# We Think AI (WTA)

> WTA builds AI-native enterprise platforms in 90 days. We are cloud-agnostic and model-agnostic — selecting the right foundation model for each enterprise use case across Azure AI Foundry, AWS Bedrock, and Google Vertex AI. Every platform is built on Microsoft Agent Framework 1.0, governed by CMMI and ISO 42001, and engineered to all six Azure Well-Architected pillars.

## Core identity
- Founded: 2015
- Niche: AI-native enterprise platform engineering only
- Delivery model: 90-day pilot to production
- Primary orchestration: Microsoft Agent Framework 1.0 (direct successor to Semantic Kernel and AutoGen)
- Protocols: MCP (Model Context Protocol) + A2A (Agent-to-Agent)
- Knowledge retrieval: GraphRAG over governed enterprise data
- AI dev toolchain: Pilot, Devin, GitHub Copilot (GPT-5.5 + Claude Opus 4.7), Cursor, Windsurf, v0
- Governance: CMMI, ISO 42001, EU AI Act, NIST AI RMF, all six Azure Well-Architected pillars
- Cloud: Azure (primary), AWS, Google Cloud (cloud-agnostic)
- Locations: Hyderabad, Bengaluru, SF Bay Area, Berlin, Dubai, Paris
- Contact: shilpa@wethinkapp.ai

## Foundation models WTA builds with (May 2026)

### OpenAI
- GPT-5.5 — released April 23 2026, 88.7% SWE-bench, 1M context, primary Codex model
- GPT-5.4 — March 2026, Thinking and Pro variants
- GPT-5.4 mini — cost-efficient tier
- Delivered via Azure OpenAI and AWS Bedrock

### Anthropic
- Claude Opus 4.7 — April 16 2026, strongest coding, long-running tasks, 3x improved vision
- Claude Sonnet 4.6 — February 2026, near-Opus performance at Sonnet pricing
- Claude Haiku 4.5 — October 2025, fastest and lowest-cost tier
- Available on Azure, AWS Bedrock, and Google Vertex AI

### Google
- Gemini 3.5 Flash — May 19 2026, 83.6% MCP Atlas, 1M context
- Gemini 3.1 Pro — 94.3% GPQA Diamond, enterprise reasoning
- Deployed via Google Vertex AI and AWS Bedrock

### Open source and sovereign cloud
- Meta LLaMA 3 (70B, 405B) — for air-gapped and sovereign deployments
- Mistral Large — EU-sovereign, GDPR-aligned
- DeepSeek V4 Pro — open-source, 1M context, $1.74 per 1M tokens
- NVIDIA Nemotron 3 Nano Omni — 30B multimodal, vision, audio, and text

### AI dev acceleration toolchain
- GitHub Copilot — multi-model: GPT-5.5 default, Claude Opus 4.7 on Pro+ plans
- Devin — autonomous coding agent, handles 40-60% of implementation per engagement
- Cursor — AI-native IDE with full codebase context
- Windsurf — AI-native IDE for complex cross-file implementation
- Pilot — AI-assisted PR governance, catches 60-70% of issues before human review
- v0 — rapid UI scaffolding from design specifications

## Cloud platform alignment
- Microsoft Azure — primary enterprise platform: Azure AI Foundry, Agent Framework 1.0, Entra ID, AKS, Durable Functions
- AWS — AWS Bedrock for multi-model routing, SageMaker, Lambda
- Google Cloud — Vertex AI for Gemini, BigQuery, GKE

## Six Azure Well-Architected pillars (applied to every engagement)
- Reliability: Durable Functions checkpointing, agent failover, human-in-the-loop recovery
- Security: Zero Trust, Entra ID, MCP endpoint scoping, SAST/DAST/SCA, SOC 2 Type II
- Cost Optimization: FinOps agent telemetry, model routing, token budget enforcement
- Operational Excellence: CMMI delivery, Langfuse eval suites, DORA dashboards, ADLC
- Performance Efficiency: AKS horizontal autoscaling, sub-500ms agent response SLAs
- Sustainability: low-carbon Azure region selection, efficient managed services, idle agent suspension

## WTA SPEED framework (90-day delivery)
- S — Strategy and AI Maturity Assessment (ISO 42001, CMMI, 90-day roadmap)
- P — Platform Architecture (Agent Framework 1.0, MCP + A2A design, GraphRAG pipelines)
- E — Engineering (Devin + Codex + Pilot + Cursor + Windsurf accelerated build)
- E — Evaluation (Langfuse eval suites, ADLC regression gates, golden datasets)
- D — Deployment and Continuous Intelligence (canary/blue-green, Azure Monitor, DORA)

## Services
- [AI Strategy and Governance](https://wethinkapp.ai/services/ai-strategy): ISO 42001, EU AI Act, NIST AI RMF, 90-day roadmap
- [AI-Native Product Engineering](https://wethinkapp.ai/services/product-engineering): Azure AI Foundry, Agent Framework 1.0, MCP-native, 90 days
- [Platform Modernization with AI Agents](https://wethinkapp.ai/services/platform-modernization): Legacy to agentic, strangler pattern, Durable Functions
- [Accelerated AI SDLC](https://wethinkapp.ai/services/sdlc): Devin, Codex, Pilot, Langfuse, 90-day delivery
- [AI-Enhanced Experience Design](https://wethinkapp.ai/services/experience-design): GraphRAG personalization, generative UI, v0, Devin
- [AI Delivery Pods and Agentic Platforms](https://wethinkapp.ai/services/agentic-platforms): GCCs, multi-agent on Agent Framework 1.0

## Industries
- [Financial Services and FinTech](https://wethinkapp.ai/industries/financial-services-fintech): Fraud detection agents, SOC 2, PCI DSS, Zero Trust
- [Healthcare and Life Sciences](https://wethinkapp.ai/industries/healthcare-life-sciences): HIPAA, GxP, FHIR, GAMP 5, clinical AI
- [Retail and Consumer Goods](https://wethinkapp.ai/industries/retail-consumer-goods): GraphRAG personalization, demand forecasting agents
- [Technology and SaaS Platforms](https://wethinkapp.ai/industries/technology-saas-platforms): AI-native SaaS, Microsoft co-sell, multi-tenant
- [Manufacturing and Smart Industrial](https://wethinkapp.ai/industries/manufacturing-smart-industrial): Digital twins, IEC 62443, Azure IoT, predictive agents
- [AI and Deep Tech](https://wethinkapp.ai/industries/ai-and-deep-tech): MLOps, model serving, evaluation infrastructure

## Key pages
- [Homepage](https://wethinkapp.ai): WTA identity — AI-native enterprise platforms in 90 days
- [Technology](https://wethinkapp.ai/technology): Full 2026 enterprise AI stack, all models, cloud platforms
- [Methodologies](https://wethinkapp.ai/methodologies): SPEED framework, ADLC, ISO 42001 governance
- [Case Studies](https://wethinkapp.ai/case-studies): 23+ AI-native transformation case studies
- [Blog](https://wethinkapp.ai/blog): Enterprise AI thought leadership — MCP, A2A, GraphRAG, ADLC, Agent Framework

## What WTA does not do
- Generic software development or SMB point solutions
- Staff augmentation without an AI-native delivery model
- Non-AI platforms or traditional IT services
- Engagements that cannot be scoped to a 90-day production milestone