With 10+ years of experience in enterprise AI delivery, we offer customized AI governance services that ensure accountability, compliance, and trust across every stage of your AI lifecycle.
Our Core Capabilities
AI-Powered Solutions Delivered with Governance Frameworks in Place
Data Scientists and AI Engineers Driving Responsible AI Practices
Custom AI Models Trained, Deployed, and Audited for Compliance
Global Enterprises Guided Through AI Risk and Policy Alignment
We work with your team to create a clear structure for how AI is used, approved, and tracked across the organization.
Decide who owns what across your AI systems.
Add checkpoints and reviews into existing team processes.
Our team can help you write and update internal policies that explain how AI tools should be used across teams and tools.
Create clear rules that match how your teams work.
Make sure the rules are followed across departments.
We look at where risks may exist across your AI use and help you manage risks with practical steps.
Flag where AI is used and what could go wrong.
Add simple checks to reduce risk in daily use.
We support your teams in meeting compliances like GDPR, HIPAA, or the EU AI Act without slowing work down.
Match what you’re doing to what’s required.
Get logs, approvals, and documents ready for review.
We can help put limits around generative tools so they’re used the right way, without adding any risk to your existing workflows.
Set clear do’s and don’ts for what models can generate.
Monitor who uses them, when, and how.
Our experts will help you manage and monitor multiple AI systems across teams, tools, and vendors through one unified governance framework.
Set clear rules for how each model is used, reviewed, and maintained.
Apply consistent policies and risk checks across all AI models in use.
Partner with us to implement governance frameworks that ensure accountability, compliance, and enterprise-wide trust.
Governing Real-Time Delivery Intelligence
The client wanted to automate delivery decisions across 12 countries while maintaining control over AI-generated outputs and workforce impact.
We designed a governance layer over their AI decision-making system, including approval checkpoints, fallback logic, and multilingual output verification.
Bringing Governance to Gamified Financial AI
The client wanted to build a conversational budgeting app for millennials—but needed to ensure the financial advice was accurate, explainable, and safe.
We developed a custom chatbot with built-in AI governance protocols. It passed regulatory reviews, provided consistent financial suggestions, and maintained traceable decision logs.
Embedding Governance in Multilingual AI Assistants
A leading bank needed to deploy LLM-based customer support across regions while ensuring compliance with GDPR, PCI DSS, and internal audit protocols.
We developed a multilingual assistant with role-based access, audit trails, and real-time escalation handling. All outputs were logged and reviewable, aligning with strict internal governance policies.
Building an Accountable AI Matching Engine
The client needed a job-matching algorithm for blue-collar workers but faced risks around fairness, bias, and explainability.
We designed an LLM-based system with built-in fairness checks, model version control, and transparent scoring logic—reviewed regularly under governance protocols.
Ensuring Responsible AI Use in Patient Care
Hospitals required a contactless communication tool powered by AI, but governance around patient data, accessibility, and model behavior was critical.
We built a voice-first AI system governed by HIPAA-aligned protocols, complete data usage logs, and multilingual content validation workflows.
Scalable AI Insights with Embedded Governance
A growing SMB tool needed to process business documents using LLMs, without risking exposure of sensitive financial data.
We deployed multi-agent RAG systems under strict access control, token expiration, and output filtering rules, with real-time monitoring.
Seamless Travel Experiences Through a Unified Mobile App
Flynas, a top budget airline, wanted a mobile app that could make flight bookings easier, handle check-ins, and show live flight status updates, all while engaging customers and keeping them coming back.
We redesigned the app with a modern, intuitive UI and embedded AI-powered capabilities, such as a chatbot for effortless flight booking and customer support. The platform was engineered to deliver a seamless user experience while ensuring scalability for long-term growth.
Tell us the industry you belong to, and we’ll craft a tailored strategy that fits your unique goals.
SOC 2 (System and Organization Controls 2)
CCPA (California Consumer Privacy Act)
FedRAMP Federal Risk and Authorization Management Program
COPPA Children’s Online Privacy Protection Act
EU AI Act EU Artificial Intelligence Act
ISO/IEC 42001 AI Management System Standard
OECD AI Principles
FIPs Fair Information Principles
UK DPA Data Protection Act
PIPEDA Personal Information Protection and Electronic Documents Act
CCPA Canada Consumer Privacy Protection Act
LGPD Brazil General Data Protection Law
APPs Australian Privacy Principles
PDPA Singapore Personal Data Protection Act
BIPA Illinois Biometric Information Privacy Act
New York SHIELD Act
GLBA Gramm-Leach-Bliley Act
DORA Digital Operational Resilience Act
SOC 2 (System and Organization Controls 2)
CCPA (California Consumer Privacy Act)
FedRAMP Federal Risk and Authorization Management Program
COPPA Children’s Online Privacy Protection Act
EU AI Act EU Artificial Intelligence Act
ISO/IEC 42001 AI Management System Standard
OECD AI Principles
FIPs Fair Information Principles
UK DPA Data Protection Act
PIPEDA Personal Information Protection and Electronic Documents Act
CCPA Canada Consumer Privacy Protection Act
LGPD Brazil General Data Protection Law
APPs Australian Privacy Principles
PDPA Singapore Personal Data Protection Act
BIPA Illinois Biometric Information Privacy Act
New York SHIELD Act
GLBA Gramm-Leach-Bliley Act
DORA Digital Operational Resilience Act
Our AI governance consulting services focus on what matters most: clarity, ownership, and day-to-day control. We work with product, legal, compliance, and tech teams to put real structure in place, from approval checklists to monitoring dashboards. Everything is designed to work with your tools, your people, and your pace.
We don’t sell templates. Our customized Artificial Intelligence governance services are shaped around how each part of your business uses AI. That could mean stricter oversight for customer-facing tools or lighter guardrails for internal prototypes. Every setup is practical, enforceable, and aligned with your industry’s rules.
Our AI governance services help you spot risks before they escalate and ensure full compliance with global and regional laws like GDPR, HIPAA, SOC 2, and PDPL. From vendor audits to access controls, we flag weak points early while embedding privacy, documentation, and transparency into your workflows from day one.
While others scramble to retrofit compliance, industry leaders are designing AI that’s audit-ready from day one. Our AI governance consulting services help you build systems that don’t just work, they earn trust.
Statista High Growth Companies
APAC
2025 & 2024
We help you set rules around how AI is used in your business. That means being clear about where it adds value, where it needs limits, and when human input is required.
We don’t ask teams to change how they work but bring governance into their daily tools and workflows. Reviews, approvals, and checks are built into what they already use.
Everyone involved in an AI project should know their role. We work with your teams to make sure ownership is assigned, handoffs are smooth, and there’s no confusion about who’s responsible for what.
We help you log what’s happening behind the scenes, what data was used, how a model behaved, and when a decision was made. This creates transparency and helps if questions come up later.
Get a tailored estimate based on your compliance needs, risk profile, and enterprise scale.
Our team meets with yours to learn where models are running, how they were built, and what’s currently in place to review or approve their use. This helps us identify what needs attention and where gaps may exist.
Once we understand your workflows, we lay out what governance should look like. That includes who’s responsible for what, how approvals work, and what gets logged or reviewed across teams.
We work with you to define what’s acceptable, what needs escalation, and where human review is required. These guidelines are simple, clear, and built around your internal goals and compliance needs.
Whether your teams work in JIRA, Git, Confluence, or custom pipelines, we build governance into those systems. Nothing extra to maintain—just the right checks in the right places.
Before rollout, we walk through each part of the setup to make sure it’s working. That includes approvals, logging, access control, and any required documentation. If something’s missing, we fix it.
We stay involved during rollout to guide teams through the new process. That includes training, change management, and answering questions that come up in real use.
After launch, our AI governance consulting company continues to review how governance is holding up. We track changes in your tools or teams and adjust the setup as needed.
The overall cost depends on what you need. Smaller teams working on early-stage AI usually spend around $50K. Larger organizations with multiple systems, legal reviews, and compliance checks often go above $250K. If your business handles sensitive data or operates in a regulated space, that adds to the scope.
We offer customized AI governance services based on your setup. Once we know what tools you're using and what rules you need to follow, we can give you a proper estimate. Get in touch now!
That depends on how much is already running. If it’s a focused setup and we just need one or two models, then it might take 6 to 8 weeks. If you need policies, risk controls, team alignment, and regulatory support, it can take a few months.
We’ve helped companies roll out enterprise Artificial Intelligence governance services in under 12 weeks. Others take longer depending on internal reviews and how ready the teams are.
An AI governance audit covers how your organization manages its AI systems from end to end. We review where and how AI is used, what internal policies are in place, and how roles, approvals, and risks are handled. The process includes checking documentation, access controls, model oversight, and compliance with relevant standards. Our AI governance consulting services help identify weak spots and bring your program in line with your industry’s expectations.
Every country's making this up as they go, so rules are all over the place.
Europe's the strictest. The EU AI Act means if you're doing anything they consider "high-risk" - which covers more than you'd expect - you need extensive documentation. Training data sources, model testing results, ongoing monitoring reports. It's paperwork-heavy.
In the US, the approach depends more on sector-specific rules such as HIPAA or financial compliance. Each industry gets different rules layered on top of existing regulations.
Asia and Middle East countries often care most about data staying local. Your AI models better be trained and running on servers within their borders, or you might not be allowed to operate there.
We help companies navigate this mess through our AI Governance and Advisory Services. What matters for you depends on where you sell, what industry you're in, and how your AI systems actually work.
There's no single "AI governance certified" badge you can get. ISO/IEC 42001 is the closest thing to an AI-specific standard, but it's new and not everyone recognizes it yet. Some companies pursue it anyway to show they're serious about AI governance.
SOC 2 audits cover security and operational controls that apply to AI systems, especially if you handle customer data. More established than the ISO standard.
NIST has their AI Risk Management Framework, but that's guidance, not certification. It is still useful for structuring your program.
If you're regulated, those industry-specific requirements trump everything else. GDPR for European data privacy, HIPAA for healthcare, financial services regulations - these serve real value.
Our AI regulatory compliance services help you figure out which standards actually matter for your business versus which ones just look good on marketing materials.
Yeah, AI governance doesn’t need to be complex or expensive to be effective.
For smaller companies, we build lighter frameworks. Simple policies written in plain English. Clear roles so people know who makes decisions. Review processes that don't require three committees and six weeks of approvals.
Our AI Governance program development services scale based on your actual situation. Maybe you need a basic AI usage policy and monthly check-ins, not a 100-page governance manual and dedicated compliance officer.
Good governance should make your AI use safer and more effective, without killing your ability to move fast and try new things.
AI ethics is about values. It focuses on fairness, transparency, and doing the right thing when using AI. On the other hand, AI governance is how those values are put into action. It includes the rules, processes, and reviews that help teams build and use AI responsibly. We help connect both by turning your ethical goals into clear steps your teams can follow.
Being a renowned AI regulation compliance services provider, we help organizations turn ethical intent into practical frameworks that guide real-world AI use.
[Also Read: How Explainable AI can Unlock Accountable and Ethical Development of Artificial Intelligence]
Strong AI governance and risk consulting services help enterprises stay in control of how AI is used across teams. By aligning governance with risk management, organizations can prevent misuse, reduce exposure to compliance failures, and ensure AI systems follow ethical and responsible standards. This approach supports long-term trust, internal accountability, and smoother regulatory reviews.
Being a leading AI policy and governance consulting services provider, we help enterprises build risk-aware frameworks that turn ethical principles into structured controls across every stage of AI use.
