AWS Consulting
- Adopt AWS with confidence, not complexity: We help your organization move beyond basic cloud migration, designing AWS architectures that align with your business priorities and deliver long-term value.
- Build AI that sees, hears, and understands: We implement multi-agent and intelligent AI systems across voice, video, audio, text, and images to power real-world applications in automation, customer experience, and intelligent operations.
- Turn data into business intelligence at scale: We build real-time data platforms using Redshift, Kinesis, EMR, Glue, and SageMaker to support enterprise-wide analytics, AI, and operational intelligence.
- Scale without overspending: Our cloud architects build elastic, high-performance environments that scale with demand while optimizing cost efficiency and resource utilization.
- Unify cloud and legacy systems without disruption: We integrate AWS seamlessly with on-prem and legacy systems using custom APIs, hybrid connectivity, and enterprise-grade network design.
- Work with certified AWS experts trusted across industries: Our team brings deep, real-world AWS experience across different industries, and high-growth startups, delivering solutions aligned with both technical and business priorities.
- Trusted by global leaders across industries: We build tech solutions for top Fortune 500s, global enterprises, and high-growth startups across sectors. Our clients include Microsoft, Google, Broadcom, Dell, Bank of America, Thomson Reuters, and more.
Amazon Web Services (AWS) stands as the most comprehensive and widely adopted cloud platform, offering over 200 services that empower organizations to modernize operations, accelerate innovation, and maintain competitive advantage. With roughly 30% of the global cloud infrastructure market and adoption among more than 76% of enterprises, AWS continues to outpace competitors like Azure and Google Cloud. But the true challenge for organizations isn’t deciding whether to adopt AWS; it’s knowing how to do it effectively.
For executives leading digital transformation initiatives, the pressure to deliver results is immense. Legacy systems, siloed teams, and a lack of cloud-native expertise can stall progress or inflate costs. Successful AWS adoption isn’t just about technical migration; it requires a clear strategy, thoughtful architecture, and the kind of executional excellence that comes from real-world enterprise experience. That’s where expert partners like Cazton come in, not just implementing AWS solutions but aligning them with your business objectives to ensure transformation delivers measurable, long-term value.
The Cost of Delaying Your Cloud Strategy
The business landscape is shifting faster than most organizations can react to. Digital expectations are rising, markets are moving at unprecedented speed, and innovation is no longer optional; it’s a survival requirement. AWS has emerged as the platform enterprises trust to meet these demands at scale. But gaining real competitive advantage with AWS requires more than just adoption. It demands strategy, execution, and the right expertise from day one.
That's where we come in. As a team of seasoned AWS consultants, architects, and strategists, we specialize in helping enterprises move beyond lift-and-shift approaches to design cloud transformations that actually drive business results. Our work spans startups, mid-market companies, and Fortune 500 enterprises, where we’ve led successful AWS implementations focused on performance, security, cost efficiency, and long-term scalability.
Treating AWS as merely a hosting provider is a critical and costly mistake. It’s a platform built for transformation, not just migration. Organizations that plan their adoption strategically, designing for agility, resilience, and scale consistently outperform those that treat cloud as an IT project. We’ve helped such clients extract AWS’s full potential by aligning technical architectures with business priorities, and by doing so, we've turned complex cloud transformations into measurable gains.
The urgency is not just about catching up; it’s about staying ahead. The cloud landscape continues to evolve rapidly. AWS maintains its leadership while competitors push innovation forward, adding layers of complexity for executive decision-makers. The key forces driving cloud adoption today include:
- Cost optimization: Traditional data centers require major capital outlays and recurring maintenance. Cloud infrastructure can reduce these costs significantly when implemented correctly.
- Business agility: Enterprises need infrastructure that can scale rapidly and support fast-paced product development without bottlenecks.
- Talent scarcity: Cloud-native expertise is in high demand but short supply. Internal teams often struggle to keep up with AWS’s rapid innovation and best practices.
- Competitive pressure: Cloud-native companies are delivering products faster and more efficiently, raising the stakes for traditional enterprises.
Every quarter without a clear AWS plan adds cost, slows innovation, and widens the gap with faster-moving competitors. At Cazton, we help design roadmaps, build secure and scalable cloud architectures, and provide the technical and strategic leadership enterprises need to succeed in AWS. Our goal is to ensure your cloud strategy becomes a source of competitive strength, not a source of complexity.
Maximizing Business Value with AWS
AWS is a highly scalable and flexible cloud computing platform. It eliminates the burden of managing physical infrastructure, giving enterprises on-demand access to computing, storage, databases, networking, analytics, security, and emerging technologies. What sets AWS apart is not only its breadth of services but also the way they seamlessly integrate to support rapid innovation and business agility. We help enterprises navigate this extensive ecosystem, ensuring the right services are selected, configured, and optimized to meet your unique goals.
Our AWS implementations are never one-size-fits-all. Instead of overwhelming your teams with unnecessary complexity, we focus on building streamlined, scalable solutions that map directly to your priorities; whether it’s reducing infrastructure costs, accelerating development timelines, or improving system resilience. The core building blocks we commonly leverage include:
- Compute: EC2 for virtual servers, Lambda for serverless workloads, and ECS/EKS for container orchestration.
- Storage: S3 for object storage, EBS for block-level storage, and Glacier for low-cost archival storage.
- Databases: RDS for managed relational databases, DynamoDB for NoSQL, and advanced options like Neptune (graph) and Timestream (time series).
- Networking: VPC for isolated cloud environments, Direct Connect for private network links, and Global Accelerator for performance optimization.
- Security: IAM for identity and access management, Shield for DDoS protection, WAF for web application firewalls, and GuardDuty for intelligent threat detection.
What truly delivers value is how these components are orchestrated to serve your business strategy. For example, a high-performance analytics solution might combine Redshift for data warehousing, S3 for storage, Glue for data integration, and SageMaker for machine learning. We architect these combinations to deliver maximum performance and business insight, without unnecessary complexity or risk. By understanding both your technical landscape and your business context, we ensure your AWS environment is built for long-term success.
Our focus is not just on implementing AWS services; it’s on accelerating outcomes. We help your teams adopt the right tools, design resilient architectures, and launch scalable, secure applications faster. Whether you're migrating legacy systems or launching new digital initiatives, we provide the expertise needed to unlock AWS's full potential with precision, clarity, and measurable value.
AWS Success Through Expert Guidance
AWS adoption at the enterprise level introduces layers of complexity that demand more than basic cloud knowledge. Legacy systems, regulatory obligations, global user bases, and strict performance standards require a tailored approach. We help enterprises succeed on AWS by aligning cloud capabilities with business priorities, mitigating risks early, and delivering results through well-architected, enterprise-grade solutions.
Our expertise addresses the most critical challenges and opportunities faced by large organizations moving to AWS:
- AI and machine learning enablement: We help you take advantage of AWS services like SageMaker, Bedrock, and AI-driven analytics to build intelligent applications, automate processes, and explore new revenue streams without the need for a massive internal data science team.
- Big data and real-time analytics: We architect scalable data platforms using services like Redshift, EMR, Kinesis, and Glue, enabling you to process massive datasets, generate real-time insights, and turn raw data into strategic action.
- Cloud architecture aligned with business goals: We design AWS environments that reflect your organization’s structure, growth plans, and operational requirements ensuring scalability, performance, and compliance from day one.
- Secure and compliant implementations: We configure AWS services to meet your industry’s regulatory frameworks, including encryption, access control, data residency, and auditability, helping you stay compliant without slowing down innovation.
- Seamless legacy integration: We develop integration strategies that connect your existing systems, data sources, and applications with AWS services preserving business continuity while unlocking the benefits of the cloud.
- Cost control and cloud governance: We implement financial management practices that prevent cost overruns, introduce accountability, and provide visibility into cloud spend, balancing agility with control.
- Organizational enablement and upskilling: We support internal teams through structured enablement, hands-on training, and DevOps coaching ensuring your organization can operate, manage, and extend its AWS environment confidently.
Enterprise cloud success is not just about deploying infrastructure; it’s about transforming how your business operates. We bring the technical depth, strategic insight, and enterprise experience required to turn AWS into a competitive advantage. By working closely with your teams, we ensure your cloud strategy delivers results that are measurable, sustainable, and aligned with your future.
Driving Growth with AI and Data at Scale
True digital transformation doesn't stop at the cloud; it starts with how intelligently an enterprise can use it. In today’s competitive landscape, artificial intelligence and large-scale data capabilities are not optional add-ons; they are central to business reinvention. Enterprises that build intelligence into their cloud foundation are not just reacting faster; they are predicting better, scaling smarter, and competing at a completely different level.
We help forward-thinking organizations turn AI and data from isolated experiments into integrated, enterprise-wide strategies securely, responsibly, and at scale.
Enterprise AI from Innovation to Intelligent Systems
Enterprise AI is evolving from singular models to intelligent ecosystems built with purpose, aligned with business needs, and designed to scale. Our approach is centered on applying AI where it delivers maximum impact across departments, functions, and customer touchpoints.
We help organizations build intelligent capabilities that go far beyond automation:
- We design and deploy custom AI assistants and chatbots tailored for specific roles, customer support, internal enablement, executive research, and more all built to adapt and improve over time.
- Our team delivers voice-first and conversational AI experiences that integrate naturally into user workflows, spanning audio, voice, images and text to meet people where they are across channels, devices, and languages.
- With AI marketing and personalization, we enable brands to craft intelligent customer journeys by automating segmentation, content creation, targeting, and behavioral predictions in real time.
- We develop and operationalize multi-agent AI systems, where autonomous agents coordinate tasks, solve problems collaboratively, and continuously refine business outcomes based on real-world feedback loops.
- For organizations experimenting with generative AI, we integrate retrieval-augmented generation (RAG) and emerging architectures like RAFT, and protocols such as MCP ensuring your models are context-aware, explainable, and grounded in enterprise data.
- We design and operationalize advanced AI evaluation frameworks that go beyond simple benchmarks ensuring your models perform reliably across accuracy, safety, fairness, and business alignment. Our eval strategy includes automated testing, human-in-the-loop feedback, and continuous performance tracking to validate impact at scale.
Turning Big Data into Velocity
Enterprises sit on vast, fragmented volumes of data, but only a small fraction can translate that data into business velocity. We help global organizations unify their data ecosystems, building platforms and pipelines that support real-time decision-making, AI enablement, and operational resilience.
Our data strategies are engineered to support enterprise complexity, scale, and urgency:
- We architect cloud-native data platforms that support both batch and streaming workloads, integrating structured and unstructured sources while ensuring enterprise-grade governance, access control, and compliance from the ground up.
- Our teams modernize the full data lifecycle from ingestion, transformation, and storage to analytics and observability. Tools like Apache Spark and Databricks are incorporated to create collaborative, high-performance environments tailored for analytics and AI development.
- We enable real-time intelligence across the enterprise by embedding event-driven architectures powered by technologies like Apache Kafka. These systems reduce latency between data creation and decision-making, giving your teams live operational visibility.
- Data governance is foundational to every implementation. We help you establish data catalogs, lineage tracking, and quality frameworks that ensure trusted, reusable data enabling compliance with internal policies and external regulations at global scale.
- For high-volume analytical workloads, we design elastic pipelines that leverage AWS-native services and integrations with tools like Hadoop and HDFS via EMR. This provides scalable infrastructure for model training, historical analysis, and long-term data processing all within cost-efficient cloud environments.
With the right data architecture, you don't just collect information; you convert it into a strategic asset. Our approach turns fragmented data into a unified, intelligent platform that accelerates business decisions, enables AI readiness, and keeps you ahead of the competition.
Case Studies
Intelligent Field Service Orchestration
- Challenge: A global energy services provider struggled with coordination between remote field agents, centralized dispatch, and engineering teams. Field staff lacked access to real-time guidance, and service documentation was scattered across outdated systems. Tasks such as diagnostics, maintenance reporting, and customer updates were often delayed due to limited connectivity and manual workflows.
- Solution: We built an intelligent field service platform powered by AI agents, natural language interfaces, and offline-first mobile apps. Agents used conversational AI and voice interfaces to guide field technicians through diagnostics and workflows. The platform integrated with AWS IoT Core for real-time equipment data and used on-device inferencing for areas with limited connectivity. Agents were backed by custom knowledge bases and retrieval-augmented generation (RAG) to provide context-specific insights.
- Business impact: Field teams completed tasks faster with fewer errors and less support. Dispatch operations became more efficient with real-time visibility and auto-generated service summaries. Customer experience improved through quicker turnaround and consistent communication.
- Tech stack: Amazon Connect, AWS Lambda, Amazon Polly, AWS IoT Core, DynamoDB, OpenAI Agents API, Voice AI Pro, AI Agents, RAFT, LangChain, MCP, Terraform, Amazon Bedrock, AWS Step Functions, Node.js, React.js, React Native.
Autonomous Financial Reconciliation and Audit Intelligence
- Challenge: A global payments company faced challenges reconciling thousands of transactions across partners, banks, and internal systems. Manual processes led to delays in reporting, untraceable variances, and audit inefficiencies. Teams spent weeks tracking anomalies and preparing compliance documentation.
- Solution: We built a serverless financial reconciliation engine that ingested and normalized transaction data across various systems. Using anomaly detection models and predefined business rules, the system flagged discrepancies, generated resolution suggestions, and automated journal entries. Every action was versioned and traceable, ensuring audit readiness.
- Business impact: Finance teams significantly reduced reconciliation time, improved accuracy, and gained faster insight into variances. Audit cycles were shortened due to automated traceability and intelligent recommendations.
- Tech stack: AWS Glue, Amazon Redshift, AWS Lambda, Amazon Aurora (PostgreSQL), Amazon S3, Amazon EventBridge, Amazon Fraud Detector, OpenAI, SQL AI Agent, LangChain, Evals, MCP, Terraform, IAM, AWS Step Functions, Amazon QuickSight.
Sustainability Intelligence and Carbon Optimization Platform
- Challenge: A multinational conglomerate with operations in manufacturing, logistics, and retail faced pressure to meet aggressive sustainability and carbon reduction goals. However, emissions data was siloed across different divisions, suppliers, and geographies. Leadership lacked a unified view of their environmental footprint or insights to drive optimization.
- Solution: We delivered a cloud-native sustainability intelligence platform that unified emissions data from IoT sensors, ERP systems, and third-party APIs. Machine learning models identified high-impact reduction opportunities, while visual dashboards surfaced actionable insights for each business unit. The solution tracked carbon impact across facilities, transport, energy consumption, and supply chain events.
- Business impact: Sustainability leaders could prioritize high-impact initiatives with real-time data. Regulatory reporting became streamlined and defensible. Business units aligned better with ESG goals through transparent metrics and guided actions.
- Tech stack: AWS IoT SiteWise, Amazon Timestream, Amazon Athena, AWS Lake Formation, Amazon SageMaker, Databricks, Apache Spark, MongoDB, AWS Lambda, Amazon S3, Amazon Managed Grafana, RAFT, PyTorch, Kubernetes, Docker, AWS Organizations.
High-Frequency Retail Pricing Optimization Platform
- Challenge: A leading e-commerce retailer struggled to dynamically adjust prices across thousands of SKUs during peak seasons and flash sales. Legacy systems couldn’t support real-time decision-making or factor in competitive pricing, inventory shifts, and promotional strategies fast enough leading to revenue loss and excess stock.
- Solution: We built a pricing optimization engine that ingested real-time sales, competitor feeds, and inventory data to generate SKU-level recommendations using custom ML models. The platform operated on an event-driven architecture with millisecond response times and included guardrails for brand consistency and profit margin protection.
- Business impact: The retailer achieved higher sell-through rates, reduced excess inventory, and improved profit margins. Pricing teams gained confidence in automation while retaining override control. Response time to market conditions dropped from hours to minutes.
- Tech stack: Amazon Kinesis Data Streams, AWS Lambda, AWS Glue, Amazon Forecast, Amazon Redshift, Amazon DynamoDB, Amazon S3, Apache Kafka, Databricks, TensorFlow, AWS Step Functions, Amazon CloudWatch, Amazon API Gateway, AWS CodePipeline, AWS WAF.
Transformation Architected for Scale
Most enterprises begin their AWS journey by migrating workloads, but the true value of AWS lies beyond simple lift-and-shift strategies. Achieving long-term success requires advanced cloud-native architectures and deep technical integration that align with your business priorities, security needs, and operational models.
At this stage, complexity increases: applications must be refactored, legacy systems integrated, and governance strengthened. We bring the architectural clarity and hands-on expertise needed to help enterprises move from fragmented cloud adoption to unified, future-ready AWS environments.
Our advanced AWS implementation and integration expertise covers:
- AI-ready infrastructure and workflows: We architect environments that support advanced AI initiatives, from generative models and intelligent assistants to real-time evaluations and multimodal applications. Our designs are optimized for context-rich, enterprise-grade deployments that integrate seamlessly with your data and operational workflows.
- Enterprise-ready data architecture: Our teams build robust data ecosystems capable of handling real-time analytics, AI enablement, and multi-source ingestion. We unify structured and unstructured data, streaming and batch pipelines, all governed by enterprise-grade access, compliance, and lineage controls.
- Cloud-native application modernization: We guide the transition from legacy monoliths to microservices architectures enabling agility, faster deployments, and continuous delivery. Whether using containers or serverless approaches, we modernize your stack with minimal operational disruption.
- Scale and performance optimization: Our architectures are designed to perform at scale supporting global delivery, high-throughput workloads, and dynamic demand. From multi-region deployments to automated scaling strategies, we ensure your infrastructure grows with your business.
- Secure by design: Security is foundational to every decision we make. We implement identity, encryption, threat detection, and automated compliance measures that evolve with your risk profile and regulatory needs embedding security into your infrastructure lifecycle.
- Seamless integration with legacy systems: From custom APIs and event-driven bridges to hybrid network design, we make your AWS environment work together with your current systems. This ensures business continuity while accelerating cloud adoption.
- Foundational architecture decisions: We help define the core structures that shape success: AWS account segmentation, network topology, IAM policies, and disaster recovery architecture. These decisions determine long-term maintainability, governance, and resilience.
Each of these capabilities is built on our experience leading complex AWS transformations across industries. Our approach is practical, adaptable, and focused on delivering measurable business outcomes.
Measuring Success and Business Impact
AWS adoption isn’t just a technical shift; it’s a business transformation. Achieving sustainable success means aligning your cloud journey with strategic priorities and embedding clear measurement frameworks that capture both operational and business impact.
We work closely with your leadership to shape AWS programs that deliver immediate value and build toward long-term transformation. Our phased approach ensures risk is managed, value is tracked, and every decision is grounded in your organization’s goals.
Our strategic AWS roadmap includes four key phases:
- Phase 1: Foundation and strategy: We begin by defining the business case, identifying transformation goals, and establishing your cloud operating model. This includes gap analysis, security planning, and setting up the core AWS environment for your landing zone for success.
- Phase 2: Initial migration and proof points: Pilot migrations validate your architecture, surface early wins, and establish patterns. We implement core services, stress-test controls, and measure early impact laying the groundwork for broader adoption.
- Phase 3: Scale and optimization: We scale migration efforts and modernize key applications. Automation and cost optimization become central, as does enabling your teams to own and extend cloud operations through structured capability building.
- Phase 4: Innovation and transformation: With the foundation in place, we unlock advanced capabilities: cloud-native development, AI and analytics integration, and transformation of core business processes. We also implement programs for continuous innovation and improvement.
Measurement Built into Every Phase
We design success metrics that track both technical execution and business value, such as:
- Time-to-market for new digital products or capabilities
- Reductions in operational overhead and process latency
- Improvements in system performance and reliability
- Increased agility in response to business change
- Enhancements in customer or employee experience
- Return on cloud investment (ROI) across use cases
These metrics go beyond infrastructure KPIs; they directly link to your organization's strategic goals.
Throughout your AWS journey, we embed governance frameworks and enable your teams through hands-on collaboration, knowledge transfer, and structured upskilling. From cost management to compliance, your organization becomes equipped to sustain and expand cloud value independently.
How Cazton Can Help You With AWS
Our approach combines deep technical capabilities with a strong understanding of business outcomes. From AI-driven innovation to secure, scalable architectures, we support organizations through every phase of their AWS journey delivering measurable impact while building internal cloud capabilities.
We tailor our services to fit your specific industry needs, existing tech stack, and transformation goals:
- Drive AI adoption with strategic implementation: We design and deploy AI solutions that include generative models, multi-agent frameworks, custom assistants, voice AI, and intelligent systems backed by enterprise-grade security and explainability.
- Unlock insights with big data platforms: We modernize your data landscape to support real-time analytics, governance, and AI training pipelines leveraging proven platforms like Databricks, Spark, Kafka, Fabric, and Hadoop in seamless integration with cloud-native services.
- Build cloud-native applications at scale: Our teams modernize legacy systems into modular, containerized, and serverless architectures, enabling agility and faster time-to-market.
- Enable large-scale migration and modernization: We manage complete migration programs from initial planning to execution, ensuring low disruption, cost efficiency, and long-term sustainability.
- Accelerate development through DevOps automation: We implement CI/CD pipelines, infrastructure as code, observability, and platform engineering practices that streamline operations and reduce deployment friction.
- Architect secure, resilient environments: Our experts design and implement layered security architectures, zero trust models, and compliance frameworks that protect sensitive workloads and ensure audit readiness.
- Integrate legacy systems and hybrid environments: We build robust APIs, enable hybrid connectivity, and establish interoperability between cloud-native systems and on-premises assets.
- Optimize costs and performance at scale: We provide cost governance strategies, resource rightsizing, and automation to maximize value and eliminate unnecessary spending.
- Deliver hands-on training and capability building: We equip your teams through workshops, documentation, and collaborative delivery ensuring they gain the skills needed to maintain and grow your cloud investments.
- Support long-term operations with managed services: We offer proactive monitoring, troubleshooting, performance tuning, and ongoing optimization for enterprise-scale cloud environments.
Our certified AWS professionals bring experience from diverse industries and complex implementation scenarios. We combine this expertise with a collaborative approach that ensures knowledge transfer and capability building throughout the engagement.
Partner with us to accelerate your AWS journey while minimizing risk and maximizing business value. Contact us today to discuss how we can help you achieve your cloud transformation goals.
Cazton is composed of technical professionals with expertise gained all over the world and in all fields of the tech industry and we put this expertise to work for you. We serve all industries, including banking, finance, legal services, life sciences & healthcare, technology, media, and the public sector. Check out some of our services:
- Artificial Intelligence
- Big Data
- Web Development
- Mobile Development
- Desktop Development
- API Development
- Database Development
- Cloud
- DevOps
- Enterprise Search
- Blockchain
- Enterprise Architecture
Cazton has expanded into a global company, servicing clients not only across the United States, but in Oslo, Norway; Stockholm, Sweden; London, England; Berlin, Germany; Frankfurt, Germany; Paris, France; Amsterdam, Netherlands; Brussels, Belgium; Rome, Italy; Sydney, Melbourne, Australia; Quebec City, Toronto Vancouver, Montreal, Ottawa, Calgary, Edmonton, Victoria, and Winnipeg as well. In the United States, we provide our consulting and training services across various cities like Austin, Dallas, Houston, New York, New Jersey, Irvine, Los Angeles, Denver, Boulder, Charlotte, Atlanta, Orlando, Miami, San Antonio, San Diego, San Francisco, San Jose, Stamford and others. Contact us today to learn more about what our experts can do for you.