
Accenture (NYSE:ACN) and the Carnegie Mellon University Software Engineering Institute (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI

<p xmlns="http://www.w3.org/1999/xhtml">
Accenture (NYSE:<a class="ticker" href="https://www.benzinga.com/quote/ACN">ACN</a>) and the <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.sei.cmu.edu%2F&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=Carnegie+Mellon+University+Software+Engineering+Institute&amp;index=1&amp;md5=9b37eb37fcfaddef73a763da6ee0ad87" shape="rect">Carnegie Mellon University Software Engineering Institute</a> (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes.

</p><p xmlns="http://www.w3.org/1999/xhtml" id="news-body-cta">This press release features multimedia. View the full release here: <a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260608890124/en/" rel="nofollow">https://www.businesswire.com/news/home/20260608890124/en/</a></p><div xmlns="http://www.w3.org/1999/xhtml" id="bwbodyimg" style="width: 480px; float:left; padding-left:0px; padding-right:20px; padding-top:0px; padding-bottom:0px;"><img xmlns="http://www.w3.org/1999/xhtml" src="https://mms.businesswire.com/media/20260608890124/en/2825366/4/SEI.jpg" alt="Accenture and the Carnegie Mellon University Software Engineering Institute (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes."></img><p xmlns="http://www.w3.org/1999/xhtml" style="font-size:85%;">Accenture and the Carnegie Mellon University Software Engineering Institute (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes.</p></div><p xmlns="http://www.w3.org/1999/xhtml">
The model provides a structured approach for commercial enterprises and government organizations to assess their current AI capabilities, identify gaps and build a clear roadmap for responsible, value-driven AI adoption.

</p><p xmlns="http://www.w3.org/1999/xhtml">
"Many AI maturity models in the market now focus on high-level strategy without considering the engineering rigor that organizations actually need to scale," said Manish Sharma, Chief Strategy and Services Officer at Accenture. "What we've built with the SEI is fundamentally different. It's grounded in decades of maturity-modeling discipline, validated through real-world pilots with Fortune 500 companies, and designed to meet organizations where they are across eight critical dimensions of AI readiness. This practitioner-focused framework helps leaders move from AI ambition to measurable, repeatable outcomes."

</p><p xmlns="http://www.w3.org/1999/xhtml">
&#34;Organizations achieve lasting AI value and return on investment through discipline, not just speed," said <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.sei.cmu.edu%2Fauthors%2Fipek-ozkaya%2F&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=Ipek+Ozkaya&amp;index=2&amp;md5=2dba0f31bb3ec6ea624e4357c5f90151" shape="rect">Ipek Ozkaya</a>, technical director of AI-native software engineering at the SEI. "True AI maturity is not measured by how much AI an organization deploys, but by its ability to build trustworthy and resilient capabilities, rigorous engineering practices, and governance approaches aligned with business outcomes and evolving technological realities. AI adoption success is reflected in how an organization can effectively orchestrate these practices. Our approach to developing this AI Adoption Maturity Model includes continuous refinement, real-world application, and community engagement, to both help organizations drive sustainable AI transformation and advance the state of practice."

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">A Proven Model for More Predictable Outcomes</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
The launch comes at a critical inflection point for enterprise AI. Investment is surging, with <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.accenture.com%2Fus-en%2Finsights%2Fpulse-of-change&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=86+percent+of+C-suite+leaders&amp;index=3&amp;md5=e98f9b7feb940d1bc076def338e92bca" shape="rect">86 percent of C-suite leaders</a> planning to increase AI spending in 2026. Yet, execution is not keeping pace. Accenture research shows that <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.accenture.com%2Fus-en%2Finsights%2Ftechnology%2Fintelligent-superhighway-ai-value&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=only+21+percent&amp;index=4&amp;md5=b7f2376cb5ec76ba0b093668c2205980" shape="rect">only 21 percent</a> of organizations are redesigning end-to-end processes with AI at the core, and <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fnewsroom.accenture.co.uk%2Fenglish-uk%2Fnews%2F2026%2Fwidespread-ai-adoption-in-the-uk-has-yet-to-scale-into-productivity-gains-across-organisations-accenture-research-finds&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=nearly+half+of+executives&amp;index=5&amp;md5=1bf5bd0f57fd87e13395bd62b2b2f7a7" shape="rect">nearly half of executives</a> report AI has so far delivered little impact on profit. In most cases, the barrier is not the technology itself, but mismatched expectations, misaligned applications and poorly executed implementation practices.

</p><p xmlns="http://www.w3.org/1999/xhtml">
Against this backdrop, the SEI and Accenture set out to address a clear gap in the market. While many AI maturity models exist, most lack an engineering foundation, a clear measurement approach or validation in real-world environments.

</p><p xmlns="http://www.w3.org/1999/xhtml">
To develop the AI Adoption Maturity Model, the teams systematically reviewed more than 100 existing AI maturity efforts, conducted approximately 25 executive interviews, surveyed nearly 600 practitioners and completed intensive pilots with Fortune 500 organizations. Insights from this research were continuously folded back into the model, resulting in a framework grounded in the SEI's four decades of leadership in maturity modeling and Accenture's experience delivering more than 11,000 advanced AI projects worldwide.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">An Engineering Approach to Enterprise-Scale AI</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
The AI Adoption Maturity Model is a framework for assessing the ability of an organization to perform and sustain specific technical practices to achieve two key, high-level goals: organizational change and AI lifecycle engineering.

</p><p xmlns="http://www.w3.org/1999/xhtml">
The model divides AI-relevant capability areas into eight core dimensions: organizational strategy, workforce and culture, workflow re-engineering, risk and governance, data, engineering, operations and ecosystem. An organization's maturity is measured by how well key practices across these dimensions are implemented, governed and sustained—providing a clear baseline and a roadmap for improvement. The model is accompanied by an assessment tool that enables structured implementation and benchmarking of client outcomes across industries.

</p><p xmlns="http://www.w3.org/1999/xhtml">
With an assessment against the model, organizations can establish their baseline readiness to incorporate AI into workflows and tech ecosystems—enabling organizations to identify use cases, institutionalize practices, focus on the value of investments and create a structured roadmap for adoption. With rigorous reassessments, organizations can check their AI maturity and realign the roadmap to changes in the AI landscape.

</p><p xmlns="http://www.w3.org/1999/xhtml">
"As organizations move from experimentation to enterprise-scale AI, a mature and scalable approach is essential to compete and thrive in the AI economy,&#34; said Kishore Durg, Lead for Accenture LearnVantage. &#34;Developing a mature AI organization is more than learning a set of tools or techniques, it requires a cultural transformation. We are proud to support this research, helping our clients build AI-centric workflows and workforces that redefine how work gets done in the AI era. Together with the SEI, we are advancing a structured path for organizations to institutionalize AI to realize predictable and sustainable business value."

</p><p xmlns="http://www.w3.org/1999/xhtml">
To learn more, join experts from Accenture and the SEI in the live webcast "<a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Frethinking-and-maturing-ai-adoption-tickets-1990513608787&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=Rethinking+and+Maturing+AI+Adoption&amp;index=6&amp;md5=b3c338f8c3627156d1ef7ebeacdb55ec" shape="rect">Rethinking and Maturing AI Adoption</a>," June 9 at 1:30 p.m. EDT.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">About Accenture</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.accenture.com%2F&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=accenture.com&amp;index=7&amp;md5=65f204d6f573d5f5b778873c9353392a" shape="rect">accenture.com</a>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
Copyright &#xA9; 2026 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture.

</p><p xmlns="http://www.w3.org/1999/xhtml"><img xmlns="http://www.w3.org/1999/xhtml" alt="" src="https://cts.businesswire.com/ct/CT?id=bwnews&amp;sty=20260608890124r1&amp;sid=benz2&amp;distro=nx&amp;lang=en" style="width:0;height:0"></img><span xmlns="http://www.w3.org/1999/xhtml" class="bwct31415"></span></p><p xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink"><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-phrase">View source version on businesswire.com: </span><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-link"><a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260608890124/en/" rel="nofollow">https://www.businesswire.com/news/home/20260608890124/en/</a></span></p><p xmlns="http://www.w3.org/1999/xhtml">
Dallin Hatch
<br xmlns="http://www.w3.org/1999/xhtml"></br>Accenture
<br xmlns="http://www.w3.org/1999/xhtml"></br>+1 719 244 6537
<br xmlns="http://www.w3.org/1999/xhtml"></br><a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="mailto:dallin.p.hatch@accenture.com" shape="rect">dallin.p.hatch@accenture.com</a>

</p>

Accenture and the Carnegie Mellon University Software Engineering Institute Launch AI Adoption Maturity Model to Help Organizations Scale AI with Predictable Outcomes

Accenture and SEI Launch AI Adoption Model to Scale Enterprise AI

<section class="insight" data-version="1">
  <section data-block="information">
    <h3>Information</h3>
    <p>Accenture (NYSE:ACN) and the Carnegie Mellon University Software Engineering Institute (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI</p>
  </section>

  <section data-block="ai-summary-paragraph">
    <h3>AI Summary</h3>
    <p>Accenture and the CMU Software Engineering Institute unveiled the AI Adoption Maturity Model to scale enterprise AI with measurable outcomes across eight readiness dimensions. Backed by pilots with Fortune 500 firms, the framework aims to convert AI ambition into disciplined execution, signaling rising demand for AI-enabled services and potential backlog growth for Accenture.</p>
  </section>

  <section data-block="ai-summary-bullets">
    <h3>Key Points</h3>
    <ul><li>Accenture and CMU SEI launch the AI Adoption Maturity Model.</li><li>Model covers eight AI readiness dimensions and governance practices.</li><li>86% of C-suite leaders plan AI spending increases in 2026; 21% redesign processes with AI.</li><li>Accenture cites 11,000+ AI projects and FY25 revenue around $70B.</li></ul>
  </section>

  <section data-block="companies-mentioned">
    <h3>Companies Mentioned</h3>
    <ul><li><strong>Accenture (ACN)</strong>: Collaborates with SEI to offer AI Adoption Maturity Model; potential uplift to consulting demand.</li><li><strong>Carnegie Mellon University Software Engineering Institute (SEI)</strong>: Co-developer of the maturity model; lends credibility and rigor to enterprise AI adoption frameworks.</li></ul>
  </section>

  <section data-block="category">
    <h3>Corporate Developments</h3>
    <p>Corporate Developments within the Industry News space; a strategic collaboration and product framework that could broaden ACN&#039;s AI consulting pipeline and client adoption of enterprise AI.</p>
  </section>

  <section data-block="market-moving">
    <h3>Market-Moving</h3>
    <ul><li>AI adoption maturity framework may expand ACN&#039;s AI services backlog.</li><li>Rising enterprise AI spend supports consulting demand for ACN.</li><li>Backlog growth potential depends on client execution and billing mix.</li></ul>
  </section>

  <section data-block="key-facts">
    <h3>Key Facts</h3>
    <ul><li>June 8, 2026: Accenture and SEI announce the AI Adoption Maturity Model.</li><li>June 9, 2026: Live webcast &#039;Rethinking and Maturing AI Adoption&#039; scheduled.</li><li>86% of C-suite leaders plan to increase AI spending in 2026.</li><li>Only 21% redesign end-to-end processes with AI at core.</li><li>Accenture has delivered over 11,000 advanced AI projects; FY25 revenue ~ $70 billion.</li></ul>
  </section>

  <section data-block="trading-thesis">
    <h3>Trading Thesis</h3>
    <p>ACN could see positive, gradual upside over 6–12 months as enterprise AI adoption accelerates.</p>
  </section>
</section>


<p xmlns="http://www.w3.org/1999/xhtml">
Accenture (NYSE:<a class="ticker" href="https://www.benzinga.com/quote/ACN">ACN</a>) and the <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.sei.cmu.edu%2F&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=Carnegie+Mellon+University+Software+Engineering+Institute&amp;index=1&amp;md5=9b37eb37fcfaddef73a763da6ee0ad87" shape="rect">Carnegie Mellon University Software Engineering Institute</a> (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes.

</p><p xmlns="http://www.w3.org/1999/xhtml" id="news-body-cta">This press release features multimedia. View the full release here: <a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260608890124/en/" rel="nofollow">https://www.businesswire.com/news/home/20260608890124/en/</a></p><div xmlns="http://www.w3.org/1999/xhtml" id="bwbodyimg" style="width: 480px; float:left; padding-left:0px; padding-right:20px; padding-top:0px; padding-bottom:0px;"><img xmlns="http://www.w3.org/1999/xhtml" src="https://mms.businesswire.com/media/20260608890124/en/2825366/4/SEI.jpg" alt="Accenture and the Carnegie Mellon University Software Engineering Institute (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes."></img><p xmlns="http://www.w3.org/1999/xhtml" style="font-size:85%;">Accenture and the Carnegie Mellon University Software Engineering Institute (SEI) today launched the AI Adoption Maturity Model, a research-validated framework designed to help organizations move beyond AI experimentation to scale artificial intelligence with measurable, repeatable outcomes.</p></div><p xmlns="http://www.w3.org/1999/xhtml">
The model provides a structured approach for commercial enterprises and government organizations to assess their current AI capabilities, identify gaps and build a clear roadmap for responsible, value-driven AI adoption.

</p><p xmlns="http://www.w3.org/1999/xhtml">
"Many AI maturity models in the market now focus on high-level strategy without considering the engineering rigor that organizations actually need to scale," said Manish Sharma, Chief Strategy and Services Officer at Accenture. "What we've built with the SEI is fundamentally different. It's grounded in decades of maturity-modeling discipline, validated through real-world pilots with Fortune 500 companies, and designed to meet organizations where they are across eight critical dimensions of AI readiness. This practitioner-focused framework helps leaders move from AI ambition to measurable, repeatable outcomes."

</p><p xmlns="http://www.w3.org/1999/xhtml">
&#34;Organizations achieve lasting AI value and return on investment through discipline, not just speed," said <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.sei.cmu.edu%2Fauthors%2Fipek-ozkaya%2F&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=Ipek+Ozkaya&amp;index=2&amp;md5=2dba0f31bb3ec6ea624e4357c5f90151" shape="rect">Ipek Ozkaya</a>, technical director of AI-native software engineering at the SEI. "True AI maturity is not measured by how much AI an organization deploys, but by its ability to build trustworthy and resilient capabilities, rigorous engineering practices, and governance approaches aligned with business outcomes and evolving technological realities. AI adoption success is reflected in how an organization can effectively orchestrate these practices. Our approach to developing this AI Adoption Maturity Model includes continuous refinement, real-world application, and community engagement, to both help organizations drive sustainable AI transformation and advance the state of practice."

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">A Proven Model for More Predictable Outcomes</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
The launch comes at a critical inflection point for enterprise AI. Investment is surging, with <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.accenture.com%2Fus-en%2Finsights%2Fpulse-of-change&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=86+percent+of+C-suite+leaders&amp;index=3&amp;md5=e98f9b7feb940d1bc076def338e92bca" shape="rect">86 percent of C-suite leaders</a> planning to increase AI spending in 2026. Yet, execution is not keeping pace. Accenture research shows that <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.accenture.com%2Fus-en%2Finsights%2Ftechnology%2Fintelligent-superhighway-ai-value&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=only+21+percent&amp;index=4&amp;md5=b7f2376cb5ec76ba0b093668c2205980" shape="rect">only 21 percent</a> of organizations are redesigning end-to-end processes with AI at the core, and <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fnewsroom.accenture.co.uk%2Fenglish-uk%2Fnews%2F2026%2Fwidespread-ai-adoption-in-the-uk-has-yet-to-scale-into-productivity-gains-across-organisations-accenture-research-finds&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=nearly+half+of+executives&amp;index=5&amp;md5=1bf5bd0f57fd87e13395bd62b2b2f7a7" shape="rect">nearly half of executives</a> report AI has so far delivered little impact on profit. In most cases, the barrier is not the technology itself, but mismatched expectations, misaligned applications and poorly executed implementation practices.

</p><p xmlns="http://www.w3.org/1999/xhtml">
Against this backdrop, the SEI and Accenture set out to address a clear gap in the market. While many AI maturity models exist, most lack an engineering foundation, a clear measurement approach or validation in real-world environments.

</p><p xmlns="http://www.w3.org/1999/xhtml">
To develop the AI Adoption Maturity Model, the teams systematically reviewed more than 100 existing AI maturity efforts, conducted approximately 25 executive interviews, surveyed nearly 600 practitioners and completed intensive pilots with Fortune 500 organizations. Insights from this research were continuously folded back into the model, resulting in a framework grounded in the SEI's four decades of leadership in maturity modeling and Accenture's experience delivering more than 11,000 advanced AI projects worldwide.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">An Engineering Approach to Enterprise-Scale AI</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
The AI Adoption Maturity Model is a framework for assessing the ability of an organization to perform and sustain specific technical practices to achieve two key, high-level goals: organizational change and AI lifecycle engineering.

</p><p xmlns="http://www.w3.org/1999/xhtml">
The model divides AI-relevant capability areas into eight core dimensions: organizational strategy, workforce and culture, workflow re-engineering, risk and governance, data, engineering, operations and ecosystem. An organization's maturity is measured by how well key practices across these dimensions are implemented, governed and sustained—providing a clear baseline and a roadmap for improvement. The model is accompanied by an assessment tool that enables structured implementation and benchmarking of client outcomes across industries.

</p><p xmlns="http://www.w3.org/1999/xhtml">
With an assessment against the model, organizations can establish their baseline readiness to incorporate AI into workflows and tech ecosystems—enabling organizations to identify use cases, institutionalize practices, focus on the value of investments and create a structured roadmap for adoption. With rigorous reassessments, organizations can check their AI maturity and realign the roadmap to changes in the AI landscape.

</p><p xmlns="http://www.w3.org/1999/xhtml">
"As organizations move from experimentation to enterprise-scale AI, a mature and scalable approach is essential to compete and thrive in the AI economy,&#34; said Kishore Durg, Lead for Accenture LearnVantage. &#34;Developing a mature AI organization is more than learning a set of tools or techniques, it requires a cultural transformation. We are proud to support this research, helping our clients build AI-centric workflows and workforces that redefine how work gets done in the AI era. Together with the SEI, we are advancing a structured path for organizations to institutionalize AI to realize predictable and sustainable business value."

</p><p xmlns="http://www.w3.org/1999/xhtml">
To learn more, join experts from Accenture and the SEI in the live webcast "<a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Frethinking-and-maturing-ai-adoption-tickets-1990513608787&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=Rethinking+and+Maturing+AI+Adoption&amp;index=6&amp;md5=b3c338f8c3627156d1ef7ebeacdb55ec" shape="rect">Rethinking and Maturing AI Adoption</a>," June 9 at 1:30 p.m. EDT.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">About Accenture</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.accenture.com%2F&amp;esheet=54548451&amp;newsitemid=20260608890124&amp;lan=en-US&amp;anchor=accenture.com&amp;index=7&amp;md5=65f204d6f573d5f5b778873c9353392a" shape="rect">accenture.com</a>.

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Copyright &#xA9; 2026 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture.

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Accenture and the CMU Software Engineering Institute unveiled the AI Adoption Maturity Model to scale enterprise AI with measurable outcomes across eight readiness dimensions. Backed by pilots with Fortune 500 firms, the framework aims to convert AI ambition into disciplined execution, signaling rising demand for AI-enabled services and potential backlog growth for Accenture.

accenture-and-the-carnegie-mellon-university-software-engineering-institute-launch-ai-adoption-maturity-model-to-help-organizations-scale-ai-with-predictable-outcomes

Accenture and the Carnegie Mellon University Software Engineering Institute Launch AI Adoption Maturity Model to Help Organizations Scale AI with Predictable Outcomes

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