Cart
(
0
)
Your Cart
No items found.
Product is not available in this quantity.
.webp)
.svg){kind=icon}
For enterprises putting AI to work — build useful products, connect business data, modernize existing systems, and improve software delivery. We plan each engagement around your team's priorities, with clear ownership, access controls, and tests before rollout.
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.
Enterprise teams trust WTA to build digital products, connect their systems, and turn business priorities into practical software.
.png){kind=small}
.png)
%201.svg){kind=small}
%201.png)
Open standards help AI agents connect to tools and coordinate tasks. We check access, compatibility, and data handling for each business integration.
Microsoft Agent Framework helps connect AI agents and defined workflows. We use it to organize tasks, manage context, and add human review where decisions need oversight, with testing before each rollout.
Connect AI answers to trusted business sources and their relationships. We test relevance, check source access, and help users review the evidence behind answers.
Set clear rules for data access, AI actions, and human approvals. We document risks, assign owners, and agree on practical checks before systems go live.
Microsoft Foundry, Azure, Entra ID, and Azure DevOps help connect AI development with access controls, testing, and the systems your teams already use.
Move from discovery to a tested pilot, then expand in stages. We agree on scope, success measures, and release checks with your team before wider deployment.
.svg){kind=small}
.png)
.png){kind=small}
