Connect AWS cloud infrastructure to Salesforce Agentforce

Amazon Web Services is the cloud platform that engineering and platform teams use to run compute, storage, databases, and managed services at scale. Salesforce holds the commercial and service record of the customers whose workloads run on AWS. For software organisations delivering managed cloud services and SaaS products on AWS infrastructure, the connection between cloud resource state and the customer relationship in Salesforce is operationally important: when a customer contacts support about performance, the AWS service health and resource configuration is part of the accurate answer; when a new customer account needs cloud infrastructure, that provisioning should follow from the commercial deal close; and when a service health event affects a shared AWS resource, the Salesforce accounts in scope should be identified immediately. When Emerge Digital connects AWS to Agentforce, cloud infrastructure context becomes part of the commercial and service conversation layer.

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What this unlocks

AWS service and resource health readable during service conversations: when a customer reports a performance issue or service disruption, an agent can read the relevant AWS CloudWatch metrics, check the AWS Service Health Dashboard, or query the specific EC2 or RDS resource state for the customer's account — so the response is grounded in live cloud data rather than a generic status update.
Deal close triggers AWS environment provisioning: when a Salesforce opportunity closes for a managed cloud or SaaS customer, an agent can initiate the AWS provisioning workflow — creating the VPC, launching the EC2 or ECS resources, setting up the RDS instance, and configuring the S3 buckets — so the customer's cloud environment is ready at deal close rather than following a separate engineering handoff.
AWS cost and usage context in account briefings: AWS cost and usage data by customer account is relevant context in renewal and expansion conversations — an agent can read the current AWS spend for a managed customer and surface it in the account briefing alongside revenue and case data.
AWS account offboarding on contract end: when a Salesforce contract closes, an agent can initiate the AWS resource teardown for the customer's isolated account or environment — so decommissioning is prompt and documented rather than discovered when the next month's AWS bill arrives.

In the customer journey

Customer reports slow queries — agent reads RDS and CloudWatch

A managed SaaS customer contacts support reporting that their application queries are running 10 times slower than usual. The agent reads the CloudWatch metrics for the customer's RDS instance — CPU utilisation is at 94%, there are 120 waiting connections, and a backup job started 45 minutes ago. The agent has the root cause context immediately: the backup job is competing with query processing. An instance resize or backup schedule change is the resolution path.

Deal close triggers the customer AWS environment setup

A Salesforce opportunity closes for a new enterprise SaaS customer requiring a dedicated AWS environment. The agent reads the infrastructure specification from the contract, initiates the CloudFormation stack deployment for the customer's account — VPC, application servers, database, and S3 storage — and notifies the customer when the environment passes its health checks. The customer is ready to onboard without waiting for an engineering ticket.

AWS service event triggers customer impact assessment

An AWS Service Health event fires for a regional availability zone disruption. The agent identifies the Salesforce accounts with infrastructure in the affected zone, surfaces their SLA commitments, and prepares a customer impact assessment for the service team. The account managers are informed and the accounts with the strictest SLA terms are flagged for priority handling before the first customer call arrives.

Why not AWS's native Salesforce integration?

AWS Marketplace has Salesforce connector products and AWS provides some integration patterns via EventBridge and API Gateway. What they do not provide is live AWS resource state — CloudWatch metrics, Service Health events, EC2 and RDS resource configuration — queryable by a Salesforce Agentforce agent in real time during a customer service conversation: a service agent cannot ask AWS's native integrations for the current CPU utilisation on a customer's RDS instance, identify which Salesforce accounts are in an affected AWS availability zone, or trigger a CloudFormation stack deployment when a Salesforce opportunity closes. Emerge Digital builds the retrieval and action layer that makes AWS infrastructure context genuinely available to agents in commercial and service workflows.

AWS's Agentforce integration is most relevant for software organisations that provide managed cloud services or SaaS products running on AWS — where the cloud infrastructure is part of the service delivered to customers and where commercial events should drive infrastructure provisioning and decommissioning. It is active throughout the commercial relationship: at onboarding (provisioning), in the active relationship (service health and support), and at contract end (offboarding).

How Emerge integrates Amazon Web Services

Emerge Digital connects AWS to Salesforce Agentforce as a consulting engagement. We map which AWS services, resource types, and data points are relevant to customer-facing workflows — CloudWatch metrics, EC2 and RDS state, Service Health events, and cost and usage data — configure the Salesforce deal-close triggers that initiate AWS provisioning workflows, build the resource state query interface for service agents, and set the access boundaries that govern which agents can read and act on which AWS resources. We are a Google Cloud Partner, and the integration principles developed here apply symmetrically across multi-cloud environments.

How we structure an engagement

Related integrations

FAQ

Can the agent create or terminate EC2 instances or modify AWS resources autonomously?

Infrastructure modification actions have real cost and availability consequences. Provisioning runs that create new customer environments are triggered by confirmed commercial events with appropriate oversight; destructive actions like instance termination or resource deletion require engineering approval. Agents surface infrastructure state and initiate pre-defined workflows; they do not perform ad hoc resource management.

We use Azure or Google Cloud instead of AWS — can you connect those instead?

Yes. Emerge has equivalent integration patterns for Microsoft Azure and Google Cloud Platform (GCP). As a Google Cloud Partner, Emerge has particular depth on the GCP integration. The cloud infrastructure integration use case — service health in customer conversations, commercial event-driven provisioning, and cost context in account briefings — applies across major cloud providers.

Our customers have their own AWS accounts — does this integrate with the customer's account or ours?

This depends on your service delivery model. If you provision and manage infrastructure in a shared AWS account, the integration reads from that account. If customers have their own AWS accounts and you manage them under a support arrangement, the integration can be scoped to cross-account access with the customer's consent and appropriate IAM role delegation.

How long does an AWS + Agentforce integration take?

A focused engagement typically runs four to eight weeks: mapping which AWS services and resource types are in scope, configuring provisioning triggers and health event detection, building the resource state query interface, and testing service health response, environment setup, and offboarding workflows. Multi-account organisations or those with complex VPC architectures add time.

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