AI Governance

Our AI governance service helps you ensure your artificial intelligence (AI) systems are ethical, transparent, compliant with legal and regulatory standards, prevent bias, protect privacy, and appropriately manage risks to build trust and accountability.

AI Governance

Our AI governance service helps you ensure your artificial intelligence (AI) systems are ethical, transparent, compliant with legal and regulatory standards, prevent bias, protect privacy, and appropriately manage risks to build trust and accountability.
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COMPanies who trust The Virtual Forge

Delivering Trust in AI

AI Governance is a comprehensive framework of policies, principles, and practices designed to oversee and manage the development, deployment, and use of AI systems to create an environment of trust.

We aim to ensure that AI is used in an ethical, transparent, and compliant manner, according to your business needs and use case.

AI governance is about building trust, based on transparency and ethical use - it’s not about the technology itself, but rather how we use it that determines its impact.

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Building Your AI Governance Framework

Developing an AI governance framework can seem daunting, so our approach is designed to identify the use case, applicable regulations and evaluate existing structures to establish a baseline understanding of gaps in governance.

From this, we iteratively build out a tailored governance strategy that aligns with your goals and regulatory requirements, while fostering stakeholder engagement.

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Assessment and Strategy Development

To start with, we evaluate your existing AI systems and governance practices to identify gaps and areas for improvement. From this we step-by-step develop a tailored AI governance strategy that aligns with your goals, industry standards, and regulatory requirements.

Stakeholder Engagement

It is critical to determine who the stakeholders should be, such as AI governance officers, privacy and security experts, a legal team and also system users, where applicable. Involving stakeholders early in the process is vital to create engagement and a sense of ownership and trust. Ask stakeholders to assess whether the use of AI is suitable for the intended use case, and to understand which requirements to prioritise - perhaps accuracy is more important than privacy. Create regular stakeholder meetings to continuously evaluate success towards the stated goal, as well identifying issues and verifying compliance.

Risk Management and Mitigation

Identifying and classifying potential risks, both internal and external, associated with your AI systems will include ethical, legal, and operational risks. With this knowledge, we will develop strategies to address and manage those risks, including creating contingency plans and response protocols. In parallel, we will establish who is ultimately responsible for risks and mitigations.

Policy and Framework Creation

Next, we design and implement policies and procedures for managing AI systems, including ethical use, transparency, data protection, and risk management. All the while, taking into account the risk tolerance and organisational priorities.

Training and Capacity Building

Equipping internal teams with the knowledge and skills needed to maintain and evolve AI governance practices ensures continued stakeholder engagement and compliance, and provides scope for further internal training to expand the number of stakeholders.

Monitoring and Auditing

Finally, we implement systems for continuous monitoring of AI systems to ensure ongoing compliance and performance. In parallel, we establish schedules for regular audits of the AI systems and governance practices to ensure adherence to policies and continuously identify areas for improvement.

Create Responsible, Ethical, and Trustworthy AI Solutions

By leveraging our team’s knowledge, organisations can better navigate the complexities of AI governance, ensuring that their AI systems are used responsibly and in alignment with their strategic objectives and regulatory obligations.

Ensure Fairness

Promote equitable outcomes and prevent discriminatory practices in AI systems.

Build Trust:

Enhance stakeholder confidence in AI technologies through transparency and accountability.

Manage Risks

Identify and mitigate potential risks associated with AI systems to protect your users and organisation.

Achieve Compliance

Meet legal and regulatory requirements to avoid legal issues and penalties.

Promote Ethical Use

Ensure that AI technologies are used in ways that align with ethical standards and societal values.

Embrace the future and start your AI journey with us today.

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Why The Virtual Forge?

The Virtual Forge is a trusted, global software development company with a solid history of delivering comprehensive solutions for global brands, equipping diverse organisations with the finest technology available.

A team of creative and analytical minds leverages cutting-edge technologies and out-of-the-box thinking to deliver innovative software solutions. We’re always on the lookout for new technologies that can leverage our offer, helping our clients materialize their needs into new systems that streamline their business processes.

Innovation

Quality is our core focus. Our team ensures high standards through rigorous quality assurance processes, thorough testing, code reviews, and continuous improvement.

Quality

Our track record is a testament to our reliability. Always by our client’s side, ensuring that nothing is left to chance. With our commitment to excellence, we pride ourselves on delivering dependable solutions that businesses can trust. 

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Roadmap to AI Governance

From setting ethical guidelines to ensuring accountability, our roadmap explores the process of defining and establishing the foundational pillars of governance that aim to balance innovation with safe, transparent and ethical use of AI.

1

Initial Assessment

The first stage in creating an AI governance framework involves identifying and engaging stakeholders who have an interest or concerns regarding the use of AI. Then we will conduct an analysis of existing AI policies and governance in order to assess the current and future usage of AI and potential risks.

2

Define Objectives and Scope

In this phase, we will establish clear goals for the governance framework, identify organisational priorities and principles such as transparency, fairness, accountability, and then define a governance structure.

3

Develop Policies and Standards

With the goals in mind, we can then review best practice, legal and regulatory requirements for this context and scope, and develop initial drafts of governance policies and guidelines.

4

Stakeholder Engagement

Next, we will present the draft framework to stakeholders for feedback, and then conduct workshops to gather diverse feedback. Based on this input, we can then revise and refine the framework.

5

Implementation

Once the feedback has been incorporated, the governance framework can be finalised and roll out can commence, coupled with training for employees on the new or revised policies and best practices. The final implementation stage is establishing monitoring and a review process to assess compliance and effectiveness of the framework.

6

Review & Improve

With regular reviews of the framework, keeping tabs on regulatory changes and a process to gather feedback from stakeholders, we can ensure continuous improvement and refinement of the framework.

Tools & Technologies

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Case studies

Customers of varying scales and industries consistently rely on The Virtual Forge’s data-driven custom software solutions to expand their businesses. Find out more about how this works in practice, and have a look at some of our case studies, covering a diverse range of projects. We are proud of our work, and you can now see why.

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Stellantis

MyContentScout Implementation

Stellantis faced the challenge of efficiently finding and getting answers and insights from their vast amounts of digital content. They reached out to The Virtual Forge to implement MyContentScout, a pioneering AI solution that enables organisations to improve the way they find answers and insights from their content easier, faster, and with more accuracy than ever before, precisely when they need it.

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What Our Clients Say About Us

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The Virtual Forge's work has lowered our system downtime and fastened the turnover of tickets on the help desk. The team has executed updates correctly and maintains communication via emails and messages. The Virtual Forge's Co-CEO participation in the project has been crucial.

Tom Blades

Head of Systems Integration

The Virtual Forge successfully delivered a working prototype of the dashboard, meeting our expectations. The team responded quickly to requests and modifications, and they were hands-on, knowledgeable, and receptive throughout the project.

Geir Arne Evjen

CTO

Their collaborative approach fostered a sense of partnership and trust, where our voices were heard and our vision was respected.

Rosanna Turk

Co-Founder

Working with The Virtual Forge was a pleasure. The relationships that we build, quite quickly, led to a really lovely experience. The whole team was highly efficient, creative and tactical.

Toby Lewis

Senior Manager, Collaboration Strategy

Working with The Virtual Forge made everyone enjoy being part of the project. It never felt like two separate teams, but just one big team. Everything felt natural, easy, even when there were challenges.

Heather Read

Learning Centre Team Leader and Systems Specialist

The Virtual Forge Partners

The Virtual Forge collaborates with several strategic partners to guarantee the delivery of cutting-edge services that meet and exceed clients' expectations. We are trusted by some of the most recognised technological brands in the world.

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Have a project in mind? No need to be shy, drop us a note and tell us how we can help realise your vision.

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