AI Agents in Production: Which Platform Fits Your Business?

Executive Summary

AI agents that autonomously handle tasks and orchestrate processes are production-ready today. Amazon Web Services unveiled a mature enterprise infrastructure with AgentCore at AWS Summit New York 2026. But AWS is not the only option: Microsoft Azure AI Foundry, Google Vertex AI Agent Builder and the Vercel AI SDK each offer compelling approaches with distinct strengths. The right choice depends on your organisation – not the hype.

AWS Summit New York 2026

Latest AgentCore features generally available (GA)

Gartner (2025)

Over 40% of AI agent projects fail at pilot stage

Druva case study

68% of support requests handled automatically

Vercel AI SDK

Open-source framework for production-ready AI agents in web environments

Swiss relevance

AWS Region Zurich, Azure Switzerland North, FINMA Guidance 08/2024 applicable

Why AI Agents Demand Serious Attention Now

According to Gartner (2025), more than 40 per cent of all AI agent projects fail at the pilot stage – not because the technology falls short, but because organisations underestimate the leap from demo to productive integration. The major cloud platforms and specialised frameworks such as the Vercel AI SDK have responded with concrete solutions to precisely these challenges.

The Four Leading Platforms Compared

There is no universally best platform for AI agents today. Each solution has clear strengths – and clear prerequisites. Here is a sober overview for decision-makers.

Amazon Bedrock AgentCore – For Scale-Hungry AWS Organisations

Amazon Bedrock AgentCore is the most comprehensive infrastructure for enterprises already on AWS. Core strengths: agents remember past interactions, behavioural rules define the guardrails, a central knowledge base indexes internal company data, and a web search tool provides real-time information. At AWS Summit New York 2026, these features were released as generally available. Swisscom uses AgentCore on the AWS Zurich region for automated customer support and sales processes.

Microsoft Azure AI Foundry – For Microsoft 365 Environments

Azure AI Foundry is the natural choice for organisations already built on Microsoft. Tight integration with Microsoft 365, Teams, Dynamics and the broader Azure ecosystem makes embedding AI agents into existing workflows considerably easier. Copilot Studio allows even less technical teams to build initial agents. The strength lies in the breadth of integration.

Google Vertex AI Agent Builder – For Data-Heavy Use Cases

Google Vertex AI Agent Builder excels where large data volumes, powerful search and multimodal content – text, image, video – play a role. Integration with BigQuery, Google Search and Gemini makes it particularly attractive for data-driven industries such as financial services, retail or media.

Vercel AI SDK – For Agile Teams and Web-Native Businesses

The Vercel AI SDK is an open-source framework specialising in production-ready AI applications in modern web environments. It connects development teams to leading language models – OpenAI, Anthropic, Google, Mistral and others – and enables agent workflows to be embedded directly into web applications without cloud vendor lock-in. The SDK supports agentic workflows out of the box and deploys on the Vercel platform with minimal friction. For start-ups, scale-ups and digitally native SMEs, it is a lean, flexible alternative to the hyperscaler platforms.

Decision Matrix: Which Platform for Which Organisation?

AWS-first strategy, high scalability

Amazon Bedrock AgentCore

Microsoft 365 ecosystem, broad integration

Azure AI Foundry

Data-intensive, multimodal use cases

Google Vertex AI Agent Builder

Web-native teams, open source, no cloud lock-in

Vercel AI SDK

Data sovereignty and nDSG sensitivity (CH)

AWS Zurich or Azure Switzerland North plus Governance Layer

Governance and Data Protection: The Swiss Standard

For Swiss organisations, the same governance questions arise regardless of platform: Where is data processed? Who has access? How are agent decisions made traceable? FINMA Guidance 08/2024 requires clear supervisory rights, audit trails and exit scenarios for outsourced AI operations. Article 716a CO obliges the board to oversee material AI-driven processes.

AWS and Azure both operate Swiss data centres, facilitating in-country data residency. Vercel enables geographic control via edge deployments. In every case, what matters is not only the platform but the governance layer on top: who defines what the agent may do, and who verifies what it actually does.

Recommendation for Swiss Decision-Makers

The first step is not a platform decision – it is a use-case decision. Which process do you want to automate? Which systems are already in place? What internal know-how is available? These answers determine whether Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI or the Vercel AI SDK is the right starting point. Selecting the objectively best platform without clarifying your own context is technology politics – not business strategy.

The platform is not the strategy. The strategy determines the platform.