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WTA builds enterprise AI around Microsoft Azure, Foundry, Microsoft 365, and your existing systems. We choose tools for the work your teams need to complete, with clear data access, human approvals, quality checks, and operating costs from pilot to daily use.
Run applications and connect business workflows on Microsoft Azure. We choose hosting and integration services around your existing systems, expected demand, and support needs. Each design includes access controls, monitoring, recovery procedures, and an agreed operating budget.
Give teams and agents useful, permitted business context. Microsoft Fabric, Azure AI Search, and Work IQ support different data and knowledge needs. We assess source quality, permissions, and freshness before connecting information to a workflow.
Set clear boundaries for people, agents, and business data. Microsoft Entra, Purview, and Azure security services support identity, protection, and oversight. We define permissions, approval steps, and investigation records around the requirements of each engagement.
Compare model families against real business tasks. Microsoft MAI and Phi, Azure OpenAI, and partner models in Foundry offer different capabilities. We check quality, cost, deployment availability, licensing, and data handling before selecting a model.
Choose the right way to build and run agents. Microsoft Agent Framework supports custom workflows, Copilot Studio supports business scenarios, and Foundry Agent Service provides managed capabilities. We define tool access, human approvals, and recovery before rollout.
Keep delivery quality and operating costs visible. GitHub and Azure tools support development, release checks, monitoring, and investigation. WTA’s Agent Swarm operating approach brings workflow status, ownership, and agreed controls into a shared view for your engagement.
Start with the current workflow and its costs. Then choose a useful pilot, test it with real users, and expand only when quality, access controls, and operating results support the decision.
Strategy & AI Maturity Assessment
Platform Architecture & Agentic Design
Agentic Engineering & Build
Evaluation, Testing & Guardrails
Deployment & Continuous Intelligence
Continuous Improvement & Innovation
Six connected services take enterprise teams from assessment to ongoing operations. Scope, delivery milestones, and acceptance criteria are agreed around your business priorities.
Improve existing platforms through staged Azure changes. Connect approved data and workflows, test recovery, and keep core operations supported while new capabilities are introduced.
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Build useful AI products with Azure and Foundry. Connect business systems, test models against real tasks, and keep engineers accountable for releases and support.
Audit workflows and compare current costs with automation costs. Define priorities, data access, human approvals, and measurable pilot outcomes before committing to wider delivery.
Bring dedicated teams to agent development and operations. Agree on skills, delivery responsibilities, support ownership, and the controls needed to expand beyond a pilot.
Use GitHub Copilot, GitHub Actions, and Azure DevOps to support delivery. Engineers review changes while automated checks help identify defects and support release decisions.
Design chat, forms, and dashboards around real tasks. Prototype Microsoft Teams and Copilot experiences, test accessibility and recovery, and measure task completion with users.
Connect approved data through Microsoft Fabric, Azure AI Search, and Work IQ where appropriate. Test access, quality, and source freshness.
Track task quality, failures, response times, and operating costs. Define support ownership and recovery procedures before expanding automation across the business.
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