Responsible AI Governance Consulting & Solutions

Make responsible AI pervasive and systematic in the enterprise

Why responsible AI matters

>80%

of organizations say they’ll commit 10% or more of their total AI budget to meeting regulatory requirements by 2024

95%

of leaders believe that at least part of their business will be affected by the proposed EU regulations specifically

of companies say they have fully implemented responsible AI across their organization, but 31% expect to do so in the next 18 months

Implement responsible AI enterprisewide

Design, deploy and use AI responsibly to create value and build trust.

Responsible AI in HR

When done correctly, AI systems can allow organizations to make more ethical, effective and efficient talent decisions by eliminating potential sources of bias. Explore more in our interactive report.

Are you ready for regulated AI?

The EU AI Act will be the most comprehensive AI legislation in the world to date, and it will have critical implications for all multinational organizations. Any that develop or deploy AI systems within the EU will need to comply.

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Adopt responsible AI principles that include clear accountability and governance for its responsible design, deployment and usage.

Understand the risks of your organization’s AI use cases, applications and systems, using qualitative and quantitative assessments.

Perform ongoing testing of AI for human impact, fairness, explainability, transparency, accuracy and safety. Use top responsible AI tools and technologies to mitigate any problems.

Consistently monitor AI systems and oversee responsible AI initiatives while executing mitigation and compliance actions.

A responsible AI compliance program will need to engage cross functionally to address workforce impact and compliance with laws, sustainability, privacy and security programs across your enterprise.

What you’ll achieve

Reduced risk through compliance

A proactive strategy to use AI responsibly from the start will help organizations better prepare to manage risk and comply with emerging regulations.

Trust and value

AI systems that are compliant and regulation-ready will help attract new customers, retain existing ones and build brand and investor confidence.

Retained talent

Demonstrating a commitment to ethical practices will help attract and retain top talent who are motivated by a sense of purpose and shared values.

What’s trending in responsible AI

Case Study

Accenture’s blueprint for Responsible AI

A responsible AI program will help your organization navigate the complexities, risks and opportunities of this increasingly vital technology.

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Research Report

Reinvention in the age of generative AI

Five imperatives the C-suite must address to reinvent in the age of generative AI.

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Research Report

The Art of AI Maturity

AI maturity comes down to mastering a set of key capabilities in the right combinations—not only in data and AI, but also in organizational strategy, talent and culture.

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Case Study

Creating groundbreaking guidelines for responsible AI

More companies are using AI to provide exceptional customer service. But what about the risks? Monetary Authority of Singapore set out to provide groundbreaking guidelines for Responsible AI.

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Research Report

Cloud data: A new dawn for dormant data

Data on the Cloud Continuum has taken on a new life, growing in importance and attention.

<p>Data on the Cloud Continuum has taken on a new life, growing in importance and attention.</p>

Blog

7 architecture considerations for generative AI

Every business has an opportunity to create differentiating solutions with generative AI and LLMs. Here’s how to make sure your enterprise architecture is ready to scale Gen AI securely, responsibly and cost-effectively.

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