The 2026 CIO 100 Awards: Redefining Enterprise IT Through AI, Agility, and Operational Excellence

Executive Overview

Each year, the prestigious CIO 100 Awards serve as a definitive barometer for the state of enterprise technology. Showcasing outstanding IT initiatives from around the globe, the awards program illustrates the profound power and potential of technology to fundamentally transform how people work, how organizations perform, and the enduring value they deliver to customers.

The 2026 cohort of winners is no exception. More than ever, this year’s honorees demonstrate how forward-thinking IT executives and their cross-functional teams successfully navigate the entire lifecycle of technology implementation—moving seamlessly from early-stage ideation to rapid deployment and enterprise-wide scaling. Along the way, these leaders overcome formidable cultural, financial, and technical hurdles, driving widespread user adoption to ensure their respective organizations realize a tangible, measurable return on investment (ROI).

While the winning initiatives span a remarkably diverse cross-section of industries—ranging from heavy manufacturing and electrical utilities to higher education, consumer goods, insurance, and logistics—a unifying thread connects them all: the pervasive, strategic integration of artificial intelligence (AI). A growing proportion of these standout projects leverage advanced AI models, intelligent automation, and agentic workflows, effectively raising the bar on the "art of the possible" for enterprise IT departments worldwide.

To celebrate these achievements, the following report examines 10 award-winning projects that serve as prime representatives for the exceptional body of work accomplished by all 2026 CIO 100 honorees.

Detailed Chronology of Honored Transformations

1. ABB: Democratizing AI Agent Creation with "ABBY"

• Organization: ABB
• Project: ABBY — AI Agentic Platform for Workforce Transformation
• IT Leader: Vikke Kandell, CIO; Babu Kuttala, VP of Data Analytics and AI

When IT leaders at global manufacturing giant ABB set out to architect an enterprise-wide artificial intelligence strategy, they faced a daunting triad of hurdles. They had to overcome internal employee anxieties regarding job displacement, navigate potentially exorbitant AI vendor licensing costs, and answer mounting pressure from investors, customers, and executive leadership to accelerate the adoption of generative AI.

"We looked at this and asked, ‘How do we address all this?’ and build something that the company is proud of," recalls Babu Kuttala, vice president of data analytics and AI.

The answer materialized as ABBY, an innovative agentic AI platform designed to empower employees to create and deploy specialized AI agents tailored to specific business tasks. To build ABBY, Kuttala’s team harnessed approximately 25 best-of-breed large language models (LLMs). They constructed a centralized orchestration layer using generative AI that integrates internal knowledge bases with external ecosystems. This created a unified platform where autonomous agents can access enterprise data, understand required actions, and execute complex tasks across multiple siloed systems. Crucially, the team incorporated preconfigured skills, allowing non-technical employees to build bespoke agents without writing a single line of code.

Rolled out initially in 2025 to a pilot group of 100 users, ABBY’s adoption exploded. Today, it is utilized by 63,000 employees—representing more than 75% of the company’s total workforce—with over 10,000 workers actively engaging the platform on a daily basis.

2. Belcorp: Modernizing Manufacturing with the "Smart Factory"

• Organization: Belcorp
• Project: QPlant — Smart Factory
• IT Leader: Venkat Gopalan, Chief Digital, Data, and Technology Officer

For beauty product manufacturer Belcorp, legacy operational processes were severely constraining the company’s capacity to scale and remain competitive. Manufacturing heavily relied on rigid, ERP-driven processes characterized by limited shop-floor automation and weak connectivity across production, packaging, quality control, and maintenance lines. Heavy reliance on manual record-keeping and post-process reconciliation resulted in fragmented data, blind spots in real-time visibility, operational inefficiencies, and heightened risk profiles.

The Smart Factory initiative fundamentally reimagined this landscape. "We created a connected, data-driven environment where production, quality, maintenance, and operations are aligned around real-time information and standardized execution," explains Venkat Gopalan, chief digital, data, and technology officer.

At the heart of QPlant is an advanced manufacturing execution system (MES) orchestrating shop-floor workflows. IoT-enabled equipment integration and a centralized Supervisory Control and Data Acquisition (SCADA) platform provide real-time operational visibility. Meanwhile, electronic batch records digitize production execution, fortify traceability, and embed compliance-by-design principles. By integrating these operational technologies (OT) with enterprise platforms, Belcorp transformed isolated data pools into actionable insights, generating over $1 million in net financial benefits in its first year alone.

3. Cohesity: Replatforming Post-Acquisition for Commercial Growth

• Organization: Cohesity
• Project: Lead to Cash Replatforming Program (Veritas Integration)
• IT Leader: Brian Spanswick, CIO; Eric Brown, CFO and COO

Cohesity set out to achieve an ambitious objective that would test the limits of any enterprise IT organization: complete a massive, end-to-end lead-to-cash replatforming project in under six months.

Adding immense complexity to the aggressive timeline was the context—the initiative directly followed Cohesity’s December 2024 acquisition of Veritas, an organization twice its size in revenue. Cohesity was tasked with integrating the majority of a global enterprise revenue engine into its own operating model without causing a single operational hiccup for customers, channel partners, or sales teams.

"We had to bring the two companies together, merge the workforces together, and create an overall harmonized organization and operating infrastructure platform," notes Eric Brown, CFO and COO.

The program successfully migrated heavily customized, brittle, and bespoke CRM, CPQ, PRM, ERP, and subscription platforms into a unified SaaS-based architecture. Eschewing a risky "lift-and-shift" approach, Cohesity utilized the migration as a business process optimization exercise, questioning legacy workflows to streamline operations. The project ensured uninterrupted continuity for over 13,000 customers and established a scalable commercial foundation for future growth.

4. Dairyland Power Cooperative: Deploying "ODIN" to Protect Field Crews

• Organization: Dairyland Power Cooperative
• Project: ODIN — Organizational Effectiveness Agentic AI
• IT Leader: Nate Melby, Vice President and CIO

Dairyland Power Cooperative had amassed decades of operational data: field observations, incident reports, near-misses, safety regulations, and specialized work methods. However, these critical safety insights remained trapped and isolated within organizational silos.

Turning to Vice President and CIO Nate Melby, Dairyland’s organizational effectiveness team sought a technological key to unlock this data. Recognizing the power of modern architecture, Melby championed an agentic AI approach. "This was about finding insights on how to work more safely," Melby states. "It’s about preventing incidents."

The resulting platform, ODIN (Organizational Effectiveness Agentic AI), represents the first agentic AI implementation of its kind within the electric utility sector. ODIN autonomously connects the cooperative’s collective safety knowledge and delivers actionable, context-aware guidance directly to field crews at the exact moment work is being planned. Developed using a hybrid framework combining an agentic AI platform with Dairyland’s private generative AI environment (VoltWrite), ODIN leverages LLMs, retrieval-augmented generation (RAG), and a coordinated swarm of autonomous agents to analyze safety data and synthesize precise operational instructions. The deployment has successfully driven down OSHA-recordable injuries while elevating the consistency of pre-job safety briefings.

5. Dow: Driving Low-Carbon Sales via the Digital Carbon Footprint Ledger

• Organization: Dow
• Project: Carbon Footprint Ledger (CFL)
• IT Leader: Deb Bauler, Chief Information and Digital Officer; Jeremy Preston, Senior Global IT Director

Executives at materials science leader Dow view the Carbon Footprint Ledger (CFL) as far more than a standard carbon accounting tool. According to Senior Global IT Director Jeremy Preston, CFL operates as "a digital business capability that enables Dow to translate sustainability investments into customer value."

The platform transforms how Dow manages and utilizes greenhouse gas (GHG) emissions data. By combining an accounting methodology aligned with strict international standards with an enterprise-scale digital platform, CFL integrates manufacturing, supply chain, commercial, and sustainability datasets. Built on Dow’s Integrated Data Hub in partnership with Boston Consulting Group and Databricks, CFL reconstructs product genealogy and maintains end-to-end data lineage. This creates a trusted, traceable link between low-carbon manufacturing inputs and the sustainable end-products demanded by commercial buyers, driving hundreds of millions of dollars in low-carbon product sales across 2025 and 2026.

6. Johnson & Johnson: Transforming Quality Management with AI

• Organization: Johnson & Johnson
• Project: Q&C Strategy (QuIn and Cora Platforms)
• IT Leader: Michael Comprelli, VP, Head of Technology, Technical Operations, and Risk; Joel O’Connor, Head of Technology, Medtech Quality, and Compliance

Johnson & Johnson is fundamentally redefining quality and compliance operations through its advanced Q&C Strategy, anchored by two proprietary generative AI platforms: QuIn and Cora.

• QuIn acts as an AI-powered digital assistant that fuses human expertise with machine learning, automation, and data insights. By embedding gen AI into core quality management processes, QuIn proactively captures actionable insights and automates time-intensive tasks, putting J&J on track to achieve over $62 million in documented cost savings by 2028.
• Cora is a specialized gen AI platform built expressly for highly regulated environments. It provides continuous regulatory intelligence monitoring, impact analysis, automated document comparison, and content revision while rigorously validating outputs against verified source materials. Cora delivered $2 million in efficiency gains in 2025, with projected savings scaling to $25 million by 2028.

"Our teams proved responsible AI can be applied meaningfully in a highly regulated environment without compromising the rigor, accountability, or human judgment that quality requires," emphasizes Michael Comprelli.

7. JLL: Bringing Intelligent Automation to Business Services

• Organization: JLL
• Project: Business Service Digitization
• IT Leader: Pinak Dash, Global Head of JLL Business Services and Legal Technologies

Real estate services giant JLL launched its comprehensive digitization initiative to overhaul operational processes and systematically deploy artificial intelligence and robotic process automation (RPA) across JLL Business Services (JBS). Designed to eradicate manual bottlenecks consuming thousands of hours across finance, HR, legal, procurement, and IT, the program relies on a tripartite technological foundation:

1. A Hybrid Automation Platform: Integrating RPA with JLL’s proprietary AI engine, Falcon, to deliver intelligent document processing, automated data extraction, and real-time workflow optimization.
2. ProHance Process Monitoring: Sensors that capture granular productivity metrics to identify performance roadblocks and guide continuous process improvement.
3. Custom AI Assistants and Transaction Agents: Falcon-powered assistants offering intelligent search capabilities alongside specialized agents capable of autonomously executing complex multi-system transactions across enterprise SaaS stacks.

8. Nationwide: Scaling Partnerships via the Enterprise Digital Platform

• Organization: Nationwide
• Project: Enterprise Digital Platform (EDP)
• IT Leader: Michael Carrel, EVP and CTO

Nationwide’s Enterprise Digital Platform (EDP) has transformed how the financial services and insurance organization collaborates with external entities. "Instead of treating every integration as a custom effort, EDP creates a common front door for digital products, documentation, onboarding, and governance," explains EVP and CTO Michael Carrel.

Built on cloud-native microservices, role-based access control (RBAC), and advanced analytics, EDP replaced fragmented point-to-point integrations with a modular, platform-agnostic developer portal. This architectural evolution allows Nationwide to engage partners at varying levels of technical maturity, drastically accelerating product go-to-market timelines and enabling scalable enterprise growth.

9. PITT Ohio: Fast-Tracking Shipment Requests with "N@TE AI"

• Organization: PITT Ohio
• Project: No Touch Email (N@TE AI)
• IT Leader: Scott Sullivan, President and CEO (formerly CIO); Ryan Carner, Director of Enterprise IT Solutions

Faced with the daily operational bottleneck of customer service representatives manually processing hundreds of unstructured pickup request emails, transportation provider PITT Ohio turned to generative AI.

The result is N@TE (No Touch Email) AI, a proprietary solution launched and patented in 2025. N@TE utilizes natural language processing and generative AI to automatically scan incoming emails, extract intricate shipment criteria, and populate orders directly into the company’s transportation management system (TMS) via API integration. The impact has been transformative: N@TE delivers a 30 to 60-fold increase in processing speed, achieves 99% data extraction accuracy, and slashes handling costs per pickup order by 70%.

10. Southern Methodist University: Scaling AI Through Grassroots Advocacy

• Organization: Southern Methodist University (SMU)
• Project: Scaling AI Without Scaling AI: Organizational AI Scaling Through Willingness
• IT Leader: Jason Warner, Associate CIO

Rather than pursuing a traditional, top-down technology rollout, leaders at Southern Methodist University tackled organizational AI hesitancy through a grassroots community-building approach. Associate CIO Jason Warner and his colleagues established opt-in communities of practice known as the AI Coalition of the Willing and Operation Copilot.

By providing licensed access to advanced AI tools conditionally upon active participation and self-paced training, SMU transformed early enthusiasts into internal enterprise evangelists. These willing users naturally demonstrated the tangible benefits of AI—such as time reclamation and reduced cognitive load—to skeptical colleagues, proving that scaling technology relies fundamentally on scaling human willingness.

Supporting Context & Key Metrics

To fully appreciate the magnitude of the 2026 CIO 100 winning projects, it is essential to examine the quantitative and qualitative metrics underpinning their success. The following data highlights the scale, efficiency gains, and financial returns generated by these premier IT initiatives:

Official Statements & Leadership Insights

The success of these transformative initiatives stems directly from visionary executive leadership and disciplined execution strategies. Below is a curated compilation of foundational insights shared by the IT leaders behind the 2026 CIO 100 winning projects:

• On Aligning Business Strategy with AI Innovation:
  “We looked at this and asked, ‘How do we address all this?’ and build something that the company is proud of.” — Babu Kuttala, VP of Data Analytics and AI, ABB

• On the Imperative of Real-Time Operational Visibility:
  “This connected architecture transformed isolated data into actionable insights, enabling faster decision-making, greater operational visibility, and continuous improvement across the manufacturing lifecycle.” — Venkat Gopalan, Chief Digital, Data, and Technology Officer, Belcorp

• On Merging M&A Execution with Process Optimization:
  “It was a business process optimization project as well. We want to run very efficiently, so we questioned everything and used the migration process to simplify and streamline the business in every possible respect.” — Eric Brown, CFO and COO, Cohesity

• On Proactive Safety and Agentic Capabilities in Utilities:
  “This was about finding insights on how to work more safely. It’s about preventing incidents.” — Nate Melby, VP and CIO, Dairyland Power Cooperative

• On Turning Sustainability into Commercial Differentiation:
  “CFL enables Dow to turn sustainability investments into customer value, commercial differentiation, and new growth opportunities.” — Jeremy Preston, Senior Global IT Director, Dow

• On Governing AI in Heavily Regulated Sectors:
  “Our teams proved responsible AI can be applied meaningfully in a highly regulated environment without compromising the rigor, accountability, or human judgment that quality requires.” — Michael Comprelli, VP, Head of Technology, Technical Operations, and Risk, Johnson & Johnson

• On Dismantling Point-to-Point Integration Complexities:
  “Instead of treating every integration as a custom effort, EDP creates a common front door for digital products, documentation, onboarding, and governance.” — Michael Carrel, EVP and CTO, Nationwide

• On Fostering Human-Centric Grassroots Adoption:
  “We knew the fastest way to scale AI was to scale the willingness of people to use the technology, and not talking to people about cost savings and the like.” — Jason Warner, Associate CIO, Southern Methodist University

Future Outlook: The Next Horizon for Enterprise IT

As enterprise technology accelerates into the latter half of the decade, the initiatives recognized by the 2026 CIO 100 Awards offer a clear blueprint for the future. The era of isolated pilot projects and exploratory proof-of-concepts has definitively given way to mature, production-grade deployments where artificial intelligence, automated workflows, and cloud-native architectures are deeply embedded into the fabric of daily enterprise operations.

Key takeaways and forward-looking projections for enterprise IT include:

1. The Rise of Autonomous Agentic Workflows: Moving beyond basic conversational chatbots, organizations are increasingly turning to multi-agent systems—such as those deployed by ABB, Dairyland Power, and JLL—that can autonomously reason, collaborate, and execute complex, multi-system enterprise tasks.
2. Regulatory Governance as a Competitive Edge: As demonstrated by Johnson & Johnson and Dow, rigorous compliance, data lineage tracking, and verifiable traceability are no longer viewed merely as operational constraints. Instead, they serve as critical commercial differentiators that build customer trust and unlock new revenue streams.
3. Culture and Change Management as Key Enablers: Technology alone does not drive transformation. As highlighted by SMU and ABB, successful digital evolution requires deliberate, empathetic change management strategies that address workforce concerns, cultivate internal champions, and systematically scale human willingness alongside digital capabilities.

Ultimately, the 2026 CIO 100 winners prove that when technical excellence, strategic alignment, and visionary leadership converge, enterprise IT transcends its traditional support function to become the primary engine of modern business growth and innovation.