AI-Native Product Engineering for Enterprise Platforms

WTA builds enterprise-grade AI platforms in 90 days using a 90/10 AI-accelerated delivery model — Azure AI Foundry, Microsoft Agent Framework 1.0, agentic orchestration, and GraphRAG over governed data. Our engineering pods run Devin as an autonomous coding agent, GitHub Copilot powered by Codex for AI-assisted development and review, Pilot for PR governance, and Cursor and Windsurf as AI-native IDEs — delivering production-ready, secure, multi-tenant platforms in 90 days.

Get Started
Get Started
AI Native Product Engineering
35%+
faster time‑to‑market
Accelerate AI-Native Product Development
Use Generative AI for rapid prototyping, intelligent testing, and launching secure, scalable platforms faster.
Accelerate AI-Native Product Development
Architect Your Enterprise AI FutureDesign a future-proof AI foundation with a scalable plan, ethical governance rules, and a cross-departmental roadmap for unified adoption.
Unlock Hyper-automation with Agentic AIImplement autonomous, task specific AI agents that improve operations, reduce human workload, and drive real-time decision-making.
Build for Scale with Modular AI PlatformsDevelop modular, API ready AI platforms that adapt to evolving business needs and sustain long-term competitive advantage.

How to Get Started in 3 Steps

Your 12-Week Path to AI-Native Production

Scope & Design Sprint
Step
1

Scope & Design Sprint

Define goals, map journeys, and prototype key flows; align KPIs, risks, and data requirements.

AI‑Accelerated Build
Step
2

AI‑Accelerated Build

Parallelize development with AI copilots code, tests, and docs integrated with CI/CD and security checks.

Stabilize & Go‑Live
Step
3

Stabilize & Go‑Live

Performance tuning, model evaluations, guardrails, and change enablement; roll out with observability and support.

Accelerated use cases real-world aI impact

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