Introduction

In a world where digital transformation is no longer optional but essential, organizations are increasingly turning to cloud adoption as a competitive imperative. Yet, merely lifting and shifting workloads to a cloud provider is not enough. The challenge lies in crafting migration strategies that not only reduce risk and cost, but also lay the foundation for AI/ML, analytics, agility, and future innovation.

Hexaware Technologies positions itself as a leader in this domain, offering a blend of domain expertise, cloud-native engineering, and AI-powered accelerators. Their Cloud Modernization & Migration practice (part of Hexaware’s Cloud Services) helps enterprises transition from legacy/on-prem systems to efficient, scalable cloud ecosystems. (Hexaware)

In this blog, we delve deep into Hexaware’s approach, differentiators, success stories, challenges, and an AI-centric lens to cloud migration. We’ll walk through strategies, phases, real client examples, FAQs, and prompts for decision-makers considering cloud migration.

Why Cloud Migration Matters 

Before exploring Hexaware’s offerings, it’s useful to reflect on why organizations migrate to cloud — and why AI elevates the stakes.

Key Drivers

1. Cost optimization & TCO reduction
   Many enterprises carry heavy fixed costs in on-prem datacenters. Cloud allows right-sizing, pay-as-you-go, and scaling.
2. Scalability & elasticity
   Cloud enables dynamic scaling of compute/storage, which is essential for bursty workloads, especially in analytics/AI scenarios.
3. Agility, faster time-to-market
   New capabilities, microservices, APIs, serverless functions can be spun up faster in cloud environments than in legacy stacks.
4. Data & analytics / AI enablement
   To run modern AI/ML, data must be available, integrated, and in native cloud formats (e.g. data lakes, cloud warehouses). Cloud enables unified data estates, real-time pipelines, and scalability.
5. Resilience, reliability & global reach
   Multi-region, disaster recovery, high availability configurations become easier to manage in cloud environments.
6. Technical debt mitigation & modernization
   Re-engineering legacy monoliths, refactoring, adopting microservices, containerization, and event-driven patterns becomes easier on cloud.

With AI/ML workloads, cloud migration is not just migrating compute — it’s also transforming data pipelines, storage, model training and inference infrastructure, and monitoring. This necessitates a migration partner that understands both infrastructure and AI.

Top 20 Cloud Migration Companies

Hexaware’s Cloud Migration & Modernization Offering

Overview

Hexaware’s Cloud Modernization & Migration Services (under its Cloud Services umbrella) combines advisory, migration, modernization, and managed services to deliver sustainable, scalable cloud ecosystems. (Hexaware)

From their service page:

“Hexaware’s cloud modernization and migration services empower you to meet future challenges today, ensuring seamless transitions and sustainable growth.” (Hexaware)

They further offer application modernization, reengineering, microservices, API-first strategies, and containerization as part of cloud journeys. (Hexaware)

Crucially, Hexaware layers in AI / automation accelerators (notably Amaze®) to accelerate cloud and data migration with intelligence. (Hexaware)

Amaze®: Hexaware’s AI-Driven Accelerator

One of the core differentiators is Amaze® for Data & AI, Hexaware’s intelligent platform for data modernization and migration. (Hexaware)

Key features and claims:

• AI-powered code conversion and automation of complex transformations (for example converting legacy analytics code to cloud/modern frameworks) (Hexaware)
• Data pipeline automation / GenAI copilots to accelerate ingestion, validation, transformation workflows (Hexaware)
• Metadata-driven transformation, schema modernization, data quality checks and governance built-in (Hexaware)
• Rapid migrations at scale — e.g. Amaze® handles all phases from discovery to cloud-native development/migration. (Hexaware)

In practice, Hexaware uses Amaze® to support workloads such as data warehouse migration (e.g. Teradata to Azure SQL) and analytics modernization (e.g. SAS → PySpark). (Hexaware)

Thus, Hexaware does not merely lift-and-shift — it uses AI/automation to accelerate migration, reduce manual effort, and ensure data integrity.

Other Differentiators & Tools

• REVAMP program: For VMware-to-Azure assessment & migration, with Amaze automation. (Azure Marketplace)
• RapidX: A GenAI-based platform for software modernization, which an AWS collaboration will further expand. (Database Trends and Applications)
• Domain-level partnership with cloud providers (e.g. AWS) to deliver generative AI–infused migration and modernization solutions. (Database Trends and Applications)

Also, Hexaware’s Application Modernization practice integrates with migration to manage tech debt, reengineering, microservices and API-first architectures. (Hexaware)

They also provide Next-Gen Application Managed Services so that after migration, operations, monitoring, support, and continuous evolution are possible. (Hexaware)

Finally, Hexaware publishes guidance (blogs, checklists, whitepapers) reflecting their methodology and industry best practices. (e.g. “5 Step Cloud Guide”) (Hexaware)

Hexaware’s Cloud Migration Methodology / Phases

Based on Hexaware’s resources (blogs, whitepapers, case studies), one can piece together a migration methodology. Below is a synthesized 7-step model aligned with Hexaware’s stance, enriched with AI/automation layers.

7-Step Cloud Migration Framework

Phase	Purpose / Activities	AI / Automation Enabler
1. Discovery & Assessment	Inventory applications, servers, dependencies, network, data footprint; assess readiness, risk, cost.	Amaze® discovery modules, automated dependency mapping, intelligent scanning
2. Planning & Strategy	Define cloud migration strategy, choose target cloud(s), determine migration paths (rehost, refactor, rearchitect, replace).	Automated scoring, decision models, scenario simulation
3. Pilot / PoC	Migrate a subset workload to validate assumptions, pipeline, security, performance.	Auto-deployment, test harness, validation scripts
4. Migration / Execution	Execute migration for full workloads, data, middleware, integration.	Auto code conversion, pipeline orchestration, data validation, rollback mechanisms
5. Modernization / Refactoring	Rearchitect or refactor parts of the application to adopt cloud-native patterns, microservices, containers.	Code transformation, microservice scaffolding, containerization support
6. Validation & Testing	Functional, performance, security, integration, data integrity testing after migration.	Automated test suites, AI-based anomaly detection
7. Operate, Optimize & Govern	Post-migration optimization, cost governance, monitoring, CI/CD, ongoing enhancements.	Automatic cost insights, autoscaling, model monitoring, continuous optimization

Hexaware also emphasizes cloud modernization strategies (not just migration)—that is, after migrating, enterprises continuously evolve their cloud-native capabilities. (Hexaware)

Hexaware’s blog “What is Cloud Migration? How to Make a Rapid Move to the Cloud” describes the steps and emphasizes speed and minimal disruption. (Hexaware)

Another relevant blog is “5 Step Cloud Guide: A Successful On-premises to Cloud Migration,” which outlines assessment, planning, migration, optimization and management phases. (Hexaware)

Hexaware also publishes an Essential Cloud Migration Checklist to ensure no step is missed. (Hexaware)

In Hexaware’s Cloud Migration brochure, they explicitly say:

“Amaze® covers the major phases of cloud migration – from discovery through assessment to lift & shift, from refactoring to cloud-native development.” (Hexaware)

Thus, the methodology is well-supported by their proprietary tooling and automation.

Use Cases & Case Studies: Cross-Industry Examples

To ground the above in real deployments, here are several Hexaware cloud migration / modernization success stories across industries.

1. VMware → AWS Migration for Healthcare Informatics

Hexaware executed a VMware exit for a healthcare client, migrating to AWS with an accelerated 7-step approach.

“Using its seven-step process, Hexaware helped a healthcare client achieve a rapid VMware exit, ensuring improved scalability and streamlined operations on …” (Hexaware)

Though the case is focused on infrastructure migration, the scalability and modernization benefits enabled further analytics and innovations.

2. Financial Firm TCO Reduction

A U.S.-based financial client benefited from reduced total cost of ownership (TCO) via application portfolio migration, containerization, and automation:

“Hexaware accelerated the migration of their application portfolio to the cloud by re-platforming, containerizing, and enabling automation.” (Hexaware)

This directly highlights that Hexaware doesn’t just move — it modernizes during migration.

3. SAS → PySpark Modernization (Belgian Financial Institution)

In a data/analytics modernization engagement:

“With Amaze® and AI-powered code conversion, Hexaware helped a Belgian financial institution modernize SAS analytics to PySpark on Azure—achieving up to 30% …” (Hexaware)

Here, Hexaware converted legacy analytics pipelines to modern frameworks using automation, yielding higher agility and performance.

4. Teradata → Azure SQL Data Warehouse Migration

“Amaze® for Data & AI automated and accelerated the entire migration process, which was massively beneficial to the customer.” (Hexaware)

Another insurance client used Hexaware’s data migration capabilities to shift from Teradata to Azure. (Hexaware)

5. Co-Engineering Industry Data Sciences Cloud

Perhaps one of the boldest cases:

“Hexaware partnered with a global clinical research organization, migrating 98% of its workload to the cloud and co-engineering the world’s first Industry Data …” (Hexaware)

This shows Hexaware’s ability to not just migrate but build domain-specific cloud ecosystems supporting analytics, data science, and innovation. The case PDF adds detail that 15,191 servers from 20 datacenters were migrated as part of the engagement. (Hexaware)

6. Data Migration for Medicaid / Healthcare Payer

“How Hexaware transformed a major US-based Medicaid MCO’s data infrastructure with an Azure Cloud migration, achieving cost savings and efficiency.” (Hexaware)

This demonstrates successful cloud migration in the public / healthcare industry, showing breadth beyond financial and technology sectors.

These cross-industry examples (healthcare, financial services, insurance, research) illustrate that Hexaware’s migration capability is versatile and extensible.

Detailed Focus: AI & Automation in Hexaware’s Cloud Migration

Given your interest in weaving an AI angle, this section drills deeper into how Hexaware applies AI, generative models, and automation to enhance cloud migration.

AI / Automation Advantages in Cloud Migration

• Reduced manual effort & errors: Traditional migration requires vast manual mapping of dependencies, code rewrites, test scripting, etc. AI-driven tools can automate repetitive tasks, reduce human error, and speed overall delivery.
• Intelligent remediations / refactoring: Automated detection of code anti-patterns, suggestions to modernize, microservices decomposition aided by AI models.
• Predictive analytics & risk scoring: Use ML models to score application migration risk (e.g. complexity, downtime, data volume) and prioritize the low-hanging fruit.
• Autonomous data pipelines: Automatically generate ingestion, transformation, validation, and orchestration scripts, reducing time spent on hand-crafted pipelines.
• Continuous optimization post-migration: AI-based cost insights, anomaly detection, autoscaling policies, performance tuning, and model drift detection for AI workloads.
• Generative AI copilots / assistants: For cloud architects, engineers, the ability to ask prompts (e.g. “convert this stored procedure to cloud-native equivalent”) and get suggested code or scripts.

Hexaware’s Amaze® already embodies many of these capabilities. From their own description:

“Amaze® for Data and AI accelerates AI adoption by enabling data estate modernization, automating complex transformations, and building future-ready data pipelines.” (Hexaware)

“AI-powered data pipelines with Amaze® accelerate data transformation by 2x to 4x using GenAI copilots and a metadata-driven framework. They automate data ingestion, validation, and processing—eliminating manual effort and ensuring wide scale integration across databases and file systems.” (Hexaware)

In the Belgian SAS → PySpark case, Hexaware used AI-powered code conversion as part of migration. (Hexaware)

GenAI & RapidX for Software Engineering & Cloud-Native Development

Hexaware’s RapidX is a generative AI–based platform that supports modernization, cloud-native development, and generative code capabilities. The collaboration announcement with AWS further highlights this direction:

“Hexaware will help empower its customers to innovate and capitalize on real-time insights from data … Through this collaboration, Hexaware will help … deliver migration and modernization solutions faster while reducing costs for customers.” (Database Trends and Applications)

“Hexaware has been working with AWS on domain-specific generative AI solutions … The collaboration will enable us to harness the collective powers of all our service lines … to enhance digital transformations by adding a layer of ease and predictability for customers.” (Database Trends and Applications)

Thus, beyond migrating legacy systems, Hexaware is positioning itself at the intersection of generative AI, cloud, and modernization.

Integrating AI Workloads Post-Migration

One of the key design considerations in cloud migration is ensuring the target environment is AI-ready. Hexaware helps clients with:

• Data lakes & lakehouses on cloud platforms
• Cloud-native ML infrastructure: managed training and inference, autoscaling, feature store integration
• MLOps pipelines: continuous training, deployment, monitoring
• Data governance / model governance
• Hybrid / multi-cloud AI deployment

Thus, while migration is a stepping stone, Hexaware’s approach ensures that cloud environments are immediately amenable to AI and analytics.

Strategic Prompts & Decision Guidance

For an enterprise considering migrating to cloud (especially in the US, across industries), here are key prompts and decision areas to consider — with relevance to Hexaware’s capabilities.

1. Which migration strategy fits best?
   • Rehost (lift & shift) — minimal changes, fast turnaround
   • Replatform / refactor — moderate changes for cloud-native features
   • Rearchitect / rebuild — full redesign for microservices / serverless
   • Replace / retire — use SaaS or commercial products instead

2. Hexaware, via automation and AI, can support across this spectrum. Their Amaze® covers lift & shift to cloud-native transformation. (Hexaware)
3. What is the risk profile of the application portfolio?
   Use dependency mapping, complexity assessment, criticality to business operations. AI scoring of risk can help prioritize low-risk workloads first.
4. Cloud vendor / multi-cloud / hybrid strategy?
   Do you adopt one hyperscaler (AWS, Azure, GCP) or allow multi-cloud / hybrid? Hexaware’s partnerships (e.g. AWS) help in leveraging native accelerators and co-engineering. (Database Trends and Applications)
5. Data gravity & integration complexity
   Some workloads have heavy data transfer needs; deciding whether to move data first, or compute first, or use hybrid integration is essential.
6. Organizational readiness
   Skill gaps, change management, governance, security and compliance readiness must be addressed. AI tools can help with governance, but human processes matter.
7. Parallel modernization / AI enablement
   Use the migration window to modernize architecture, build pipelines for analytics/AI, retire legacy debt, and ensure the new environment is future-ready.
8. Testing strategy & rollback / fallback
   Automated testing, blue/green deployments, rollback mechanisms are critical — especially when automation accelerates speed.
9. Post-migration operations & optimization
   Cost governance, autoscaling, continuous optimization, and performance tuning need tools and frameworks. AI-based insight platforms can help.
10. Metrics and success criteria
    Define KPIs (e.g. cost savings, performance, agility gain, time to market, error rates) and track through dashboards.
11. Long-term evolution
    Migration is only the beginning; plan for continuous refactoring, feature evolution, and integration of AI/ML capabilities over time.

Hexaware’s model is well suited to help with many of these aspects, thanks to its automation and modernization focus.

 

Sample Structure: “Mix Batch” Narrative Across Industries

To adhere to your “mix-batch” requirement, here’s how one might structure a multi-industry narrative, weaving in cloud migration insights, Hexaware case references, and AI angles:

• Introduction and Context
  • Challenges across industries (retail, healthcare, finance, manufacturing)
  • Why cloud + AI is imperative

• Common Pain Points Across Industries
  • Legacy systems, technical debt, lack of agility, data silos

• Hexaware’s Cross-Industry Approach
  • Core services, tools (Amaze, RapidX, REVAMP)
  • Methodology

• Industry Snapshots & Use Cases
  • Healthcare / Life Sciences — VMware → AWS migration, data science cloud, Medicaid MCO example
  • Financial / Insurance — SAS → PySpark, Teradata migrations, application modernization
  • Retail / Consumer / E-commerce — generative AI, real-time analytics (implied via Hexaware’s AWS generative AI collaboration)
  • Manufacturing / Industrial — data modernization pipelines, IoT analytics (extrapolated)

• AI & Automation as a Unifying Thread
  • How Hexaware uses AI in each migration scenario
  • Generative AI for code, pipelines, modernization

• Best Practices / Prompts for Executives
  • Key decision questions
  • Governance, security, operations

• Risks, Challenges & Mitigation
  • Common challenges (data latency, vendor lock-in, compliance)
  • How Hexaware addresses them

• FAQ (hexaware-cloud-migration specific)

• Conclusion & Call to Action
  • Why choose Hexaware
  • Contact / cloud migration service page

Hexaware’s Proposition: What Sets It Apart

1. AI & Automation First
   Unlike traditional migration firms that rely heavily on manual effort, Hexaware embeds AI and automation as core enablers (via Amaze®, RapidX). This reduces manual toil, accelerates delivery, and valorizes human effort.

2. Full-Stack Modernization Mindset
   Hexaware doesn’t stop at migration — modernization (refactor, rearchitect, microservices, API-first) is integral. Their Application Modernization practice works in tandem with migration efforts. (Hexaware)

3. Scalability & Repeatability
   Their migration methodologies and automation enable scalability, enabling organizations to migrate large portfolios with minimal disruption.

4. Cloud Partnerships & Generative AI Focus
   Their collaboration with AWS to develop RapidX and generative AI–powered transformations demonstrates a forward-looking approach. (Database Trends and Applications)

5. Cross-Industry Experience
   The case studies show successful migrations in sectors such as healthcare, financial services, research, and public health. This breadth gives Hexaware nuanced domain sensitivity.

6. End-to-End Services
   From advisory, assessment, migration, modernization, to managed services post-migration, Hexaware covers the full lifecycle. (Hexaware)

7. Proprietary Tools & Accelerators
   Amaze®, REVAMP, RapidX, and others provide repeatable, tested, and automated scaffolding for migrations — reducing risk and time.

Cross-Industry Use Cases & Narratives

Healthcare & Life Sciences

• VMware → AWS Migration for Healthcare Informatics
  Using their seven-step migration process, Hexaware enabled a rapid data center exit and deployment to AWS, improving scalability and streamlined operations. (Hexaware)

• Industry Data Sciences Cloud (Clinical Research Org)
  Hexaware co-engineered a domain-specific cloud environment: migrating 98% of workloads to cloud, building analytics and data science ecosystems tailored to the healthcare domain. (Hexaware)

• Medicaid MCO (US Healthcare Payer)
  By migrating the data infrastructure to Azure, Hexaware delivered cost savings and improved efficiency for a major Medicaid managed care organization. (Hexaware)

These examples highlight that even highly regulated, data-sensitive sectors like healthcare can migrate and modernize confidently when assisted by robust frameworks, domain understanding, and AI-powered tooling.

Financial Services & Insurance

• SAS → PySpark Analytics Conversion
  A Belgian financial institution leveraged Hexaware’s AI-driven conversion tools to migrate legacy SAS analytics pipelines to modern PySpark on Azure, achieving performance gains and a more scalable architecture. (Hexaware)

• Teradata to Azure SQL DW Migration
  Another insurance client used Amaze® to automate and accelerate a migration of its data warehouse, simplifying operations and reducing data engineering overhead. (Hexaware)

• TCO Reduction via Application Cloud Migration
  For a U.S. financial services firm, Hexaware re-platformed, containerized, and automated its application portfolio migration, reducing cost and boosting agility. (Hexaware)

These cases illustrate how migration can be leveraged not just as a cost exercise, but a modernization step for analytics, real-time processing, and modular architectures.

Retail / Consumer, Manufacturing, and Others

While not all Hexaware case studies point explicitly to retail or manufacturing, their cloud / generative AI partnership (e.g. with AWS) implies applicability in retail analytics, customer experience, supply chain, and omnichannel systems. (Database Trends and Applications)

Furthermore, the architectural and data migration foundations Hexaware builds can be extended into manufacturing IoT, predictive maintenance, demand forecasting, and real-time dashboards.

Challenges & Mitigation Strategies

Migrating to cloud (especially with AI workloads) comes with inherent challenges. Below are common ones and how Hexaware addresses them.

Challenge	Risk	Hexaware / Mitigation Approach
Data volume and transfer / bandwidth constraints	Long migration windows or cost overruns	Phased data migration, network optimization, parallel pipelines, WAN accelerators, delta migrations
Application dependencies & compatibility	Failures or functional regressions	Dependency mapping, sandbox testing, automated regression tests, rollbacks
Regulatory / compliance / data privacy	Noncompliance in regulated sectors	Region-aware architecture, data masking, encryption, audits, governance frameworks
Skill gaps in internal teams	Reliance on external vendor over time	Knowledge transfer, co-pilot tools (RapidX), automation reduces manual burden
Cost overruns / uncontrolled cloud sprawl	Overprovisioning, idle resources	Cost governance dashboards, autoscaling, tagging, continuous monitoring
Vendor lock-in risk	Hard dependencies on cloud-specific services	Multi-cloud / hybrid architecture, abstraction layers, portability planning
Disruption during migration	Business continuity risk	Blue/green deployment, canary releases, fallback plans, robust testing
Post-migration performance / tuning	Unexpected latency, scalability bottlenecks	Monitoring & observability, automated tuning, auto-scaling, AI-based anomaly alerts

Hexaware’s automation and domain experience help reduce many of these risks, and their managed services arm ensures ongoing optimization beyond just the migration window.

Best Practices & Executive Prompts

Here’s a curated checklist / decision guide for organizations embarking on cloud migration — with prompts specifically to evaluate Hexaware as a partner.

1. Define clear business outcomes
   What is your primary goal? Cost savings, agility, AI enablement, modern architectures, global scalability?

2. Prioritize workloads
   Start with less risky, lower complexity workloads to establish confidence and patterns before tackling mission-critical systems.

3. Assess current estate with AI tools
   Use automated inventory, dependency mapping, risk scoring tools (like those Hexaware provides) to baseline.

4. Choose migration paths carefully
   Not everything needs a lift-and-shift. Decide which parts to refactor, rearchitect, retire, or replace.

5. Embed modernization & AI enablement from day one
   Don’t just lift — plan for microservices, event-driven architectures, analytics pipelines, feature stores, and ML infrastructure.

6. Adopt generative AI assistants / coders
   Use platforms like RapidX to accelerate development, code modernization, and developer productivity.

7. Testing & validation strategy must be automated
   Regression, performance, security — all must be part of CI/CD and automated validation loops.

8. Governance, cost management & tagging
   Enforce policies, tagging, rightsizing, alerting to control cloud cost and drift.

9. Plan for continuous optimization & evolution
   Migration is a milestone — continuous innovation is the journey. Use AI to monitor, tune, scale, and evolve.

10. Measure success with KPIs
    Monitor cost savings (vs baseline), deployment velocity, defect rates, performance, utilization, and AI model performance over time.

When evaluating, consider probing:

• How much of the migration is automated (vs manual)?
• How does Ama­ze® (or other accelerators) function end-to-end?
• How are risk, dependency, rollback, and fallback handled?
• What kind of support is provided post-migration?
• How does Hexaware partner with cloud providers (AWS, Azure, GCP)?
• What domain-specific precedents do they have in your industry?

FAQs

Q1. What is Hexaware’s approach to migrating large, complex portfolios?
Hexaware uses a phased, scalable methodology augmented by automation. Its tools and frameworks (Amaze®, REVAMP) enable the migration of hundreds of servers per month (for example in VMware → Azure migrations). (Azure Marketplace)

Q2. How does Hexaware ensure data integrity and minimize downtime during migration?
Hexaware uses automated validation, parallel synchronization, phased cutovers, rollback strategies, blue/green and canary patterns, and checks at each stage to validate data consistency.

Q3. Does Hexaware support hybrid or multi-cloud migration strategies?
Yes, Hexaware supports hybrid architecture and helps clients adopt multi-cloud or cloud-agnostic designs, reducing vendor lock-in and enabling flexibility.

Q4. How does Hexaware handle security, compliance, and regulatory needs?
They incorporate governance, encryption, masking, access controls, audit trails, and compliance checks as part of migration pipelines. Domain-specific compliance (HIPAA, GDPR, etc.) is handled in industry engagements.

Q5. Can Hexaware migrate analytics / BI / AI workloads, not just applications?
Absolutely — Hexaware’s Amaze® platform focuses on data modernization. A concrete example is migrating SAS to PySpark analytics for a financial institution. (Hexaware) They also migrate data warehouses (e.g., Teradata to Azure) with automation. (Hexaware)

Q6. How is Hexaware’s migration different from lift-and-shift vendors?
Hexaware’s differentiation is in automating transformations, modernization, AI-enablement, and embedding future-ready architecture post-migration. The quote from their Cloud Migration brochure:

“Amaze® covers the major phases of cloud migration – from discovery through assessment to lift & shift, from refactoring to cloud-native development.” (Hexaware)

Q7. What is Hexaware’s partnership with cloud hyperscalers?
They collaborate with AWS (for RapidX, generative AI, migration acceleration) and participate in cloud-native certification and funding programs. (Database Trends and Applications)

Q8. After migration, who handles ongoing operations and optimization?
Hexaware’s NextGen Application Managed Services manages operations, monitoring, performance tuning, and continuous enhancements. (Hexaware)

Q9. What kind of ROI / benefits can clients expect?
Reported benefits include cost reduction, improved agility, elimination of technical debt, faster delivery, scalable and resilient systems, and AI-readiness. For example, a US financial client achieved TCO reduction via containerization and automation. (Hexaware)

Q10. What industries has Hexaware proven success in for cloud migration?
Hexaware has delivered migrations for healthcare, financial services, insurance, research / life sciences, public health / government, and implied support for retail/manufacturing through its technology and domain approach.

Prompts / Call to Action

Want to explore how Hexaware can help your organization migrate to the cloud with AI-savvy automation? Consider these next steps:

• Request a Cloud Readiness Assessment using Hexaware’s discovery and scoring tools
• Run a pilot / PoC on a non-critical workload to validate performance, security, and automation
• Ask for a demo of Amaze® and RapidX to see AI-powered code conversion, pipeline generation, and cloud orchestration in action
• Engage in a proof-of-value migration to test end-to-end migration, refactoring, and modernization
• Download Hexaware’s whitepapers / PDFs (for example, their Cloud Migration Brochure) (Hexaware)

You can sign up or contact via Hexaware’s Cloud Migration & Modernization Services page:
Hexaware Cloud Modernization & Migration Services (Hexaware)

Conclusion

Cloud migration today is about more than simply moving workloads. It’s about enabling an enterprise to evolve: to build better architectures, integrate analytics, deploy AI/ML, scale with demand, and continuously innovate.

Hexaware’s approach — combining domain experience, full-stack modernization, and AI-powered automation — positions it as a compelling partner. Their case studies across healthcare, financial services, research, and Medicaid underscore that they can deliver in highly regulated, data-sensitive domains.

By embedding AI and automation (via Amaze®, RapidX, REVAMP) into the migration lifecycle, Hexaware not only accelerates delivery but also helps clients step into the future with a secure, scalable, AI-ready cloud foundation.