At our core, we specialize in transforming your data architecture and tools to ensure seamless integration and real-time processing. Our focus is on creating secure, scalable solutions that design a centralized data ecosystem, driving efficiency and supporting future growth.

We craft governance frameworks and quality metrics to guarantee data accuracy, compliance, and integrity. By expertly managing data lifecycles and leveraging the right tools, we empower organizations to maintain high data quality and unlock valuable business insights.
Our data privacy and security framework is designed to safeguard your mission-critical information. With robust encryption, access controls, and compliance frameworks, we ensure your data remains secure while meeting all regulatory requirements.

Evaluate Landscape: We assess the landscape of data sources and integration options to provide a comprehensive understanding of your data environment. This can include any data source including common AWS Services such as AWS Data Lakes, Amazon RDS, Amazon S3, Amazon EBS, and ISVs such as Snowflake, Oracle, Databricks, and many others.

Current State Analysis: We analyze the current state and utilization of existing centralized data platforms, including data warehouses, ETL, BI tools, MLOps, and more. This includes native tools such as AWS Glue and ISVs such as Dataiku, Informatica, and many more.

Data Modeling and Virtualization: We evaluate the current state of data modeling and virtualization to identify areas for improvement. This includes native AWS Services such as Amazon Quicksight and ISVs such as PowerBI, and many more.

Business Use Case Prioritization: We identify and prioritize business use cases based on value and complexity, ensuring that your data initiatives align with strategic goals.
Mapping Data Sources: We map data sources to use cases, ensuring that your data architecture supports your business objectives efficiently and effectively.

Our comprehensive approach ensures that your organization is equipped with a robust data infrastructure, ready to meet the demands of today and the challenges of tomorrow.

Our service is dedicated to transforming your data architecture and tools to ensure seamless integration and real-time processing. We focus on creating secure, scalable solutions that design a centralized data ecosystem, driving efficiency and supporting future growth.  MVP Data 

Platform in Production: Launch your MVP data platform into production, setting the stage for seamless data integration and real-time processing to drive your business forward.
Business Use Cases for Digital Outcomes: Implement 1-2 business use cases that focus on achieving specific digital outcomes, leveraging data insights to enhance decision-making and innovation.

We specialize in designing governance frameworks and quality metrics to guarantee data accuracy, compliance, and integrity. By expertly managing data lifecycles and leveraging the right tools, we empower organizations to maintain high data quality and unlock valuable business insights.

Our data privacy and security framework is meticulously crafted to safeguard your mission-critical information. With robust encryption, intelligent access controls, and comprehensive compliance frameworks, we ensure your data remains secure while meeting all regulatory requirements.

Deploy Core Infrastructure: We deploy essential infrastructure components to establish a solid foundation for your data platform. Our partnership with AWS enables us to deploy every AWS service you may need to any region including services such as API Gateways, S3, AWS RDS, and more.

Platform Setup: We set up the platform, using services and tools such as AWS RDS, and Amazon Data Lakes, to enable efficient data management and processing.
Data Pipeline Construction: We build data pipelines, using tools such as Amazon Kendra and Amazon OpenSearch to connect 3-5 data sources required for initial use cases, ensuring seamless data flow and integration.

Deliver Use Cases: We deliver 1-2 use cases, often of low complexity, such as ML models on Amazon Bedrock, BI dashboards via Amazon Quicksight, or data sharing solutions, to demonstrate the platform's capabilities and provide immediate value.

Our comprehensive approach ensures that your organization is equipped with a robust data infrastructure, ready to meet the demands of today and the challenges of tomorrow.

The solution reimagines government-citizen engagement by leveraging advanced AI to deliver instant, multilingual responses to complex inquiries and empower call center agents with rapid, accurate information retrieval. Its adaptive learning ensures the system evolves alongside organizational needs, supporting a more informed and agile public sector environment. By adopting this solution, agencies can drive citizen engagement, streamline internal processes, and accelerate digital transformation.

Purpose-built to help citizens access information from key federal agencies—including the IRS, Social Security Administration, and Department of Veterans Affairs—the intelligent chatbot guides users to detailed resources on services, policies, and procedures, and provides real-time, reliable answers. Bedrock's flexible architecture supports deep customization and integration with diverse data sources, ensuring agencies can tailor the experience to their unique requirements.

As an AWS Government Competency partner, WWT brings a proven record of delivering secure, compliant cloud solutions for the public sector. WWT's expertise spans complex regulatory environments such as FedRAMP and CJIS, enabling agencies to confidently address compliance and security needs. Beyond technical implementation, WWT offers strategic guidance to help agencies maximize the value of AI-driven platforms like Bedrock, ensuring solutions are not only robust and scalable but also aligned with mission objectives. WWT's collaborative approach, focus on operational excellence, and commitment to innovation set them apart as a trusted partner for government digital modernization.

The solution transforms how county employees address citizen inquiries by leveraging Amazon AI. Citizens benefit from timely, reliable information on a wide range of topics.

Service Information: The solution enables rapid access to local service details, including waste management schedules, public transportation routes, and community events.

Policy Clarifications: It provides clear, accessible explanations of county policies, zoning regulations, and permit requirements.

WWT brings proven expertise as an AWS Government Competency partner, demonstrating a strong track record in delivering secure, compliant cloud solutions for government agencies. 

With extensive experience supporting public sector organizations, WWT understands the complexities of regulatory frameworks such as FedRAMP and CJIS. WWT's approach combines technical excellence with strategic guidance, helping agencies implement AI-driven solutions like Amazon Q while ensuring compliance and operational efficiency. This commitment to best practices, security, and innovation positions WWT as a trusted advisor for government digital transformation initiatives.

At our core, we specialize in transforming the data architecture and tools of state and local governments to ensure seamless integration and real-time processing—even in environments with legacy systems, fragmented data, and budget constraints. Our focus is on creating secure, scalable solutions that establish a centralized data ecosystem, driving operational efficiency, supporting future growth, and aligning with the unique needs of public sector agencies and their communities.

We design governance frameworks and quality metrics specifically to meet the stringent compliance, transparency, and auditability requirements of state and local governments. This includes alignment with regulations such as NIST 800-53, FERPA, and HIPAA, and support for Zero Trust security models. By expertly managing data lifecycles and leveraging the right tools, we help agencies maintain high data quality, ensure data integrity, and unlock actionable insights to improve constituent services and public outcomes.

Our data privacy and security framework is tailored to safeguard mission-critical government information, including personally identifiable information (PII) and protected health information (PHI). We implement robust encryption, access controls, multi-factor authentication, data loss prevention, privileged access management, and network segmentation to ensure data remains secure and compliant with all regulatory mandates.

Evaluate Landscape:
We assess the landscape of data sources and integration options across diverse and often siloed government systems, providing a comprehensive understanding of your data environment. This includes support for common AWS services (such as AWS Data Lakes, Amazon RDS, Amazon S3, Amazon EBS) and leading ISVs (such as Snowflake, Oracle, Databricks), ensuring compatibility with existing investments and public sector budget realities.

Current State Analysis:
We analyze the current state and utilization of centralized data platforms—including data warehouses, ETL, BI tools, and MLOps—using both native tools (like AWS Glue) and ISVs (such as Dataiku, Informatica). This helps identify opportunities to modernize infrastructure, consolidate legacy systems, and integrate emerging technologies while minimizing disruption to ongoing government operations.

Data Modeling and Virtualization:
We evaluate the current state of data modeling and virtualization to identify areas for improvement, leveraging tools such as Amazon Quicksight and PowerBI. Our approach ensures that data is accessible, user-friendly, and supports unified digital identities and one-stop service portals for constituents, improving accessibility and service delivery.

Business Use Case Prioritization:
We work with agencies to identify and prioritize business use cases that deliver immediate value—such as improving constituent services, enhancing public transparency, and supporting data-driven decision-making to identify at-risk individuals and underserved communities.

Mapping Data Sources:
We map data sources to use cases, ensuring that your data architecture efficiently supports your agency's objectives and community needs.

Our comprehensive approach is validated in environments that mimic real-world government operations, ensuring readiness for production deployment and compliance audits. We streamline procurement through SLED contract vehicles, expedite the acquisition of IT solutions, and ensure compliance with public sector procurement processes. We provide ongoing support to mature data practices, manage cyber risks, and foster a culture of continuous improvement and innovation. By addressing these sector-specific needs, we empower state and local governments to deliver secure, efficient, and citizen-centric digital services while maintaining compliance and optimizing resources.

This synthesis is based strictly on the provided examples and sector-specific adaptations, with no additional assumptions or unsupported claims.

Our service is dedicated to transforming the data architecture and tools of state and local governments, ensuring seamless integration and real-time processing—even in environments with legacy systems and fragmented data. We focus on creating secure, scalable solutions that establish a centralized data ecosystem, driving operational efficiency, supporting future growth, and aligning with the unique needs of public sector agencies and their communities.

MVP Data Platform in Production:
We launch your MVP data platform into production, setting the stage for seamless data integration and real-time processing. Our approach is validated in environments that mimic real-world government operations, ensuring readiness for production deployment and compliance audits.

Business Use Cases for Digital Outcomes:
We implement 1-2 business use cases focused on achieving specific digital outcomes for government agencies, such as improving constituent services, enhancing public transparency, or supporting data-driven decision-making to identify at-risk individuals and underserved communities.

Governance Frameworks and Quality Metrics:
Our governance frameworks and quality metrics are designed to meet the stringent compliance and transparency requirements of state and local governments. This includes alignment with regulations such as NIST 800-53, FERPA, and HIPAA, and support for Zero Trust security models. By expertly managing data lifecycles and leveraging the right tools, we help agencies maintain high data quality, ensure data integrity, and unlock actionable insights to improve public outcomes.

Data Privacy and Security:
Our data privacy and security framework is meticulously crafted to safeguard mission-critical government information, including personally identifiable information (PII) and protected health information (PHI). We implement robust encryption, intelligent access controls, multi-factor authentication, data loss prevention, privileged access management, and network segmentation to ensure data remains secure and compliant with all regulatory mandates.

Deploy Core Infrastructure:
We deploy essential infrastructure components to establish a solid foundation for your data platform, leveraging AWS services (such as API Gateways, S3, AWS RDS) and ensuring compatibility with existing investments and budget constraints common in the public sector.

Platform Setup and Data Pipeline Construction:
We set up the platform using services and tools such as AWS RDS and Amazon Data Lakes to enable efficient data management and processing. Our team builds data pipelines with tools like Amazon Kendra and Amazon OpenSearch to connect 3-5 data sources required for initial use cases, supporting integration across diverse and often siloed government systems.

Deliver Use Cases:
We deliver 1-2 use cases, often of low complexity, such as ML models on Amazon Bedrock, BI dashboards via Amazon Quicksight, or data sharing solutions, to demonstrate the platform's capabilities and provide immediate value to agencies and their constituents.

Comprehensive, Public Sector-Focused Approach:
Our approach streamlines procurement through SLED contract vehicles, expedites the acquisition of IT solutions, and ensures compliance with public sector procurement processes. We provide ongoing support to mature data practices, manage cyber risks, and foster a culture of continuous improvement and innovation within government agencies.

By addressing the sector-specific needs of state and local governments—including compliance, transparency, security, and resource optimization—we empower agencies to deliver secure, efficient, and citizen-centric digital services while maintaining compliance and optimizing resources.

DOE IntelligentDriver - AI for DOE Driver Resource Management is an innovative AI-driven system designed to streamline the management and querying of driver certification records for the Department of Education. 

Key features include:

Natural Language Processing (NLP): Enables users to query driver certification records using simple text queries, eliminating complex menu-driven interfaces.

Contextual Understanding: Maintains conversation context for follow-up questions, providing a fluid, human-like interaction.

Secure Authentication: Ensures that only authorized users can access sensitive driver certification data.

Real-Time Data Retrieval: Provides instant, accurate responses to queries about driver certifications, such as expired certifications or vendor-specific data.

Scalable Architecture: Built on AWS technology, ensuring robust, scalable, and secure implementation.

Future-Ready: Designed with potential for future enhancements like semantic document search.

WWT SalesCoach AI is an advanced, AI-driven sales training solution designed specifically for university students. This innovative platform leverages cutting-edge artificial intelligence to create a dynamic and immersive learning environment that prepares students to excel in sales roles.

Customizable AI Role-Play Environment: Faculty can upload custom cases, prompts, and company profiles to tailor the training experience to specific learning objectives and industry contexts.

Realistic Buyer Personas: The solution generates detailed buyer personas with distinct needs and challenges, providing students with a diverse range of sales scenarios.

Authentic Sales Interactions: AI simulates realistic sales interactions, responding to student approaches in real-time and adapting to their strategies.

Emotional Intelligence Recognition: Advanced capabilities allow the AI to recognize and respond to non-verbal cues and emotional intelligence, helping students develop critical soft skills.

Personalized Feedback: Students receive immediate, personalized developmental feedback on their performance, highlighting strengths and areas for improvement.

Custom Evaluation Criteria: Faculty can establish custom evaluation criteria and rubrics to assess student performance against specific benchmarks.

WWT SalesCoach AI empowers students to hone their sales skills through practical, hands-on experience in a controlled, supportive environment. By integrating emotional intelligence and real-time feedback, this solution ensures that students are not only knowledgeable but also adept at navigating the complexities of human interactions in sales.

Airlines manage thousands of high-value parts across complex fleets, and when those components fail under warranty, every delayed or missed claim represents lost revenue. Yet most warranty teams are stuck navigating multiple systems, chasing spreadsheets, and manually determining eligibility—slowing down recovery efforts and increasing the risk of errors. This use case focuses on how Amazon Quick Suite streamlines that entire process by bringing data, documentation, automation, and AI into one unified workspace, enabling airlines to capture more reimbursement faster, with less manual effort and greater confidence in every claim.

Amazon Quick Suite transforms the traditionally manual, spreadsheet-heavy airline warranty claims process into a unified, intelligent workspace. Instead of logging into multiple systems, exporting data, and tracking eligibility by hand, teams gain real-time visibility into the entire warranty lifecycle through interactive dashboards. Leaders and analysts can instantly see claim statuses, workload distribution, key performance metrics, new claim opportunities, and part-level financial impact—all in one place, with the ability to drill down and filter for faster, more informed decision-making.

Secure AI-driven Spaces centralize policies, SOPs, internal documentation, and structured data, giving teams a single source of truth for consistent, confident claim handling. With an integrated Knowledge Base, Quick Suite's built-in assistant can answer operational questions using verified organizational data rather than public sources, ensuring accuracy and compliance. Role-based access keeps information properly segmented while still enabling seamless collaboration.

Quick Suite also connects directly to external systems through REST API integrations, automatically bringing in new warranty claim candidates from maintenance or parts platforms. This eliminates manual data gathering and positions Quick Suite as the central hub for claim identification and tracking.

Most importantly, automated Flows use agentic AI to handle complex, multi-step processes without custom code. From summarizing new records to generating complete, evidence-backed claim packages, Quick Suite can retrieve data, analyze eligibility, gather inputs, and produce submission-ready outputs—dramatically reducing cycle time and manual effort. Combined with the live AI assistant, teams can instantly ask questions like "Is this part still under warranty?" or "What steps are required to submit a claim?" and receive accurate, actionable answers.

The result is a faster, smarter, more scalable warranty operation—one that minimizes busywork, accelerates reimbursement, improves decision quality, and maximizes recovered revenue.

AWS Sonic CDK Agent Demo
This demo showcases how to build an intelligent, serverless agent using AWS CDK and Amazon Bedrock Agents for Amazon Q. It demonstrates how Sonic—the sample agent—can process natural language queries, interact with AWS services, and execute tasks securely through managed workflows. The solution highlights best practices for integrating generative AI with cloud automation, including:

• Conversational AI powered by Amazon Bedrock
• Infrastructure as Code using AWS CDK
• Secure API orchestration for real-world use cases

The lab provides a hands-on example of creating an AI-driven agent that can understand user intent, call APIs, and deliver actionable results—all within a scalable, cloud-native architecture.

In this demo we walk you through an Amazon Q for Business Web Experience based on County and State data for the public sector.  This solution can enhance the performance of your employees in their daily work and interactions with citizens.