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WTA builds on the 2026 enterprise AI reference architecture — Microsoft Agent Framework 1.0, MCP and A2A protocols, Azure AI Foundry, GraphRAG, and ISO 42001-governed delivery pipelines. Every layer is production-grade, observable, and aligned to Azure Well-Architected standards.
Establish a scalable and secure cloud foundation that powers enterprise AI initiatives across multiple environments. Integrate applications, APIs, AI services, and governance controls through a unified runtime layer designed for reliability, flexibility, and future growth.
Create trusted data ecosystems by connecting, transforming, and governing enterprise information across structured and unstructured sources. Enable high-quality retrieval, knowledge discovery, analytics, and AI-powered experiences through intelligent data pipelines and retrieval frameworks.
Implement comprehensive security, identity, and compliance controls to protect enterprise AI systems and sensitive data. Ensure secure access, policy enforcement, audit readiness, and regulatory compliance while maintaining visibility and governance across the entire technology stack.
Provide a flexible model layer that enables organizations to leverage the best foundation models for different business needs. Support seamless model selection, routing, governance, and optimization while maintaining consistent security, performance, and operational standards.
Enable intelligent agents to collaborate, communicate, and execute complex business workflows across enterprise systems. Orchestrate multi-agent interactions, tool usage, and decision-making processes while ensuring transparency, reliability, and human oversight when required.
Operationalize AI systems with continuous monitoring, evaluation, deployment, and lifecycle management capabilities. Track model and agent performance, measure business outcomes, manage releases, and maintain complete visibility into production environments through robust observability practices.
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From AI maturity assessment to production-grade agentic platform — WTA's structured 12-week SPEED delivery model, governed by the Agent Development Life Cycle and Microsoft enterprise architecture standards.
Strategy & AI Maturity Assessment
Platform Architecture & Agentic Design
Agentic Engineering & Build
Evaluation, Testing & Guardrails
Deployment & Continuous Intelligence
Continuous Improvement & Innovation
Eight structured engagement models designed for enterprise procurement — from 12-week production pilots to full Global Capability Centers running on CMMI-aligned delivery practices.
Retire legacy monoliths using the strangler pattern — Azure Service Bus, Durable Functions, and agentic microservices with zero-downtime cutovers and measurable ROI at every stage.
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Design and ship enterprise SaaS on Azure AI Foundry — multi-tenant architecture, MCP-native copilots, API-first design, and Microsoft co-sell aligned delivery with ISV-grade security.
ISO 42001 and EU AI Act roadmaps, CMMI maturity assessments, AI governance framework design, and ongoing MLOps and GraphRAG advisory for enterprise AI teams.
Dedicated cross-functional pods — product, design, data/ML, and SRE — running on CMMI-aligned delivery, DORA metrics, and SOC 2/ISO 27001 enterprise security standards.
GitHub Actions and Azure DevOps pipelines with SAST/DAST/SCA security gates, SBOM signing, canary/blue-green releases, and policy-as-code for fully governed CMMI-aligned change delivery.
ISO 42001, EU AI Act, NIST AI RMF, SOC 2 Type II, PCI DSS, and HIPAA alignment — with control catalog, compliance matrix, risk register, Entra ID zero trust, and audit trail delivery on every engagement.
Stand up governed data products, vector stores, and feature pipelines RAG ready catalogs, lineage, and quality SLOs across clouds.
Instrument apps and models end to end SLOs, error budgets, and cost telemetry to optimize reliability and spend as usage scales.
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