accenture servicenow case study

July 26, 2023

ServiceNow, NVIDIA, and Accenture Team to Accelerate Generative AI Adoption for Enterprises

First-of-its-kind AI Lighthouse program helps customers create generative AI-based initiatives to transform their business operations

SANTA CLARA, Calif.; July 26, 2023 – ServiceNow (NYSE: NOW), NVIDIA (NASDAQ: NVDA), and Accenture (NYSE: ACN) today announced the launch of AI Lighthouse, a first-of-its-kind program designed to fast-track the development and adoption of enterprise generative AI capabilities.

Expanding on existing strategic partnerships among ServiceNow, NVIDIA and Accenture, AI Lighthouse will assist pioneering customers across industries in the design, development, and implementation of new generative AI use cases.

AI Lighthouse unites the ServiceNow enterprise automation platform and engine, NVIDIA AI supercomputing and software, and Accenture AI transformation services. The comprehensive offering will let customers collaborate as design partners in architecting custom generative AI large language models (LLMs) and applications to advance their businesses. “This is a transformational moment for business to revolutionize how work gets done,” said ServiceNow Chairman and CEO Bill McDermott. “In collaboration with our visionary partners, ServiceNow, NVIDIA, and Accenture are forming the market-leading blueprint for AI-first enterprise innovation. We expect the AI Lighthouse customer program to inspire breakthrough ideas with massive ROI: ‘return on intelligence.’” “Industries are racing to add generative AI tools to their operations at a faster pace than in any previous technology shift,” said Jensen Huang, founder and CEO, NVIDIA. “NVIDIA, ServiceNow and Accenture are partnering to help customers lead their industries by deploying generative AI tools that harness their own invaluable knowledge to transform the applications they use every day.” “Generative AI holds enormous potential for enterprises—it can help them reinvent how they work, strengthen their services, differentiate themselves and reach new levels of performance,” said Julie Sweet, chair and CEO, Accenture. “Our expanded partnership with ServiceNow and NVIDIA will apply our combined experience, expertise and insights to helping our clients create powerful, relevant and responsible generative AI use cases and more quickly realize the value of this transformative technology.” The power of AI Lighthouse program will come to life for enterprise customers by:

• Reducing tedious manual work for customer service professionals, with overviews and insights to help them solve problems faster.
• Deflecting cases by promoting self-service options, empowering people, and delivering engaging experiences with natural human language.
• Generating content automatically, including intelligent search results, work notes, and knowledge base articles.
• Boosting developer productivity with intelligent recommendations for code.

Since May, ServiceNow has launched a slate of powerful generative AI capabilities, purpose-built for the Now Platform, and engaged with large pharmaceutical, financial servcies, manufacturing, and health care companies to test them in enterprise environments. The AI Lighthouse program will build on that early progress to collaborate on designing, developing, and implementing new generative AI use cases with a select group of customers across IT service management (ITSM), customer service management (CSM), and employee experience. NVIDIA accelerated computing and software, including NVIDIA DGX ™ AI supercomputing and NVIDIA DGX Cloud , as well as NVIDIA NeMo ™ LLM software, will provide full-stack computing for model training and tuning; ServiceNow will be the front-end workflow automation and intelligence platform; and Accenture will leverage its deep functional and industry knowledge and generative AI strategy, design and delivery experience to bring use cases to life for customers. The ServiceNow platform automates workflows across the entire enterprise by connecting disparate departments, systems, and silos and automating processes to increase productivity and enable seamless work experiences. Now Assist is ServiceNow’s generative AI experience—purpose-built within the ServiceNow platform—designed to enable intelligent automation and accelerate productivity by simplifying repetitive tasks, increasing agility, and transforming the user experience. NVIDIA AI software and accelerated computing provide the platform for generative AI deployments across industries. Enterprises can use NeMo and NVIDIA frameworks, optimized inference engines, and APIs to add intelligence to generative AI applications such as drug discovery, intelligent chatbots, search, and summarization. Building on Accenture’s recently announced $3 billion investment in AI , this collaboration will tap into the Accenture Center for Advanced AI , with its deep focus on generative AI and large language models. Accenture will accelerate the design and engineering of domain-specific LLMs and generative AI capabilities within the ServiceNow platform to make functional and industry workflows more intelligent – from elevating agent productivity and impact with summarization of service history and recommended actions, to improving self-service quality and speed with AI-powered virtual agents. Accenture will use its infrastructure and IT service operations experience across the cloud continuum, coupled with its vast experience in helping clients across industries leverage generative AI, to accelerate value across the enterprise. For more information about the AI Lighthouse program as well as additional generative AI solutions ServiceNow strategic partners are offering, visit https://www.servicenow.com/now-platform/generative-ai.html . About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent and innovation led company with 732,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients succeed and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com . Copyright © 2023 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/ . NVIDIA Forward-Looking Statements Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of NVIDIA’s products, services, and technologies; NVIDIA’s partnerships with ServiceNow and Accenture, including the benefits and impact thereof; industries racing to add generative AI tools to their operations at a faster pace than in any previous technology shift; and the benefits and impact of the AI Lighthouse program are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2023 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, and NeMo are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. About ServiceNow ServiceNow (NYSE: NOW) makes the world work better for everyone. Our cloud‑based platform and solutions help digitize and unify organizations so that they can find smarter, faster, better ways to make work flow. So employees and customers can be more connected, more innovative, and more agile. And we can all create the future we imagine. The world works with ServiceNowTM. For more information, visit: www.servicenow.com . Use of Forward‑Looking Statements This press release contains “forward‑looking statements” about the expectations, beliefs, plans, and intentions relating to new generative AI capabilities for the Now Platform. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward‑looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward‑looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow’s results could differ materially from the results expressed or implied by the forward‑looking statements made. ServiceNow undertakes no obligation, and does not intend, to update the forward‑looking statements. Factors that may cause actual results to differ materially from those in any forward‑looking statements include: (i) changes in the AI regulatory landscape; (ii) delays and unexpected difficulties and expenses in delivering the capabilities; and (iii) uncertainty as to whether sales will justify the investments in the capabilities. Further information on factors that could affect ServiceNow’s financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time. © 2023 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated. # # # Contacts: Johnna Hoff ServiceNow 1 408 250 8644 [email protected] Shannon McPhee NVIDIA Corporation 1 310 920 9642 [email protected] Hannah Unkefer Accenture 1 206 839 2172 [email protected]

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The Accenture Case Interview: A Comprehensive Guide for 2024

• Last Updated January, 2024

Former Accenture

Accenture Consulting’s Recruitment Process

Mco’s 5 tips on how to ace the accenture case interview, the accenture potentia interview.

Fit / Behavioral Interview

Case Interview: A Step-by-Step Guide

Consulting’s Recruitment Process

Does it feel like there’s so much to try to understand about tackling Accenture case interviews? Are you unsure where to even start?

Don’t worry, we’ve been there. No, seriously, we actually have been there . And we made it through to the other side, job offer in hand.

Which makes us perfectly placed to walk you through it, step-by-step, in our comprehensive guide.

In this article, we’ll discuss:

• What the Accenture recruitment process looks like,
• The Accenture Potentia interview,
• The Accenture case interview – a step-by-step guide,
• MCO’s 5 tips on acing the Accenture case interview, and
• The Accenture Consulting fit/behavioral interview.

Let’s get started!

The Accenture recruitment process is similar to that of other consulting firms. Since 2021, more and more of the process is being conducted virtually. There are 4 main elements which we’ll cover here:

• The Online Application
• The Digital Assessment
• The Phone Interview
• Assessment Day

Nail the case & fit interview with strategies from former MBB Interviewers that have helped 89.6% of our clients pass the case interview.

Accenture’s Online Application

The first stage is to submit an online application form. Make sure this is tailored to the service and location you’re interested in applying to. You can use Accenture’s job descriptions to make sure you cover the main elements recruiters are looking for.

Need more help? Read our comprehensive guide to preparing your consulting resume .

The Accenture Digital Assessment

Depending on the role, the next stage after your application’s been accepted is an online assessment. This is an opportunity for the recruiting team to test your numeracy, logic, and decision-making skills and to identify areas of natural strength.

You can find out all you need to know about the Accenture Digital Assessment in our article.

Phone Interview

The phone interview is your first chance to really connect with the recruiting team. They’ll be looking to understand your motivation for joining Accenture Consulting and how your skills match what they’re looking for.

This is your opportunity to show how enthusiastic you are about Accenture, so referencing something unique to the company that’s sparked your interest — how its values align with yours, how it supports advances in technology, or your interest in the company’s corporate social responsibility work — is a smart move.

Accenture Assessment Day

For graduate hires, the final stage is an assessment day. This may be in-person, though many offices now hold virtual assessment days.

During the assessment day, there will be both group and individual elements including leadership activities, case study discussions, and 1:1 interviews. The 1:1 interviews will include both a behavioral/fit interview and a case interview.

Experienced hires won’t have an assessment day. Instead, they’ll have either a virtual or face-to-face case and fit interview.

Worried about how to tackle a virtual case interview ? We’ve got 7 top tips to help you ace them.

Accenture is a big firm. As well as management consultancy, they also provide IT consultancy and outsourcing services for business support operations.

The management consultancy part of the business is divided into 3 parts: Accenture Strategy, Digital, and Operations. Accenture Strategy is the arm of the company that competes against top consulting firms such as Bain, BCG, and McKinsey.

If you’re applying for a role within Accenture Strategy, you’ll complete a unique interview called the Potentia interview.

How Is the Accenture Potentia Interview Different from a Regular Case Interview?

Don’t be thrown by the name. At its heart, the Potentia interview is a case interview. The main difference is that it focuses more on assessing the creative thinking of Accenture Strategy candidates.

We’ll be taking you through the nuts and bolts of a case interview below so, for now, here are a few tips to approach this unique Accenture interview.

Our Top Tips For the Potentia Interview

The Potentia interview is a 1-hour long interview about a broad business topic. You’ll be given a short piece of text providing some context to the topic and a problem statement.

Topics are diverse, such as the mining of blood diamonds in Africa or who owns the intellectual property of the internet.

You have 5 minutes to read through the information and prepare your thoughts. After that, there’s a 45-60 minute conversation with the interviewer where you present your thoughts and answer their follow-up questions. There’s no math required during the Potentia interview.

Here are our top tips:

• Use a framework to organize your thoughts . While the interviewer is assessing your creativity, how you present your thoughts should be logical and structured. Outline your core ideas and then expand on the key strengths and weaknesses of each.
• Don’t try and ‘solve’ the problem . These are complex real-life topics that don’t have an easy solution. Focus on presenting innovative ideas that could create real benefit. But, don’t forget good business sense. Evaluate your ideas for practicality, risk, and ease of implementation.
• Adapt your experience . If you have previous work experience that gives you insight into how to approach the problem, use it! Adapting something that’s worked in one context for use in another shows flexibility and a creative mindset.

The Accenture Case Interview: A Step-by-Step Guide

Let’s now look at the Accenture case interview in detail – what types of case you might face, how to approach them, and a real-life work example.

Types of Cases

There are 3 types of cases you might face during your Accenture case interviews. These are called:

• The “Great Unknown”
• The “Parade of Facts”
• The “Back of an Envelope”

Each of the types has different attributes, as shown below. Of the 3 types, the “Great Unknown” and the “Back of the Envelope” are more common than the “Parade of Facts”.

Whichever case you face, make sure you fully understand all the facts and what you are being asked to do before trying to “solve” it.

How to Approach the Case Interview

1) make sure you understand the question.

Fully understanding the question asked is the 1st step in our tried-and-tested method of approaching case interviews.

You don’t want to spend 45 minutes crafting a great answer to the wrong question. Take a moment to consider the problem statement and then repeat it back to the interviewer in your own words to make sure you’ve got it nailed down.

2) Take Time to Think Things Through

Once you understand the problem, it’s helpful to break it down into smaller parts to help you uncover the issues that might be driving it. An issue tree is a helpful tool to identify the root cause of problems.

Once you’re clear on what the problem is, take a moment to figure out what approach you’re going to take to “solve” it and what clarification questions you want to ask the interviewer. 

At this stage, you might want to think about familiar frameworks you’ve studied during your case study preparation and how they can help frame your thoughts. 

For more information on some classic business frameworks, see Case Interview Frameworks .

3) Ask Insightful Questions

At this point, you should be clear on the problem and have figured out your approach to “solving” it. Share this with the interviewer so they can follow your thought process and ask any clarification questions that you need.

Asking pertinent questions and probing for more information should then allow you to form one or more hypotheses of what could solve the problem.

Testing your hypotheses against what you know about the client and by using a relevant business framework will allow you to identify the strengths and weaknesses of each, until you finalize your preferred recommendation.

4) Summarize Your Findings

In this final stage, you’ll summarize your findings and present recommendations to the client.

Make sure you provide a clear and direct answer to the problem statement and outline any next steps you recommend the client takes. 

Highlight any risks associated with your recommendations and options for mitigating them.

The Accenture Case Interview: A Worked Example

Let’s go through an example “Great Unknown” case to see how this all fits together.

As is typical in a “Great Unknown” case, there’s not much information given so asking great questions is key to cracking this case.

Issue Tree 

After considering the problem statement, remember to reflect back to the interviewer what you understand to be the problem, in your own words.

Next, create an issue tree to break the problem down and into component parts.

Using an issue tree helps you to quickly identify several things the client needs to consider when evaluating how to distribute the vaccine including the following issues: infrastructure, staffing, procedures and training, communications and technology, funding, and procurement.

This is also the time to ask clarification questions and probe for more information where there are gaps in your current understanding of the problem.

Building A Hypothesis for How to Quickly and Efficiently Vaccinate the Philadelphia Population 

Depending on the information given, now is the time to narrow the focus and create a hypothesis.

Once you have a strong hypothesis of where the vaccine should be distributed, you still need to address the other infrastructure needs for the vaccination center as well as the other components of your framework. Go through them one-by-one.

Presenting Your Recommendation

Now you’ve considered all the facts, built, and tested your hypothesis. At this stage you should summarize your findings, noting any assumptions you’ve made. 

Conclude your presentation by offering clear recommendations to the client directly addressing the problem statement. Note any risks associated with your recommendation.

Here are our top 5 tips to help you feel confident tackling the case interview:

Tip 1: Think before you dive into the case

Depending on the type of case, there can be a lot of information to manage. Make sure you’ve got it all clear in your head before you begin to tackle the case.

Equally, don’t be thrown if there’s not a lot of information. Take a moment to think through how you’ll approach the problem from beginning to end.

Tip 2: Ask questions

Don’t be afraid to probe for more information where you’ve identified there are gaps. And do clarify anything you don’t understand, such as acronyms or terms you’re not familiar with.

Tip 3: Share your thoughts

It’s no good to listen to the problem statement, scribble frantically on some paper for 45 minutes and then present the “answer.” Interviewers want to understand your thought process, how you handle information, and what assumptions you’ve made. Share your framework for approaching the case with your interviewer and walk them through each step as you address it.

Tip 4: Pay attention to cues

Sharing your thoughts gives the interviewer an opportunity to guide the conversation. Make sure you follow any feedback they offer on your approach and listen closely for any hints about where to go next.

Be aware, however, that some partners like to stress-test final round candidates to ensure they can defend their answers. If you think you’re right, stick to your recommendation.

Tip 5: Be yourself

No one else shares your story. The case interview is an opportunity to show creative thinking and offer insights based on your individual experiences. Your unique perspective is important and helps separate you from other candidates.

For even more tips on acing case interviews, check out 7 Tips To Help You Land A Consulting Offer .

Accenture Fit / Behavioral Interview

This Accenture interview concentrates on 2 types of questions: fit questions and personal experience questions.

Top 3 Fit Questions and How To Ace Them

1) why do you want to work for accenture.

Or the fact they have both strategy and implementation functions so you can see the tangible difference your client recommendations make. Or how the great people you’ve met so far have reinforced that this is the company for you.

The best answers are personal stories. Don’t share generic reasons for joining the firm. Instead show why the reasons you present matter to you. For more on this, see our article “ Why Accenture? ”

2) Why Do You Want to Work in Consulting?

3) tell me something about you that’s not on your resume., typical personal experience questions and how to approach them.

• Tell me about a time you disagreed with someone and how you managed that.
• Tell me about a time when you led a team through a challenging situation.
• Tell me about a time when you persuaded someone to change their mind.
• Tell me about a time when you overcome something you personally found difficult.

Using the A STAR(E) Framework

The A STAR(E) framework covers the following points:

• Answer. Give a clear 1-sentence answer to the question.
• Situation. When and where did the story happen? Who was involved?
• Tension. What was the problem, conflict, or challenge you faced?
• Action. What did you do to solve the problem?
• Result. What happened as a result of the action you took?
• Effect. What effect did this have on you? What did you learn?

The (E) is in parentheses because this won’t be relevant to every story.

For a detailed guide to tackling the Fit/Behavioral Interview, see our article on Consulting Behavioral Interviews .

In this article, we’ve covered:

• What makes up the Accenture recruitment process,
• What the Accenture Potentia interview is,
• Our step-by-step approach to tackling an Accenture case interview,
• Our top tips for success in your Accenture case interviews, and
• What’s covered during the Accenture behavioral interview.

Still have questions?

If you have more questions about Accenture case interviews, leave them in the comments below. One of My Consulting Offer’s case coaches will answer them.

Other people prepping for the Accenture case interview found the following pages helpful:

• Our Ultimate Guide to Case Interview Prep ,
• How to answer the “Why Accenture?” question ,
• How to answer Market Sizing questions

Help with Consulting Interview Prep

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Essential Integrations for Delivering Managed Services

As a managed service provider, Accenture needed to deploy integrations rapidly – cloud-based integrations that employed queues and that would contribute to the scalable and repeatable solutions that Accenture promised to its customers.

Reporting: Accenture needed an integration solution to meet its reporting requirements. Accenture set up a reporting data warehouse to bring in data from both ServiceNow and other tools. Their multi-tenant environment also means that there are some tables that their customers should not access.

Many of their customers requesting real-time reporting, Accenture also sought to provide ad-hoc reports, using SQL server reporting services. “We have to be very dynamic and limber,” says Jeff Lowenthal, Enterprise Architect for Accenture.

Meeting all of these reporting requirements, Perspectium enables robust reporting for Accenture’s customers, adding columns dynamically as the incident form changes with field additions.

Client Tools: To maintain a ready connection to its customers, Accenture needed continuous access to replicate data to clients' tools, including monitoring systems, incident management systems, email, SharePoint, and a number of other tools.

Using Perspectium, Accenture replicates data dynamically so that their customer systems stay up-to-date. Accenture takes advantage of the publish-once, subscribe-many feature in the Perspectium cloud to avoid performance impacts on Accenture’s resources.

Migration: Having recently migrated from Remedy, Accenture had set up a best-practices process with their ServiceNow offering to be as competitive as possible among managed service providers. This process allowed Accenture to onboard new customers consistently and effectively.

Accenture discovered that its existing Perspectium solution could streamline and help automate the onboarding process. The speed at which Accenture could onboard new customers was a governing factor in the decisions Accenture made regarding the tools that would perform the onboarding process.

After new customers load foundation data into a provisioning tool, Accenture now uses Perspectium to move the data from staging to production. With the data fields properly mapped by the customers, Accenture can onboard a new customer in a couple of days. In short, Accenture drew even more value from its Perspectium framework than they had originally planned for.

"We briefly looked at some of the competitors out there, but quite frankly, nothing even came close to fitting as neatly into what we needed as Perspectium.”

- Jeff Lowenthal, Enterprise Architect for Accenture

The Payoff: Accenture is growing rapidly, onboarding new customers every week. Accenture eliminated the need for 11 custom integrations, is replicating 2 million records per day, and is offering real-time ServiceNow reporting of over 100 million records per month.

In the past, Accenture had a team that continually worked on managing access to data. With Perspectium, that overhead became unnecessary. Jonathan Livingstone from Accenture said it well: "Perspectium is there in the background, just keeping all this working for us”.

"As an MSP, integration is almost always involved in one of our deals. . . . We've been able to grow this [Perspectium integration solution] and scale it and not had any concerns about the overhead it takes to run this. . . . It's been something that we've really learned to come to depend on, and you guys have come through every time for us."

   - Jonathan Livingstone, Application Architect for Accenture

For more, see highlights from the webinar "Delivering ServiceNow Value at Accenture."

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Final paper.

Accenture’s blueprint for responsible AI

How we have operationalized ethical AI in our company and in our client work

5-MINUTE READ

Generative artificial intelligence is transforming how we work and live

Whether it’s mimicking human dialogue or creating original images in an instant, generative artificial intelligence (AI) is reshaping our approach to many everyday tasks.

But this powerful technology hides a hard truth—while its potential for good is limitless, so are the consequences of its misuse. For example, consider the copyrighted intellectual property shared publicly on your company’s website. Should another entity be allowed to crawl your assets to train their large language model, even if it’s for non-profit use?

As leaders navigate the risks associated with AI, the number one question they’re asking is “How do I govern AI in a responsible manner? How can I activate its value, mitigate its risks, and build trust with my customers, my employees and my shareholders?”

of executives we surveyed said generative AI will be transformative for their company and industry

Making Responsible AI vital and embedded throughout the organization

Just like other forms of AI, every opportunity offered by generative AI comes with its own set of risks. It’s vital that every organization—including yours— scale this technology in responsible, ethical ways . It’s also essential to put AI governance and the responsible use of AI into practice to mitigate any potential risks—including bias, hallucinations, workforce transformation and displacement, or even cyberattacks.

We’ve done this ourselves through our Responsible AI Compliance program. The program rests on a set of principles based on Accenture’s core values and our overarching Code of Business Ethics. We apply these principles to the AI systems we design and build for internal use and the work we do with clients, partners and suppliers. Accenture's Responsible AI principles are:

• Human by design: Understand AI’s impact on humans. Ensure that impacts are identified and managed.
• Fairness : All models should treat all groups equitably. Action is needed to mitigate bias and other consequences.
• Transparency / Explainability / Accuracy : Disclose AI use. Ensure all can understand and evaluate AI outputs and decision-making processes.
• Safety : Evaluate potential concerns. Take action to mitigate harm when deploying AI.
• Accountability : Document enterprise-wide governance structures, with clear roles, policies, and responsibilities.
• Compliance / Data Privacy / Cybersecurity : Ensure AI complies with relevant laws, AI is secured against cyber-attacks, and data is secured with privacy protection.
• Sustainability : Consider the impact on the planet. Deploy with steps to mitigate any impacts.

The Responsible AI Compliance program

How do we act on this broad strategy? The Responsible AI Compliance program includes four essential elements that helped us activate ethical AI for real life usage:

• Establish AI governance : Raised leadership awareness, established a governance structure, implemented principles, policy and standards, and set up an internal multi-disciplinary program team.
• Conduct AI risk assessment : Conducted a preliminary risk assessment and regulatory/enforcement review and created screening and assessment processes.
• Enable systematic RAI testing and program : Institutionalized our approach into a compliance program, implemented standards for purchasing AI, embedded controls into technology/processes/systems, and developed testing tools and persona-based training.
• Ongoing monitoring and compliance of AI : Enabled ongoing monitoring and compliance through quality assurance programs, monitoring capabilities for compliance program effectiveness, and post-deployment use case compliance.

A Responsible AI compliance program will also need to engage cross functionally to address workforce impact, compliance with laws, sustainability, privacy/ security programs across the enterprise.

This is truly an amazing time in the history of mankind. Our responsible use of AI will pave the way to build a better world for us and our future generations.

Arnab Chakraborty / Global Responsible AI Lead, Accenture

A program that fits all businesses

Accenture’s own responsible AI journey has helped us become a valuable and transparent partner. In a world where consumers are four to six times more likely to buy, protect and champion purpose-driven companies , our journey is helping us use AI responsibly and is accelerating the path for others to do the same.

For instance, we helped a global retail and pharmacy giant integrate AI strategically and responsibly across its business—mapping AI development across the enterprise, enhancing its ethical AI governance model, and building the responsible AI foundations it needs to use and scale AI across the business.

But it’s not just businesses that must embrace responsible AI. There is a need for active collaboration between businesses, politicians, policy leaders, academicians and governments. All parties must come together and determine how we can create practical approaches and standards, guardrails that will help manage against the risks of AI. Only then can we begin to realize AI’s potential to transform how we work and live and create better societies for all.

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