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Build a practical path from AI assessment to daily operations. WTA connects strategy, product engineering, modernization, software delivery, experience design, and agent platforms on Microsoft Azure. Start with a scoped readiness or architecture review, agree on measurable goals, and expand through evidence from real workflows.
AI Strategy & GovernanceBuild a Microsoft AI roadmap — audit workflows, compare costs, set controls, and choose useful pilots around your teams, budget, and business goals.
AI Native Product EngineeringBuild AI products on Microsoft Azure — connect trusted data, deliver tested agents, and keep teams in control from pilot to daily use.
Platform Modernization with AI AgentsModernize systems with Microsoft Azure — connect trusted data, improve workflows, and release changes in stages with clear tests and oversight.
Accelerated AI Software Delivery (SDLC)Improve software delivery with GitHub Copilot and Azure DevOps — automate useful tests and measure quality while engineers retain release control.
AI-Enhanced Experience & Intelligence DesignDesign useful enterprise experiences — improve journeys, prototype agentic interfaces, and test personalization with Microsoft tools and real users.
AI Delivery Pods & Agentic PlatformsBuild enterprise agents with dedicated teams — connect Microsoft platforms, define approvals, and track workflow quality, cost, and recovery.
Well-Architected Framework Review (WAFR)Review Azure reliability, security, cost, operations, and performance. Get evidence-backed findings and a prioritized plan for architectural improvements.
AI Readiness AssessmentAssess business priorities, data, systems, people, and controls. Identify useful AI opportunities and define the prerequisites for a measurable pilot.
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