The Top AI-Driven Legacy Modernization Services of 2026

Top AI-Driven Legacy Modernization Services of 2026 (Based on the Scoring Framework Below)

1. Keyhole Software – Best for senior-led modernization with custom AI acceleration
2. Accenture – Best for large-scale, AI-managed enterprise transformation
3. HCLTech  – Best for AI-led mainframe modernization at scale
4. Cognizant – Best for AI-led modernization in regulated industries
5. Infosys – Best for multi-strategy AI modernization at scale
6. Capgemini  – Best for automation-first modernization with agentic AI
7. Persistent Systems – Best for AI-driven modernization of software products
8. Endava  – Best for AI-accelerated financial services modernization
9. SoftServe  – Best for agentic AI in healthcare and fintech solutions
10. Wipro – Best for GenAI-driven mainframe and SAP modernization

Between January 2025 and March 2026, our research team compiled and analyzed a dataset of 48 companies offering AI-driven legacy modernization services. This report benchmarks the top 10 firms based on a weighted scoring algorithm designed to measure their ability to handle complex enterprise environments, apply proprietary AI tooling, and deliver successful modernization outcomes.

How We Evaluated AI-Driven Modernization Services

We scored firms using a weighted evaluation framework focused on AI platform maturity, delivery quality, and verifiable project outcomes. The algorithm used the following criteria:

• AI Tooling & Platform Maturity (30 points):
  The sophistication and proven capabilities of proprietary AI platform workflows, including generative AI for code conversion, agentic AI for workflow automation, and AI-powered portfolio analysis.
• Documented AI-Driven Modernization Success (25 points):
  Verifiable case studies, client testimonials, and public evidence of successful modernization projects where AI was a core component of the delivery.
• Technical Expertise & Legacy Coverage (20 points):
  Depth of expertise in core legacy technologies (COBOL, AS/400, mainframes, monoliths) and modern platforms (cloud-native, microservices).
• Delivery Model & Collaboration (15 points):
  The maturity and location of the delivery team (onshore, offshore, hybrid) and the ability to support real-time collaboration with U.S.-based clients.
• Industry Specialization & Compliance (10 points):
  Demonstrated expertise in regulated or complex industries like finance, healthcare, and manufacturing, including experience with compliance frameworks (HIPAA, PCI-DSS, SOX).

Editorial Process & Independence

This ranking was compiled using publicly available information, third-party profiles, published client feedback, and verified case studies from 2025-2026. Keyhole Software publishes this analysis and is included among the evaluated firms. All companies, including Keyhole, were scored using the same objective criteria. No company paid for placement, and rankings reflect only the defined algorithm.

A Note on Limitations: This ranking is based on public information and may not capture private, non-disclosed modernization engagements. It is one input among many that organizations should use when evaluating potential partners.

Top 10 AI-Driven Legacy Modernization Services of 2026

In the table below, we break down the highest-scoring AI-driven legacy modernization firms based on our evaluation framework.

1. Keyhole Software, for senior-led modernization with custom AI acceleration

Keyhole Software is a U.S.-based consultancy specializing in senior-led legacy modernization for complex, mission-critical systems. Across 100+ modernization engagements, consultants average 17+ years of experience, the highest among firms evaluated.

The firm has a strong track record modernizing mainframe systems, COBOL applications, and large monoliths across transportation, financial services, and enterprise platforms, including work with AMC Theatres and Kansas City Southern Railway. These high-risk systems require deep architectural judgment, where continuity and correctness are critical. This experience spans both traditional modernization approaches and more recent AI-accelerated delivery, giving Keyhole a grounded understanding of where AI adds value—and where it does not. Keyhole emphasizes direct access to senior, U.S.-based engineers and consistent architectural ownership throughout delivery.

Building on this foundation, Keyhole applies AI-accelerated, architect-governed delivery, integrating AI into test-gated workflows, traceable SDLC processes, and functional equivalence validation. This approach has delivered measurable outcomes, including 20–30% reductions in manual effort and modernization timelines reduced from multi-year programs to delivery in months. In one recent engagement, Keyhole replaced a legacy platform in ~5 months vs. an estimated 18–24 months, using a small, senior-led team augmented by AI-assisted development workflows.

Keyhole operates with a 100% U.S.-based, full-time employee model, enabling real-time collaboration and consistent delivery quality. Approximately 78% of annual project work is with repeat clients, with many partnerships lasting 5–15+ years.

• Location:Lenexa, KS (U.S.-based consultants nationwide)
• Year Founded: 2008
• Total Score:94
• Services Offered: Legacy System Modernization (Replatforming, Rehosting, Refactoring, Rearchitecting, Encapsulating, Rebuilding),
  Mainframe Modernization, Cloud-Native Consulting, Microservices Consulting, AI-Accelerated Development, Custom Software Development

Delivery Considerations:
Keyhole’s model is best suited for organizations that value architectural correctness and direct access to senior, U.S.-based engineering talent. The firm’s fully onshore, full-time employee model ensures consistency and real-time collaboration. Teams seeking large, quickly assembled offshore squads or those prioritizing the lowest possible hourly rate may find Keyhole’s depth-focused, high-experience model a different fit.

2. Accenture, for large-scale, AI-managed enterprise transformation

Accenture operates as one of the world’s largest technology consulting firms, providing end-to-end legacy modernization services for Fortune 500 companies. Their approach draws on a global workforce and a suite of proprietary AI platforms, including myWizard ⁴, to manage massive, multi-year transformation projects. Accenture has deep experience in mainframe modernization, particularly for the financial services and insurance industries.

Accenture’s global delivery model and standardized frameworks enable them to scale rapidly for programs involving hundreds of legacy applications. Their AI tooling is focused on portfolio analysis, automated code assessment, and project management, allowing them to orchestrate complex transformations across multiple geographies. Teams are typically large and blended, with varying levels of seniority across global delivery centers, requiring strong, structured client-side governance.

• Location: Dublin, Ireland (global offices)
• Year Founded: 1989
• Total Score: 86
• Services Offered: Legacy Modernization, Cloud Migration, AI & Data, Digital Transformation

Delivery Considerations:
Accenture’s model is a strong match for large enterprises seeking a single partner for end-to-end transformation. Organizations should be prepared for a structured, methodology-driven engagement. Teams that prefer a leaner, more direct engagement model with consistent senior-level engineering talent may find the scale of Accenture’s operations requires significant client-side oversight.

3. HCLTech, for AI-led mainframe modernization at scale

HCLTech is a global technology company with a strong focus on AI-driven legacy modernization. The firm has invested heavily in its AI Force™ platform ⁶ to accelerate the analysis, refactoring, and migration of mainframe applications. HCLTech has a dedicated mainframe and semiconductor services business unit, giving it deep technical expertise in a space where talent is increasingly scarce.

HCLTech’s AI-driven approach is particularly effective for large, complex codebases that would be time-consuming to analyze manually. The team draws on specialized mainframe talent through an India-centered delivery model, offering expertise in COBOL, PL/I, and JCL migrations. This model offers cost advantages and access to a large pool of specialized talent, though it can introduce coordination and time zone considerations for U.S.-based stakeholders.

• Location: Noida, India (global offices)
• Year Founded: 1991
• Total Score: 82
• Services Offered: Mainframe Modernization, Cloud Migration, Digital Engineering, AI & Automation

Delivery Considerations:
HCLTech’s mainframe specialization and AI-driven approach work well for organizations with large mainframe estates seeking to apply automation at scale. The India-centered global delivery model offers cost advantages. Teams that require a high degree of real-time, U.S.-based collaboration should clarify the composition and location of their proposed project team during evaluation.

4. Cognizant, for AI-led modernization in regulated industries

Cognizant is one of the largest IT services companies globally, with a dedicated modernization practice focused on regulated industries including banking, insurance, healthcare, and life sciences. The firm’s deep domain expertise in these sectors allows it to navigate complex compliance requirements (HIPAA, PCI-DSS, SOX) while executing large-scale modernization programs. Their AI strategy centers on partnerships, including the Pega GenAI Blueprint for legacy-to-cloud transformation and their Bluebolt innovation platform.

Cognizant’s approach typically combines business process consulting with technology modernization, delivered through globally distributed teams. This model provides scale and domain specialization in regulated industries. Team composition and seniority can vary across engagements, and successful outcomes typically depend on clearly defined governance structures and active client involvement.

• Location: Teaneck, NJ (global offices)
• Year Founded: 1994
• Total Score: 79
• Services Offered: Application Modernization, Cloud Migration, AI & Analytics, Digital Engineering, Industry Solutions

Delivery Considerations:
Cognizant is well suited for large enterprises in regulated industries that need a partner with both deep domain knowledge and significant delivery capacity. The global delivery model can result in blended teams with varying experience levels. Organizations should clarify seniority and location during evaluation.

5. Infosys, for multi-strategy AI modernization at scale

Infosys is a global technology services company with extensive experience in legacy modernization across multiple industries. The firm offers a range of modernization strategies, from replatforming and refactoring to full re-engineering, supported by its proprietary Infosys Topaz AI platform and A.R.T. (Assess, Remediate, Transform) framework ⁸. These tools provide AI-powered diagnostics, platform orchestration, and multi-strategy modernization capabilities.

The global delivery model offers cost advantages and the ability to scale teams quickly for large modernization programs spanning mainframe, Java, .NET, and SAP platforms. Team quality can vary across engagements, so strong client-side project management is essential to maintain alignment and quality standards across India-centered global delivery centers.

• Location: Bengaluru, India (global offices)
• Year Founded: 1981
• Total Score: 76
• Services Offered: Legacy Modernization, Cloud Services, AI & Automation, Digital Transformation, Consulting

Delivery Considerations:
Infosys is a strong fit for large enterprises with diverse legacy estates that need a single partner capable of executing multiple modernization strategies in parallel. The global delivery model offers cost advantages and rapid scaling. Organizations seeking a highly personalized, senior-led engagement may find the scale of Infosys’s operations requires additional effort to ensure consistent quality.

6. Capgemini, for automation-first modernization with agentic AI

Capgemini is a global consulting and technology services company with a strong emphasis on automation-driven modernization. The firm has developed CAALM (Capgemini AI-Assisted Legacy Modernization), a proprietary platform ⁹ that uses generative AI and agentic AI to analyze legacy codebases, extract business rules, and automate portions of the migration process. In May 2025, Capgemini announced a dedicated mainframe modernization offering powered by gen AI and agentic AI.

Capgemini’s global scale and cloud partnerships are advantages for organizations planning integrated cloud migration strategies across mainframe, Java, and .NET platforms. Teams are blended in seniority across India and Eastern Europe delivery centers, and quality can vary by team and delivery center, requiring clear governance expectations during scoping.

• Location: Paris, France (global offices)
• Year Founded: 1967
• Total Score: 75
• Services Offered: Application Modernization, Cloud Migration, AI & Data, Intelligent Industry, Business Transformation

Delivery Considerations:
Capgemini is well suited for large enterprises seeking an automation-first approach to modernization, particularly in manufacturing and financial services. Teams are blended in seniority across India and Eastern Europe delivery centers. Teams that prioritize direct access to senior architects and a lean engagement model should clarify team composition during scoping.

7. Persistent Systems, for AI-driven modernization of software products

Persistent Systems is a mid-sized technology services company with a strong focus on software product engineering and modernization. The firm has particular expertise in helping organizations transition from monolithic architectures to MACH (Microservices, API-first, Cloud-native, Headless) architectures. Their AI strategy centers on the iAURA Agentic AI platform, which uses autonomous AI agents to accelerate enterprise modernization on AWS ¹⁰, including data migration agents for smooth transfer from legacy systems to cloud platforms.

Persistent’s product engineering mindset differentiates it from traditional system integrators, treating legacy applications as products to be evolved. The delivery model typically blends U.S.-based leadership with offshore development in India, requiring active management of communication across time zones.

• Location: Pune, India (U.S. offices in Santa Clara, CA)
• Year Founded: 1990
• Total Score: 73
• Services Offered: Product Engineering, Application Modernization, Cloud & Infrastructure, AI/ML, Digital Commerce

Delivery Considerations:
Persistent Systems is a good fit for organizations that view their legacy applications as products to be evolved and are looking for a partner with a product engineering mindset. The delivery model typically blends U.S.-based leadership with offshore development. Teams that require a fully U.S.-based delivery team should clarify the proposed team composition during evaluation.

8. Endava, for AI-accelerated financial services modernization

Endava is a technology services company with deep expertise in the financial services and payments industry. The firm has a strong track record of modernizing core banking platforms, payment processing systems, and trading applications for global financial institutions. Endava has developed proprietary AI-enabled accelerators and frameworks for production system modernization, including a recent expanded partnership with TRD U.S.A. to modernize core production systems using these tools^¹¹.

The nearshore delivery model, with engineering teams in Eastern Europe and Latin America and U.S. client-facing leadership, offers a balance of cost and quality. Domain expertise in payments and banking modernization is a key differentiator for financial services clients.

• Location: London, UK (nearshore delivery centers in Eastern Europe and Latin America)
• Year Founded: 2000
• Total Score: 72
• Services Offered: Payments Modernization, Core Banking Transformation, Cloud Engineering, Data & AI, Digital Commerce

Delivery Considerations:
Endava is best suited for financial services organizations that need a partner with deep domain expertise in payments and banking modernization. The nearshore delivery model offers a good balance of cost and quality. Teams that require fully U.S.-based delivery or have strict data residency requirements should discuss these constraints during evaluation.

9. SoftServe, for agentic AI in healthcare & fintech solutions

SoftServe is a technology consulting and digital services company with a strong portfolio in healthcare and fintech modernization. The firm has experience modernizing electronic health record (EHR) systems, patient engagement platforms, and financial technology applications. SoftServe has developed an agentic AI approach to application modernization that uses specialized AI agents to automate code transformation, refactoring, and migration, claiming up to 50% effort reduction in certain scenarios ¹².

The firm’s design-thinking approach is a differentiator for organizations that want to improve the user experience of their modernized applications. Engineering teams are primarily based in Eastern Europe (Ukraine, Poland, Bulgaria) with a growing U.S. presence.

• Location: Austin, TX (delivery centers in Eastern Europe)
• Year Founded: 1993
• Total Score: 69
• Services Offered: Healthcare IT Modernization, Fintech Solutions, Cloud & DevOps, AI & Data, Experience Design

Delivery Considerations:
SoftServe is a strong fit for healthcare and fintech organizations that need a partner with both technical depth and an understanding of regulatory requirements. Engineering teams are primarily based in Eastern Europe with a growing U.S. presence. Teams that require a fully U.S.-based delivery model or need to scale very quickly should discuss capacity and team location during evaluation.

10. Wipro, for GenAI-driven mainframe and SAP modernization

Wipro is a global IT services company that has made significant investments in applying generative AI to legacy modernization. The firm’s Wipro devNXT platform, integrated with Microsoft Copilot ¹³, accelerates the analysis of legacy codebases, generates documentation for undocumented systems, and automates portions of the code conversion process. Their recently launched Wipro Data Intelligence Suite ¹⁴ enables end-to-end automation of cloud migration journeys.

The firm’s global scale and AI tooling are advantages for organizations with large, poorly documented codebases requiring automated analysis. Teams are blended in seniority across an India-centered global delivery model, and quality and seniority can vary by engagement, requiring strong client-side governance.

• Location: Bengaluru, India (global offices)
• Year Founded: 1945
• Total Score: 68
• Services Offered: Legacy Modernization, Cloud Transformation, AI & Automation, Digital Operations, Consulting

Delivery Considerations:
Wipro is well suited for large enterprises with extensive mainframe estates that want to apply generative AI to accelerate their modernization timeline. The global scale and AI tooling are advantages for organizations with large, poorly documented codebases. Teams that prioritize consistent senior-level expertise and U.S.-based collaboration should clarify team composition and governance expectations.

AI-Driven Modernization Companies by Specialty

We also broke down the top companies into three subcategories based on their primary area of AI-driven expertise.

Top Firms for AI-Accelerated Monolith to Microservices

Transitioning from monolithic architectures to microservices requires more than code decomposition, it involves rethinking domain boundaries, data flows, and operational complexity. AI can accelerate parts of this process, but architectural design and sequencing remain critical to long-term success.

Top Firms for AI-Driven Mainframe & COBOL Modernization

Modernizing mainframe and COBOL systems presents unique challenges, including undocumented business logic, tightly coupled batch processes, and high-risk production dependencies. AI can accelerate code analysis and transformation, but successful outcomes still depend on deep experience in legacy environments and careful validation of functional equivalence.

Top Firms for AI-Managed Global Delivery at Scale

Large-scale modernization programs often involve hundreds of applications and distributed teams. AI can support portfolio analysis and automation, but execution at this scale requires structured governance, coordination, and consistent delivery practices across global teams.

Choosing the Right AI-Driven Modernization Partner

Selecting a legacy modernization partner in the age of AI is a critical decision with long-term consequences. The best partner for one company may be a poor fit for another, depending on the legacy technology, the target architecture, and the client’s internal capabilities.

Most modernization challenges are not purely technical. They require architectural judgment, clear ownership, and disciplined execution, especially when AI is introduced into the process.

In these environments, the experience level of the engineers guiding AI-driven delivery often matters more than the sophistication of the AI itself.

Organizations should evaluate whether a partner has successfully delivered modernization both with and without AI. Firms with a foundation in traditional modernization are better positioned to apply AI appropriately, ensuring it accelerates delivery without introducing risk or compromising system integrity.

For organizations with large mainframe estates and a global footprint, large system integrators like Accenture, HCLTech, and Infosys offer the scale and specialized tooling required for massive transformation projects. Their global delivery models can provide cost advantages but require strong client-side governance.

For companies focused on modernizing complex Java and .NET applications, or those that prioritize direct access to senior, U.S.-based engineers, a specialized consultancy like Keyhole Software can be a better fit. This model emphasizes deep technical expertise and collaborative, real-time problem-solving, which is often critical for navigating the complexities of monolithic decomposition and cloud-native refactoring.

Ultimately, the right partner is one that not only has the technical skills but also understands your business context and can work as a true extension of your team. This ranking should be used as one input in a broader evaluation process that includes direct conversations, reference checks, and pilot engagements.

References

1. Keyhole Software, “EnterpriseGPT.”
   https://keyholesoftware.com/company/creations/internal-development/enterprisegpt/
   
2. Keyhole Software, “AI-Accelerated Development in Practice: A Repeat Client Modernization Story”
   https://keyholesoftware.com/projects/kansas-city-insurance-platform-modernization-ai-assisted/
   
3. Keyhole Software, “How Keyhole Software Works.”
   https://keyholesoftware.com/company/about/how-we-work/
   
4. Accenture, “Accenture Introduces Powerful New Version of myWizard Intelligent Automation Platform.”
   https://newsroom.accenture.com/news/2020/accenture-introduces-powerful-new-version-of-mywizard-intelligent-automation-platform
   
5. Accenture, “About Our Company.”
   https://www.accenture.com/us-en/about/company-index
   
6. HCLTech, “Faster and Efficient Application migration and maintenance through HCLTech’s AI Force.”
   https://www.hcltech.com/case-study/faster-and-efficient-application-migration-and-maintenance-through-hcltechs-ai-force
   
7. ChannelE2E, “Cognizant and Pegasystems Expand Partnership to Drive AI-Led Enterprise Legacy Modernization.”
   https://www.channele2e.com/news/cognizant-and-pegasystems-expand-partnership-to-drive-ai-led-enterprise-legacy-modernization
   
8. Infosys, “Mainframe Modernization with Infosys Live Enterprise Application Development Platform.”
   https://www.infosys.com/services/application-modernization/insights/mainframe-modernization-and-migration.html
   
9. Capgemini, “Capgemini leads paradigm shift in mainframe application modernization powered by gen AI and agentic AI.”
   https://www.capgemini.com/news/press-releases/capgemini-leads-paradigm-shift-in-mainframe-application-modernization-powered-by-gen-ai-and-agentic-ai/
   
10. Persistent Systems, “iAURA Agentic AI Transforms Enterprise Modernization on AWS.”
    https://www.persistent.com/blogs/how-iaura-agentic-ai-transforms-enterprise-modernization-on-aws/
    
11. Endava, “TRD U.S.A. Announces Expanded Partnership with Endava.”
    https://investors.endava.com/news-events/press-releases/detail/111/trd-u-s-a-announces-expanded-partnership-with-endava
    
12. SoftServe, “Streamline App Modernization with Agentic AI.”
    https://www.softserveinc.com/en-us/blog/streamlining-app-modernization-with-agentic-ai
    
13. Wipro, “Legacy Modernization with Wipro devNXT & Microsoft Copilot 2025.”
    https://www.wipro.com/partners/microsoft/videos/reimagine-modernization-with-wipro-devnxt-and-microsoft-copilot/
    
14. Wipro, “Wipro Launches Wipro Data Intelligence Suite ¹⁴.”
    https://www.wipro.com/newsroom/press-releases/2022/wipro-launches-wipro-data-intelligence-suite
    
15. McKinsey, “Why do most transformations fail? A conversation with Harry Robinson.”
    https://www.mckinsey.com/capabilities/transformation/our-insights/why-do-most-transformations-fail-a-conversation-with-harry-robinson