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Gartner recognizes GEP as a Leader based on its 'Completeness of Vision' and 'Ability to Execute'
CLARK, N.J., Jan. 24, 2026 /PRNewswire/ -- GEP®, a leading provider of AI-powered procurement and supply chain software for Fortune 500 and Global 2000 enterprises worldwide, today announced that Gartner has positioned GEP as a Leader in the 2026 Gartner Magic Quadrant for Source-to-Pay Suites, for the second consecutive year. Vendors were evaluated based on specific criteria analyzing overall Completeness of Vision and Ability to Execute. A complimentary copy of the 2026 Gartner Magic Quadrant for Source-to-Pay Suites is available for download HERE.
"We believe, Gartner recognizing us as a Leader in this year's Magic Quadrant reflects the strength of our agentic AI platform, purpose-built from the ground up to automate work, solve complexity at scale, and deliver value," said Santosh Nair, GEP's global head of growth. "With GEP Qi, enterprises can advance autonomous procurement and supply chains, with our agentic AI and orchestration agents to optimize value, reduce risk, and deliver competitive advantage."
GEP SOFTWARE encompasses GEP SMART™, the world's best procurement software, and GEP NEXXE™, the next-generation cloud-native supply chain unified platform, and GEP GREEN™ to measure and advance sustainability. GEP SOFTWARE is powered by GEP Qi, the industry's leading Agentic AI-native platform. It enables clients to drive optimum efficiency, agility, visibility and actionable intelligence into all procurement, purchasing and supply chain functions while eliminating burdensome infrastructure and support costs to achieve maximum ROI.
Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of providers in markets where growth is high and provider differentiation is distinct. Providers are positioned into four quadrants: Leaders, Challengers, Visionaries and Niche Players. The research enables you to get the most from market analysis in alignment with your unique business and technology needs.
Gartner disclaimer
Gartner, Magic Quadrant for Source-to-Pay Suites, Micky Keck, Kaitlynn Sommers, Lynne Phelan, Magnus Bergfors, Alex Brady, 21 January 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from GEP. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
About GEP SOFTWARE™
GEP SOFTWARE provides AI-powered digital procurement and supply chain platforms that help global enterprises become more agile, resilient, competitive and profitable. With beautifully rendered interfaces and flexible workflows, GEP provides users fresh, intuitive digital workspaces that yield extraordinary levels of user adoption and meaningful gains in team and personal productivity. GEP products capitalize on machine learning and cognitive computing, advanced data and semantic technologies, IoT, mobile and cloud technologies, and are designed to incorporate continual innovations in technology. GEP's software integrates quickly and easily with third-party and legacy systems, such as SAP, Oracle and all other major ERP and F&A software. And with superb support and service, GEP is an industry leader in customer satisfaction and loyalty. GEP's cloud-native software and digital business platforms consistently win awards and recognition from industry analysts, research firms and media outlets. GEP SOFTWARE is part of Clark, NJ-based GEP — the world's leading provider of AI-powered procurement and supply chain software, strategy and managed services. To learn more, visit www.gepsoftware.com.
Media Contact
Derek Creevey
Director, Public Relations
GEP
Phone: +1 732-382-6565
Email: derek.creevey@gep.com
Gartner recognizes GEP as a Leader based on its 'Completeness of Vision' and 'Ability to Execute'
CLARK, N.J., Jan. 24, 2026 /PRNewswire/ -- GEP®, a leading provider of AI-powered procurement and supply chain software for Fortune 500 and Global 2000 enterprises worldwide, today announced that Gartner has positioned GEP as a Leader in the 2026 Gartner Magic Quadrant for Source-to-Pay Suites, for the second consecutive year. Vendors were evaluated based on specific criteria analyzing overall Completeness of Vision and Ability to Execute. A complimentary copy of the 2026 Gartner Magic Quadrant for Source-to-Pay Suites is available for download HERE.
"We believe, Gartner recognizing us as a Leader in this year's Magic Quadrant reflects the strength of our agentic AI platform, purpose-built from the ground up to automate work, solve complexity at scale, and deliver value," said Santosh Nair, GEP's global head of growth. "With GEP Qi, enterprises can advance autonomous procurement and supply chains, with our agentic AI and orchestration agents to optimize value, reduce risk, and deliver competitive advantage."
GEP SOFTWARE encompasses GEP SMART™, the world's best procurement software, and GEP NEXXE™, the next-generation cloud-native supply chain unified platform, and GEP GREEN™ to measure and advance sustainability. GEP SOFTWARE is powered by GEP Qi, the industry's leading Agentic AI-native platform. It enables clients to drive optimum efficiency, agility, visibility and actionable intelligence into all procurement, purchasing and supply chain functions while eliminating burdensome infrastructure and support costs to achieve maximum ROI.
Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of providers in markets where growth is high and provider differentiation is distinct. Providers are positioned into four quadrants: Leaders, Challengers, Visionaries and Niche Players. The research enables you to get the most from market analysis in alignment with your unique business and technology needs.
Gartner disclaimer
Gartner, Magic Quadrant for Source-to-Pay Suites, Micky Keck, Kaitlynn Sommers, Lynne Phelan, Magnus Bergfors, Alex Brady, 21 January 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from GEP. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
About GEP SOFTWARE™
GEP SOFTWARE provides AI-powered digital procurement and supply chain platforms that help global enterprises become more agile, resilient, competitive and profitable. With beautifully rendered interfaces and flexible workflows, GEP provides users fresh, intuitive digital workspaces that yield extraordinary levels of user adoption and meaningful gains in team and personal productivity. GEP products capitalize on machine learning and cognitive computing, advanced data and semantic technologies, IoT, mobile and cloud technologies, and are designed to incorporate continual innovations in technology. GEP's software integrates quickly and easily with third-party and legacy systems, such as SAP, Oracle and all other major ERP and F&A software. And with superb support and service, GEP is an industry leader in customer satisfaction and loyalty. GEP's cloud-native software and digital business platforms consistently win awards and recognition from industry analysts, research firms and media outlets. GEP SOFTWARE is part of Clark, NJ-based GEP — the world's leading provider of AI-powered procurement and supply chain software, strategy and managed services. To learn more, visit www.gepsoftware.com.
Media Contact
Derek Creevey
Director, Public Relations
GEP
Phone: +1 732-382-6565
Email: derek.creevey@gep.com
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
GEP AGAIN PLACED IN THE LEADERS QUADRANT IN 2026 GARTNER® MAGIC QUADRANT™ FOR SOURCE-TO-PAY SUITES
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TEANECK, N.J., March 11, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) released new research showing that companies pursuing AI adoption overwhelmingly prefer IT services firms - such as "AI Builder" firms, a new services model defined by designing and building custom, full stack AI solutions - to deliver real enterprise value from AI.
The research, based on a quantitative study of 600 AI decision makers and qualitative interviews with 38 senior executives, finds that organizations rank custom solutions and flexible engagement models as the most important factor when selecting an AI partner, ahead of pricing and time to value. Pricing and proven AI case studies remain important, but rank below capabilities that enable AI to be embedded directly into business operations and value chains.
At the same time, enterprises cite generic, off-the-shelf AI solutions as a leading reason to reject an AI provider, along with lack of industry-specific expertise, inability to integrate into existing technology stacks, and inadequate support and maintenance. According to the research, the top three challenges organizations face in enterprise AI adoption are regulatory and compliance concerns, difficulty demonstrating return on investment and lack of clear AI strategy and vision.
"AI success is not about deploying isolated models—it's about engineering intelligence into the enterprise with purpose-built solutions," said Ravi Kumar S, CEO of Cognizant. "The most trusted path to an AI future is working with an AI Builder—one that brings deep industry context, systems engineering expertise, and operational accountability. At Cognizant, we focus on building the bridge from AI experimentation to measurable enterprise value."
Key findings from the study include:
Enterprises face a "messy middle" in scaling AI: AI builders can create the bridge to enterprise value -- solving complex, real-world problems:
- 63% of enterprises report moderate-to-large gaps between their AI ambitions and current capabilities.
- The biggest barriers to scaling AI are operational and organizational:
- 33% cite regulatory and compliance challenges
- 31% struggle to demonstrate ROI
- 27% report shortages in talent
- 27% report inadequate data readiness
AI investment is long term, not experimental: Enterprises are committing sustained capital to AI, signaling long-term infrastructure building rather than speculative investment:
- 84% of enterprises maintain formal AI budgets
- 91% expect AI budgets to grow in the next two years
- 50% anticipate double-digit increases in AI budgets over the next two years
- 52% are already investing $10M or more annually on AI initiatives
AI is augmenting human workforces, not replacing them: Enterprise leaders are not forecasting workforce collapse, they're forecasting redesign of workflows for human-AI collaboration.
- Across 13 enterprise functions, the highest expected level of full automation is only 20% (in sales)
- Even in customer service, where 76% of leaders expect workflows to become AI-dominant, only 9% believe they will be fully automated.
In qualitative interviews conducted as part of the research, enterprise leaders said "out‑of‑the‑box" AI is inadequate; they want tailored solutions AI builders can develop and tune.
A Vice President in the UK banking sector shared, "A lot of vendors come in thinking that the off-the-shelf solutions they have would fit our needs, but often enough they find that that's not the case. And it takes them a number of years, more than they planned, and a lot of money, both from us … to get those software working. And these are not just AI software."
A US-based insurance industry CIO stated, "It depends on where I'm inserting this particular ingredient in our value. And so sometimes I want a builder and an engineer, sometimes I want an integrator, sometimes I want an activator. Because they're playing more of a coordinating function—a weaving, stitching-together function."
Together, these research insights underscore a clear shift in enterprise expectations: from experimenting with AI tools to partnering with AI Builders that can design, build, integrate, and operate AI systems at scale— in alignment with client governance, security, and risk‑management frameworks and with lasting business impact.
These findings align with recent remarks by Babak Hodjat, Chief AI Officer at Cognizant, who noted that enterprises are far from being able to rely on AI "out of the box." In interviews with Fortune and Reuters, Hodjat emphasized that while agentic and generative AI systems are advancing rapidly, organizations still need significant help engineering, integrating, governing, and operating these systems in ways that support client safety, reliability and governance requirements within complex enterprise environments.
AI decision makers rated IT services firms like AI builders highest in their ability to assist with their AI adoption (ahead of SaaS providers, cloud providers, AI model companies, AI startups and management consultancies). The research also finds that IT services firms are trusted across the AI adoption lifecycle—especially in ongoing management of AI-enabled systems, but also in AI strategy, custom AI solution development, increasing organizational productivity and scaling AI across the enterprise. IT services firms have a 23% trust advantage over management consultancies in AI adoption. While management consultancies benefit from strong brand recognition, they are seen as less credible in hands-on AI implementation.
About the Research
Cognizant's research findings are based on quantitative research conducted in November 2025 with 600 AI decision makers, and qualitative interviews conducted in October 2025 with 38 business and technology leaders in the United States, Germany, Singapore and Australia with AI decision making responsibility. The full report can be found here: How ai is reshaping business & empowering workforces | Cognizant
About Cognizant
Cognizant (NASDAQ: CTSH) is an AI builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Name: Gabrielle Gugliocciello
Email: gabrielle.gugliocciello@cognizant.com
Europe / APAC
Name: Sarah Douglas
Email: sarah.douglas@cognizant.com
India
Name: Vipin Nair
Email: Vipin.Nair@cognizant.com
TEANECK, N.J., March 11, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) released new research showing that companies pursuing AI adoption overwhelmingly prefer IT services firms - such as "AI Builder" firms, a new services model defined by designing and building custom, full stack AI solutions - to deliver real enterprise value from AI.
The research, based on a quantitative study of 600 AI decision makers and qualitative interviews with 38 senior executives, finds that organizations rank custom solutions and flexible engagement models as the most important factor when selecting an AI partner, ahead of pricing and time to value. Pricing and proven AI case studies remain important, but rank below capabilities that enable AI to be embedded directly into business operations and value chains.
At the same time, enterprises cite generic, off-the-shelf AI solutions as a leading reason to reject an AI provider, along with lack of industry-specific expertise, inability to integrate into existing technology stacks, and inadequate support and maintenance. According to the research, the top three challenges organizations face in enterprise AI adoption are regulatory and compliance concerns, difficulty demonstrating return on investment and lack of clear AI strategy and vision.
"AI success is not about deploying isolated models—it's about engineering intelligence into the enterprise with purpose-built solutions," said Ravi Kumar S, CEO of Cognizant. "The most trusted path to an AI future is working with an AI Builder—one that brings deep industry context, systems engineering expertise, and operational accountability. At Cognizant, we focus on building the bridge from AI experimentation to measurable enterprise value."
Key findings from the study include:
Enterprises face a "messy middle" in scaling AI: AI builders can create the bridge to enterprise value -- solving complex, real-world problems:
- 63% of enterprises report moderate-to-large gaps between their AI ambitions and current capabilities.
- The biggest barriers to scaling AI are operational and organizational:
- 33% cite regulatory and compliance challenges
- 31% struggle to demonstrate ROI
- 27% report shortages in talent
- 27% report inadequate data readiness
AI investment is long term, not experimental: Enterprises are committing sustained capital to AI, signaling long-term infrastructure building rather than speculative investment:
- 84% of enterprises maintain formal AI budgets
- 91% expect AI budgets to grow in the next two years
- 50% anticipate double-digit increases in AI budgets over the next two years
- 52% are already investing $10M or more annually on AI initiatives
AI is augmenting human workforces, not replacing them: Enterprise leaders are not forecasting workforce collapse, they're forecasting redesign of workflows for human-AI collaboration.
- Across 13 enterprise functions, the highest expected level of full automation is only 20% (in sales)
- Even in customer service, where 76% of leaders expect workflows to become AI-dominant, only 9% believe they will be fully automated.
In qualitative interviews conducted as part of the research, enterprise leaders said "out‑of‑the‑box" AI is inadequate; they want tailored solutions AI builders can develop and tune.
A Vice President in the UK banking sector shared, "A lot of vendors come in thinking that the off-the-shelf solutions they have would fit our needs, but often enough they find that that's not the case. And it takes them a number of years, more than they planned, and a lot of money, both from us … to get those software working. And these are not just AI software."
A US-based insurance industry CIO stated, "It depends on where I'm inserting this particular ingredient in our value. And so sometimes I want a builder and an engineer, sometimes I want an integrator, sometimes I want an activator. Because they're playing more of a coordinating function—a weaving, stitching-together function."
Together, these research insights underscore a clear shift in enterprise expectations: from experimenting with AI tools to partnering with AI Builders that can design, build, integrate, and operate AI systems at scale— in alignment with client governance, security, and risk‑management frameworks and with lasting business impact.
These findings align with recent remarks by Babak Hodjat, Chief AI Officer at Cognizant, who noted that enterprises are far from being able to rely on AI "out of the box." In interviews with Fortune and Reuters, Hodjat emphasized that while agentic and generative AI systems are advancing rapidly, organizations still need significant help engineering, integrating, governing, and operating these systems in ways that support client safety, reliability and governance requirements within complex enterprise environments.
AI decision makers rated IT services firms like AI builders highest in their ability to assist with their AI adoption (ahead of SaaS providers, cloud providers, AI model companies, AI startups and management consultancies). The research also finds that IT services firms are trusted across the AI adoption lifecycle—especially in ongoing management of AI-enabled systems, but also in AI strategy, custom AI solution development, increasing organizational productivity and scaling AI across the enterprise. IT services firms have a 23% trust advantage over management consultancies in AI adoption. While management consultancies benefit from strong brand recognition, they are seen as less credible in hands-on AI implementation.
About the Research
Cognizant's research findings are based on quantitative research conducted in November 2025 with 600 AI decision makers, and qualitative interviews conducted in October 2025 with 38 business and technology leaders in the United States, Germany, Singapore and Australia with AI decision making responsibility. The full report can be found here: How ai is reshaping business & empowering workforces | Cognizant
About Cognizant
Cognizant (NASDAQ: CTSH) is an AI builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Name: Gabrielle Gugliocciello
Email: gabrielle.gugliocciello@cognizant.com
Europe / APAC
Name: Sarah Douglas
Email: sarah.douglas@cognizant.com
India
Name: Vipin Nair
Email: Vipin.Nair@cognizant.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Cognizant Research Shows Plug-and-Play AI is a Myth
