Cloud & AI engineering

Four clouds.
One standard for agents.

AWS, Azure, Google Cloud and IBM have each rebuilt their AI platforms around agents. We help you pick the right one for each workflow and engineer it into something your business can rely on.

Four cloud AI stacks, AWS, Azure, Google Cloud and IBM, each with six layers from experience to trust, joined by one delivery practice above and your data and systems belowONE DELIVERY PRACTICEidentity · tools · evaluation · operations · costBedrock AgentCoreExperienceAgentsToolsKnowledgeModelsTrustAWSMicrosoft FoundryExperienceAgentsToolsKnowledgeModelsTrustAZUREAgent PlatformExperienceAgentsToolsKnowledgeModelsTrustGOOGLE CLOUDwatsonx OrchestrateExperienceAgentsToolsKnowledgeModelsTrustIBMYOUR DATA AND SYSTEMSdocuments · warehouses · business applications · mainframes
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What changed this year

Six shifts every cloud made at once.

Between late 2025 and late 2026 the four platforms converged on the same ideas, under different names.

  • Agents got a managed home.

    Every platform now runs agents as a service, with sessions, memory and isolation handled for you.

    AgentCore Runtime · Foundry Agent Service · Agent Runtime · watsonx Orchestrate

  • MCP became the standard plug.

    Tools are connected once through the Model Context Protocol and reused across agents and platforms.

    AgentCore Gateway · Foundry MCP tools · Agent Gateway · Orchestrate ADK

  • Agents got their own identities.

    An agent can now be granted, reviewed and revoked like an employee account, not hidden behind a shared key.

    AgentCore Identity · Entra Agent ID · Agent Identity

  • Evaluation moved into the platform.

    Quality is scored continuously in production, with traces for every step an agent takes.

    AgentCore Evaluations · Foundry Control Plane · Agent Platform Evals · watsonx.governance

  • Operations and modernization went agentic.

    Cloud providers now ship agents that investigate incidents, explain costs and modernize old code.

    AWS DevOps Agent · Azure SRE Agent · Gemini Cloud Assist · IBM Bob

  • Claude is on every major platform.

    You can use the same model family whichever cloud you run, inside that cloud’s own security controls.

    Amazon Bedrock · Microsoft Foundry · Agent Platform · IBM software

Same job, four names

The agent stack, side by side.

What each platform calls the parts we design and build. The engineering behind each row is the same wherever you run.

The jobAWSAzureGoogle CloudIBM
Agent platformAmazon Bedrock AgentCoreFoundry Agent ServiceAgent Runtime on Gemini Enterprise Agent Platformwatsonx Orchestrate
Agent frameworkStrands AgentsMicrosoft Agent FrameworkAgent Development KitOrchestrate ADK · Langflow
Tools and MCPAgentCore GatewayMCP tools · Foundry MCP ServerMCP servers · Agent GatewayMCP and OpenAPI tools · ContextForge
Knowledge and retrievalBedrock Knowledge Bases · S3 VectorsFoundry IQ · Azure AI SearchAgent Search · RAG Engine · BigQuerywatsonx.data · Docling
ModelsClaude · Amazon Nova 2Claude · OpenAI modelsGemini · ClaudeGranite 4 · Claude through the AI Gateway
Identity and safetyAgentCore Identity and Policy · Bedrock GuardrailsEntra Agent ID · Guardrails and controlsAgent Identity · Model ArmorGuardium AI Security · Orchestrate guardrails
Evaluation and governanceAgentCore Evaluations and ObservabilityFoundry Control Plane · Agent 365Agent Platform Evals · Agent Registrywatsonx.governance · AgentOps
Operations agentsAWS DevOps AgentAzure SRE AgentGemini Cloud AssistInstana
ModernizationAWS TransformGitHub Copilot modernization · Azure MigrateMigration CenterIBM Bob modernization packages
Cost visibilityBedrock cost allocation · inference profilesCost Management · FinOps hubsFinOps hub · Cloud Assist FinOps agentCloudability · Turbonomic · Kubecost
Sovereign and hybridAWS GovCloud (US) · private networkingAzure Local · Foundry LocalGoogle Distributed Cloud air-gappedIBM Sovereign Core · Red Hat OpenShift

Four platforms

Choose the one that fits your systems.

Most organizations already have a home cloud. We start there, and add another only when a workflow needs it.

Bedrock AgentCore

Amazon Web Services

AWS made agents a managed service. The decisions are still yours.

  • Runtime
  • Gateway
  • Memory
  • Identity
  • Policy
  • Evaluations
Explore AWS

Microsoft Foundry

Microsoft Azure

Your agents should inherit your identity model, not invent a new one.

  • Agent Service
  • Foundry IQ
  • Model router
  • Entra Agent ID
  • Guardrails
  • Control Plane
Explore Azure

Agent Platform

Google Cloud

The best agent answers come from data you already trust.

  • Agent Runtime
  • ADK
  • Memory Bank
  • Agent Identity
  • Agent Gateway
  • Model Armor
Explore Google Cloud

watsonx Orchestrate

IBM Cloud & watsonx

Hybrid is not a phase. Design for it.

  • Agent Catalog
  • ADK
  • AgentOps
  • MCP tools
  • Guardrails
  • Governance
Explore IBM

Our services, on any of the four

One journey, whichever cloud you run.

The same five stages of work, from deciding what to build to keeping it healthy in production.

01Start

Decide what is worth doing.

  • AI Innovation Workshop

    Rank your AI ideas, then decide which platform each one belongs on.

    Any cloud

  • Challenge24

    Your top use case working on your cloud, in three business days.

    Bedrock · Foundry · Agent Platform · watsonx

02Build

Build the system.

  • Applied AI and agents

    Agents on the managed runtime of your chosen cloud, connected through MCP.

    AgentCore · Agent Service · ADK · Orchestrate

  • AI-infused software

    The application around the agent, built cloud-native.

    Serverless · containers · managed databases

03Strengthen

Make it dependable.

  • Enterprise AI Hardening

    Agent identity, policy, guardrails and evaluations before production.

    Each platform’s identity and safety services

  • Legacy Modernization

    Aging applications moved with the provider’s modernization agents and our engineers.

    Transform · Copilot modernization · Bob

04Run

Keep it healthy.

  • SRE as a Service

    Production watched by agents, with engineers accountable for every decision.

    Provider operations agents · your tooling

  • AI FinOps

    AI and cloud spend attributed and optimized across providers.

    Native cost tools · FinOps practice

  • AI Governance and Evaluation

    One inventory and evaluation record, even when agents span clouds.

    Registries · evaluations · risk reviews

05Extend

Add capacity.

  • Engineering teams

    Engineers who know your platform, working inside your team.

    AWS · Azure · Google Cloud · IBM

How we approach it

The connections make it useful.

We carry the work from application design through integration, release and ongoing improvement. Every cloud project starts with three questions.

  1. 01

    Start with the workflow

    Understand the people, information and decisions before choosing the services.

  2. 02

    Connect the existing systems

    Design around identity, business data and the applications your team already relies on.

  3. 03

    Make operation part of delivery

    Plan evaluations, monitoring, release processes and ownership alongside the first useful feature.

Already on a cloud? Or deciding where to begin?

Tell us what you’re building and what needs to connect. We’ll work through the options with you.

Talk about your project