GWC DATA.AI

Design, deploy, and manage enterprise agents in one place while accelerating builds and retaining control of data, intellectual property, and deployment choices.

Automate complex workflows, strengthen compliance, and turn enterprise data into timely, actionable decisions.

Understand your organization’s AI readiness and get a benchmarked score, prioritized next steps, and expert guidance.

Gives enterprises visibility and control over AI costs, helping optimize model use and connect spending to measurable business outcomes.

Build a trusted, well-governed data foundation that supports compliance, protects privacy, improves data quality, and makes data easier to discover and understand.

Build a governed, scalable data foundation and turn organizational data into actionable insights aligned with business goals.

Turn business data into actionable insights, clearer performance visibility, and informed decisions through tailored analytics and reporting.

Modernize BI environments with a controlled migration that minimizes disruption, improves performance, and enables scalable cloud analytics and predictive insights.

Helps organizations modernize cloud environments, respond to changing business needs, and use cloud-based data, analytics, and AI to support informed decisions.

Helps enterprises put Claude to work in secure, governed business systems, automating workflows and supporting adoption from strategy through ongoing operations.

Connect data, develop useful analytics and applications, and support faster decisions, process optimization, and cost reduction with Domo.

Connect applications, data, and systems, automate workflows, and scale integrations with GWC’s Boomi expertise.

Unify and govern data while enabling scalable AI, analytics, and faster insights across real-time and batch workloads.

Help organizations manage, integrate, and analyze data on Snowflake with tailored services for performance, cost, security, and analytics.

Optimize Google Cloud performance, security, costs, and reliability while supporting modernization, data initiatives, and cloud operations.

GWC Agent Lifecycle Platform

GWC’s flexible, modular agent lifecycle platform brings agent design, operation, monitoring, and management together. Ready-made blueprints accelerate development, while enterprise controls support secure cloud or on-premises deployment. Customers retain control of data and intellectual property, with safeguards including SSO, role-based access control, auditing, and human-in-the-loop controls.

Category: AI Agent Platforms

• Manage Agents In One Hub
  Bring agent design, operation, monitoring, and management together in one place.
• Accelerate Agent Builds
  Start from ready-made blueprints rather than building agents from scratch; GWC says this can reduce initial build effort by nearly 70%.
• Keep Data Out Of Training
  Keep customer data from being used for training.
• Retain Agent Ownership
  Maintain exclusive ownership of agents created for the organization.
• Apply Enterprise Safeguards
  Use access controls, auditing, and human oversight to manage agent activity.
• Choose Your Deployment Environment
  Select cloud or on-premises deployment.
• Choose Flexible Models
  Use model flexibility when deploying agents.

Agentic AI solutions

GWC designs and delivers enterprise AI agents that reason, plan, and act to automate complex workflows and data management. Solutions support data governance and compliance, real-time analytics, and decision-making, with capabilities spanning agent design, integration, deployment, monitoring, and optimization. Agents connect to existing data infrastructure and can be deployed in cloud or on-premises environments with enterprise security and human oversight.

• Automate Multi-Step Workflows
  Coordinate tasks and business processes across systems, including complex data management workflows.
• Enable Complex Decision-Making
  Use agents designed to reason and plan through complex tasks.
• Govern Agent Actions
  Apply safety layers, filtering, compliance controls, and human oversight to govern agent operation.
• Manage Agents End To End
  Manage agents through a connected lifecycle with ongoing performance review and refinement.
• Deploy Securely Across Environments
  Choose cloud or on-premises deployment and apply enterprise access, audit, and oversight controls.
• Monitor Data Governance In Real Time
  Track data usage, lineage, and privacy with reporting and audit trails to support transparency and compliance.
• Turn Data Into Actionable Decisions
  Surface insights and recommendations from complex datasets to support faster, informed decisions.
• Ground Agents In Enterprise Knowledge
  Connect agents to organizational information, including documents, data, and institutional knowledge.
• Act On Live Data
  Process live data and streaming responses to support timely analysis and decisions.
• Accelerate Agent Development
  Start from pre-built blueprints to reduce initial build effort and move toward launch more quickly.
• Protect Data And Agent Ownership
  Keep customer data out of training and retain exclusive ownership of created agents.
• Connect Agents To Existing Systems
  Integrate agents with existing data platforms and custom legacy environments.
• Handle Natural-Language Interactions
  Support customer and sales interactions through natural-language agents.

AI readiness assessment

A free assessment that helps organizations understand their AI readiness. Answer 10 questions in under five minutes to receive an industry-benchmarked readiness score, a personalized action plan with prioritized next steps, and a complimentary 30-minute consultation with a GWC AI specialist.

• Reveal Your Readiness
  Get a personalized score to understand your organization's current AI readiness.
• Prioritize Your Next Steps
  Use a roadmap tailored to identified gaps to determine next steps for advancing AI readiness.
• Benchmark Your AI Maturity
  See how your organization compares against AI maturity indicators and industry benchmarks.
• Complete It In Minutes
  Answer 10 questions in under five minutes to receive assessment results.
• Consult A GWC AI Specialist
  Discuss your assessment with a GWC AI specialist during a complimentary 30-minute consultation.

AI FinOps and Token Economics

GWC’s model-agnostic AI FinOps and Token Economics service applies financial discipline to AI spending across models, platforms, teams, agents, and workflows. It provides real-time token and compute metering, spend audits, chargeback and showback, cost optimization through model routing and tiering, prompt optimization and semantic caching, and dashboards connecting spend to business outcomes. Automated cost guardrails can be built into agents, with ongoing ROI measurement.

• Track AI Consumption In Real Time
  Gain timely visibility into AI consumption by model, workload, team, and workflow.
• Attribute AI Costs To Business Units
  Show where costs originate and assign spending to business units to support budget accountability.
• Reduce Costs With Smarter Model Use
  Match task complexity to an appropriate model and use prompt optimization and semantic caching to control costs.
• Connect AI Spend To Business Outcomes
  Relate AI spending to business outcomes and report on return on investment.
• Govern Agent Costs At Execution
  Use instrumentation and guardrails to make agent execution costs visible and controllable.
• Identify Waste And Hidden AI Spend
  Find waste, over-provisioning, and shadow AI through consolidated inventories and spending benchmarks.

Data governance services

GWC provides data governance services to build a governed data foundation using an enhanced data fabric architecture. Services cover data classification and sensitivity, quality, lineage, access and authorization, privacy compliance, governance policies, metadata, training, risk management, and audit and monitoring. Certified experts also implement data catalogs, business glossaries, API-driven governance tools, and automated metadata enrichment to support unified discovery, analysis, and collaboration.

• Establish A Unified Governed Data Foundation
  Bring governance into a unified foundation designed to support accurate data use and audit-ready handling.
• Trace Data Origins And Dependencies
  Understand data origins and dependencies to assess change impacts and investigate issues.
• Protect Data And Support Privacy Compliance
  Protect customer data and support privacy-law adherence through controls and ongoing monitoring.
• Classify And Protect Sensitive Data
  Identify sensitive information and apply appropriate protections to support compliance.
• Improve Data Quality And Consistency
  Help teams use information with greater confidence in decision-making.
• Control Access To Sensitive Information
  Restrict sensitive data to permitted users and reduce unauthorized access or misuse.
• Unify Metadata Across Data Platforms
  Make metadata accessible across systems and help create a dynamic map of the data landscape.
• Locate And Understand Enterprise Data
  Find and understand data across environments and track its lineage.
• Detect Governance Risks And Data Issues
  Identify non-compliance, risks, and data quality issues early for timely response.
• Structure Data Management Practices
  Provide a framework for managing data efficiently and addressing potential data breach issues.
• Reduce Data Privacy And Compliance Risks
  Protect valuable data and support adherence to privacy laws.
• Automate Metadata Enrichment
  Reduce manual metadata entry across the data landscape.
• Clarify Business Data Terminology
  Provide a shared reference for data terminology and responsible data management.
• Build Ongoing Governance Awareness
  Help teams engage in continuous learning about data governance.

Data Strategy and Engineering

GWC’s Data Strategy & Engineering service helps organizations build a unified, well-governed data foundation aligned with business goals. It assesses data sources, quality, accessibility, and maturity; uncovers patterns through discovery and analytics; and develops tailored strategies and scalable roadmaps. The service also includes digital transformation consulting, compliance monitoring, and IT infrastructure optimization. Advanced analytics and AI can be integrated with existing systems to provide actionable insights.

• Reveal Data Gaps And Opportunities
  Assess data sources, quality, and accessibility to plan data improvements and transformation.
• Turn Data Into Actionable Insights
  Use analytics and AI to extract information, anticipate challenges, and support informed decisions.
• Align Data Plans With Business Goals
  Set direction for data initiatives with a roadmap that adapts to organizational and technology needs.
• Optimize Data For Business Needs
  Align the data ecosystem with business needs while improving data quality, accessibility, and relevance.
• Uncover Patterns And Trends
  Surface meaningful patterns and trends to support informed decisions.
• Identify Data Maturity Priorities
  Understand current capabilities to identify improvements and determine a path forward.
• Maintain Regulatory Compliance
  Track regulatory changes and make timely adjustments to support ongoing compliance.
• Align Data Objectives With Priorities
  Focus data strategy on strategic goals and organizational priorities.
• Improve IT Resource Efficiency
  Use resources effectively and accommodate changing needs with scalable solutions.
• Integrate Digital Technologies Smoothly
  Adopt and integrate digital technologies and processes to support growth and adaptation.
• Focus Outreach On Target Audiences
  Understand target audience preferences, behaviors, and needs to direct outreach.

Business intelligence and analytics

GWC provides business intelligence and analytics services tailored to business goals and challenges. Services cover data collection and exploration, analysis, custom reporting, interactive dashboards, visualization, performance monitoring, and insight generation. GWC integrates analytics into existing systems and workflows and supports collaboration and refinement. Capabilities include predictive and prescriptive analytics, machine learning, natural language processing, generative AI, computer vision, IoT analytics, and statistical analysis. Services use platforms including Tableau, Power BI, Looker, Domo, Snowflake, and Google Cloud.

Category: Data Analytics Services

• Answer Business Questions With Relevant Reports
  Give stakeholders reports designed around business operations, questions, and decisions.
• Monitor Key Metrics As They Change
  Give teams current visibility into business performance for timely response.
• Unify Data From Multiple Business Sources
  Bring disparate sources into an analytics-ready layer and make insights available in existing workflows.
• Generate Predictive And AI-Augmented Insights
  Apply analytics and AI to identify potential outcomes and support proactive decisions.
• Turn Findings Into Clear Recommendations
  Connect analytical results to recommendations for strategic decisions and planning.
• Uncover Patterns And Anomalies In Data
  Identify trends, anomalies, and opportunities for further analysis.
• Present Complex Data Clearly
  Translate analytical findings into understandable visualizations and narratives.
• Detect Metric Changes And Anomalies
  Keep teams informed about critical changes through monitoring, alerts, and anomaly detection.
• Explore And Share Insights Across Teams
  Help users explore data and enable teams to share findings and align outcomes.
• Refine Analytics As Needs Evolve
  Use feedback to keep analytical approaches aligned with changing business needs and data.

BI migration and modernization

GWC manages end-to-end migration from legacy BI platforms to modern environments through its proprietary GWC Data Migration Accelerator, a framework that standardizes and automates migration stages to accelerate delivery and reduce manual error. The service covers assessment and planning, data inventory and cleansing, data and report migration, integration, security, testing, phased deployment, training, and post-migration optimization. Incremental migration, parallel runs, and real-time monitoring help maintain data integrity and minimize disruption. Supported legacy platforms include Tableau, SAP BusinessObjects, and Microsoft SSRS; destinations include Domo, Snowflake, Databricks, and Google Cloud. The service also supports cloud BI and AI-infused analytics.

• Standardize And Automate Migration Stages
  Apply a structured framework across migration activities to accelerate delivery and reduce manual error while maintaining team control.
• Plan A Controlled BI Transition
  Identify potential challenges early and define a migration plan reflecting business goals.
• Prepare Reliable Data For Migration
  Identify dependencies and address data quality needs before migration.
• Validate Data Throughout Migration
  Monitor migration and validate transferred data at each step.
• Preserve Security During Transition
  Carry access permissions into the new environment, protect sensitive data, and address security gaps.
• Reduce Disruption During Go-Live
  Transition in phases and support go-live to limit disruption to daily operations.
• Modernize Reports And Dashboards
  Move BI assets to the new environment while refining their presentation and interactions.
• Connect BI With Existing Systems
  Integrate the new BI environment with existing systems and applications.
• Verify BI Quality Before Launch
  Evaluate the migrated environment and address issues before deployment.
• Improve BI Performance After Migration
  Use performance findings and feedback to identify bottlenecks and guide improvements.
• Scale BI In The Cloud
  Move toward cloud BI environments that support real-time analytics and collaboration.
• Move Between BI Platforms
  Access migration support for named legacy BI platforms and modern destination environments.
• Support User Adoption
  Prepare users with training and clear communication about changes.
• Unlock Predictive Analytics
  Apply AI and machine learning to surface predictive insights.

Cloud transformation

GWC’s cloud transformation service helps organizations modernize applications, data, and cloud operations. It covers cloud migration, hybrid integration, DevOps, security operations, compliance, and data governance, alongside cloud analytics and custom AI solutions. GWC also supports ongoing operations monitoring and optimization to help teams adopt cloud technologies and respond to evolving needs.

• Migrate Applications With Minimal Downtime
  Guide cloud application migrations to help minimize downtime.
• Modernize Legacy Applications
  Modernize applications and enable new functionality and data insights through cloud services.
• Strengthen Cloud Security Operations
  Set up security monitoring and response, apply zero trust, and integrate security into DevOps.
• Modernize Enterprise Data Platforms
  Modernize data warehouses and databases and enrich or transform migrated data.
• Monitor And Optimize Cloud Operations
  Monitor and regularly review cloud operations to identify improvements and align strategy with business needs.
• Connect Cloud And On-Premises Environments
  Combine cloud agility with on-premises security and control, including cross-environment recovery strategies.
• Adapt Compliance To Changing Requirements
  Review compliance and adapt processes as regulations and cloud environments change.
• Govern And Locate Data Across Environments
  Use governance and catalogs to locate, understand, and track data lineage across environments.
• Turn Cloud Data Into Actionable Insights
  Use cloud analytics, dashboards, and data exploration to support informed decisions.
• Build And Integrate Custom AI Solutions
  Assess feasibility, build models, and integrate AI with existing systems.
• Improve Cloud Development Workflows
  Apply DevOps practices and cloud-based development and collaboration tools across teams.

Claude enterprise services

GWC Data.AI provides end-to-end enterprise services for building and operating AI solutions with Claude. The practice covers advisory and strategy, team enablement, solution development, engineering and modernization, responsible AI governance, and managed services. GWC builds assistants, copilots, agents, API integrations, MCP servers, and retrieval systems grounded in organizational knowledge, and supports Claude Code deployment and migration from other LLMs. Engagements include scoping, integration, evaluation, training, handoff, and ongoing monitoring and support.

• Automate Workflows With Claude-Powered Systems
  Develop Claude-powered systems for business workflows, with memory, tool calling, and human checkpoints where needed.
• Integrate Claude Into Existing Applications
  Bring Claude into applications and workflows through API integration.
• Govern Claude Deployments With Oversight And Audit Trails
  Apply guardrails, human oversight, and audit trails to Claude-based systems.
• Prioritize Claude Initiatives And Set A Roadmap
  Map Claude opportunities to business goals with defined use cases, governance, and a phased roadmap.
• Connect Claude To Enterprise Systems
  Connect Claude with business platforms and internal tools through custom MCP servers.
• Ground Claude Responses In Business Knowledge
  Make organizational knowledge available to Claude for search and document intelligence.
• Accelerate Engineering With A Configured Coding Copilot
  Support engineering with Claude Code configured for the codebase and guardrails.
• Maintain Claude Systems With Ongoing Expert Support
  Monitor and tune Claude deployments with ongoing support.
• Move LLM Workloads To Claude With Benchmarked Cutover
  Compare accuracy, latency, and cost and migrate workloads with a production cutover designed for zero downtime.
• Move From Scope To A Running Claude System
  Follow a defined process for design, integration, testing, training, and handoff.
• Connect Claude With Existing Enterprise Systems
  Integrate Claude with enterprise platforms and custom applications.
• Equip Teams For Confident Claude Adoption
  Support adoption with secure access, clear usage policies, and practical training.
• Match Claude Models To Business Tasks
  Choose models according to task requirements and workload.

Domo implementation and consulting

GWC is a certified Domo partner that helps organizations implement and use Domo’s unified data and AI platform. Services cover data integration, analytics, application development, and data foundations, with expertise managing the AI lifecycle for secure, scalable deployment. GWC helps clients turn business questions into insights that support process optimization, informed decisions, and cost reduction.

• Deploy Domo Across Your Organization
  Implement Domo capabilities across data, analytics, and applications.
• Connect Data From Multiple Sources
  Bring data together for analysis using Domo connectors and integration capabilities.
• Build Interactive Dashboards And Reports
  Create dashboards and reports that support business insights and decisions.
• Create Data-Driven Business Apps
  Develop business apps and data experiences with Domo tools.
• Automate Cross-Platform Business Workflows
  Coordinate data-driven processes across Domo and external SaaS platforms.
• Deploy AI Securely At Scale
  Manage AI capabilities and models through secure, scalable deployment.
• Turn Data Into Guided Insights
  Use AI capabilities, including predictive analytics and AI chat, to generate insights and support decisions.
• Govern And Secure Data Access
  Apply controls and permissions for secure data use and insight sharing.
• Embed Insights In Existing Workflows
  Make contextual insights available within existing applications and workflows.
• Access Insights And Alerts On-The-Go
  Access dashboards, alerts, and collaboration features through Domo’s mobile experience.

Boomi integration services

GWC delivers Boomi integration services to connect applications, data, systems, and devices. Using Boomi’s cloud-native platform, GWC designs and deploys integrations through a drag-and-drop interface, implements pre-built connectors, and provides real-time monitoring. Services also cover API management, Master Data Hub, and B2B/EDI management. GWC tailors workflows to business needs, supporting faster deployments, reduced manual effort, and scalable integrations with enterprise-grade security.

• Connect Applications And Systems
  Unite applications and systems through Boomi integrations.
• Create And Manage Secure APIs
  Create APIs from integrations, manage and secure them, and report on usage.
• Accelerate Integration Deployment
  Use pre-built connectors to speed integration work.
• Monitor Integration Performance
  Monitor integrations in real time to support performance and reliability.
• Synchronize And Cleanse Data
  Maintain consistent, accurate records across the organization.
• Automate Partner Workflows
  Simplify partner interactions through automated workflows.
• Scale Integrations Securely
  Support protected, compliant, and scalable integrations.
• Reduce Manual Workflow Effort
  Automate workflows to reduce manual effort and support faster deployment.
• Deploy Across Environments
  Support flexible API Gateway deployment across environments.
• Support Trading Standards Compliance
  Support trading standards compliance through B2B and EDI management.

Databricks data and AI services

GWC's Databricks services help organizations unlock data value through the lakehouse approach. Services cover platform modernization and migration, governed data foundations, real-time and batch processing, machine learning, analytics, data sharing, and business intelligence. GWC supports discovery and architecture through implementation, migration, monitoring, optimization, and support, with solutions for hybrid and multi-cloud environments.

• Establish Trusted Data Foundations
  Bring governance, access controls, lineage, and compliance into the data foundation.
• Modernize Data On A Unified Lakehouse
  Move and modernize data systems while improving performance, governance, and cost efficiency.
• Deploy Machine Learning At Scale
  Develop and operate models at scale to support forecasting and optimization.
• Process Live Data Streams
  Use live data streams for alerts, dashboards, and operational intelligence.
• Unify Batch Data Workflows
  Support batch processing alongside real-time workflows.
• Optimize Platform Performance And Costs
  Improve performance and manage costs with usage visibility, auto-scaling, and monitoring.
• Share Data Securely Across Partners
  Make data available through governed sharing designed to avoid duplication and leakage.
• Deliver Insights Through Dashboards
  Present real-time and historical insights in interactive dashboards.
• Deploy Across Hybrid And Multi-Cloud Environments
  Support deployment across on-premises infrastructure and multiple clouds.
• Monitor And Optimize The Platform
  Maintain and improve the platform through monitoring, optimization, and support.

Snowflake data platform services

As a certified Snowflake partner, GWC provides implementation, optimization, migration, integration, and custom solutions using Snowflake’s cloud data platform. Services include data modeling, ETL improvements, security implementation, and BI integration, supporting reliable cloud operations and analytics.

• Implement And Migrate Snowflake Solutions
  Establish Snowflake solutions and migrate data to the platform.
• Store And Analyze Large Data Volumes
  Use a managed cloud warehouse to store, process, and analyze large datasets.
• Accelerate Query Execution
  Improve query execution times and overall system performance.
• Protect Data With Layered Controls
  Apply access control, encryption, and masking to protect data.
• Share Data Without Moving It
  Share data securely between organizations without copying or moving it.
• Integrate And Move Data Seamlessly
  Connect Snowflake with data integration tools to load and extract data.
• Scale Compute Across Cloud Providers
  Choose cloud providers and scale compute resources.
• Optimize Resource Use And Costs
  Optimize utilization and manage costs through separate storage and compute resources.
• Organize Data For Analytics
  Build scalable models that improve data organization and accessibility.
• Streamline Data Processing
  Improve ETL efficiency and reduce processing times.
• Track Data Lineage And Metadata
  Use metadata, lineage, and auditing capabilities to support governance.
• Connect Snowflake To BI Tools
  Support visualization and reporting by integrating BI tools.
• Deploy Warehouses Across Regions
  Deploy across regions and cloud providers to support performance and accessibility.
• Run Custom Code Within Snowflake
  Execute custom code in Snowflake using supported programming languages.
• Discover Data And Applications
  Find datasets, connectors, and applications through the Marketplace.

Google Cloud managed services

GWC’s certified architects and data engineers manage and optimize Google Cloud environments to improve performance, security, cost efficiency, and operational reliability. Services include infrastructure and application modernization, data engineering, BI modernization, machine learning operations, and FinOps. GWC also supports IoT integration, proactive infrastructure management, real-time monitoring, and Google Cloud security and compliance practices.

• Optimize Cloud Infrastructure
  Improve infrastructure performance, security, and cost efficiency through proactive management.
• Protect Data And Meet Standards
  Apply security and compliance practices to protect data and support standards.
• Modernize Cloud Infrastructure
  Improve Google Cloud environments through modernization and optimization.
• Optimize Cloud Spending
  Identify usage inefficiencies to support cost savings.
• Engage Certified Cloud Experts
  Rely on certified architects and data engineers to manage Google Cloud services.
• Modernize Cloud Applications
  Support application modernization within Google Cloud environments.
• Support Cloud Data Engineering
  Enable data engineering initiatives through Google Cloud services.
• Support Machine Learning Operations
  Support machine learning operations through Google Cloud services.
• Turn Machine Data Into Insights
  Connect Google Cloud with IoT hardware to transform machine data into insights.
• Monitor Cloud Operations In Real Time
  Monitor managed services in real time and support collaboration among distributed users.
• Modernize Business Intelligence
  Support BI modernization within Google Cloud environments.