical documentation, risk management system documentation, data governance documentation, conformity assessments and human oversight procedures. It is prepared ready to submit to notified bodies and regulators.

Ready to Put AI Governance in Place?

Tell us which AI systems you use and which rules you are worried about. We reply within one working day, and both the consultation and the quote are free.

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