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Jarvis AI›Claude on Bedrock

Claude Desktop on Amazon Bedrock

Bring Claude Chat, Cowork, and Code to your teams with inference billed through Amazon Bedrock. ASCENDING helps configure enterprise sign-in, AWS access, desktop policies, and usage monitoring - with no Desktop 3P seat licensing.

AWS Partner - AI Services Competency
AWS PartnerAI Services CompetencyValidated delivery expertise for enterprise AI on AWS.
Deployment Options

First-Party Claude or Desktop on 3P?

Desktop on 3P is a distinct deployment mode, not a Bedrock add-on to your Claude subscription. Choose it when your organization requires AWS-governed inference; first-party Team or Enterprise plans may be simpler when those requirements do not apply.

First-party plans

Claude Team / Enterprise


First-party Claude plans provide an Anthropic-hosted workspace. Pricing and included usage follow your plan or enterprise agreement. They are separate from a Claude Desktop on third-party (3P) deployment using Amazon Bedrock.

FeatureAvailability
Chat / Cowork / Code✓Supported
Web / mobile access✓Supported
Project / plugin sharing✓Supported
MCP connectors✓Supported
Keep a first-party plan where web, mobile, or shared-workspace features are required. Desktop 3P is not an automatic migration of your existing subscription.
Third-party deployment

Claude Desktop on Bedrock


Claude Desktop on 3P supports Chat, Cowork, and Code with inference routed to Amazon Bedrock. Desktop 3P has no seat licensing: model usage is billed by AWS on a token-based consumption model, rather than drawing from a Team or Enterprise subscription allowance.

FeatureAvailability
Chat / Cowork / Code✓Supported
Web / mobile access—Not available
Project / plugin sharing—Not available
MCP connectors✓Supported
Familiar desktop workflows, not full first-party feature parity. History and memory are local to the device; Bedrock web search needs a configured search provider. Compliance and Analytics APIs are not available in 3P.

See Anthropic's feature matrix for current availability.

Identity & Administration

Two Authentication Layers, One Deployment

The Enterprise Admin Console for Desktop 3P is hosted by Anthropic and currently in beta. An Anthropic representative must provision your organization; ASCENDING helps configure it rather than deploying the console into your AWS account.

Claude Organization Sign-In

Connect your corporate identity provider, such as Microsoft Entra ID through SAML, for Claude Desktop sign-in. The console manages users, groups, SCIM provisioning, desktop configuration, and per-group permissions. Users sign in to receive their settings.

AWS Inference Authentication

Separately, Desktop signs users in through AWS IAM Identity Center to obtain temporary AWS credentials. IAM permissions authorize Bedrock model calls. Identity Center can federate with Entra ID so users use their existing corporate credentials; the native Desktop flow does not require the AWS CLI.

Desktop and Standalone Code

Code sessions launched in Desktop use its configured inference provider. Standalone Claude Code CLI needs separate AWS credential and managed-settings configuration. MDM or bootstrap delivery is an alternative to the beta console.

Official setup guides: Enterprise Admin Console, Desktop on Bedrock, and Claude Code CLI on Bedrock.

Capabilities

Add Jarvis Governance to Your Bedrock Deployment

Native Desktop administration and AWS IAM provide the deployment foundation. Jarvis is an optional additional governance layer for model and tool traffic routed through it, not a requirement for using Claude Desktop on Bedrock.

📊

Cost Attribution

See exactly how much each department, project, or application spends on Claude - broken out, reportable, and actionable.

🔔

Spending Alerts & Budgets

Set per-team or per-application spending limits with automatic alerts before budgets are exceeded.

🔒

Access & Model Control

Decide which teams can access which Claude models. Enforce policies using the same identity system you already run.

📋

Audit-Ready Logs

Every request is captured and searchable - exportable and ready for your next security or compliance review.

🏛️

Data Stays in Your AWS Account

Prompts, files, and responses never leave your AWS environment and are never used to train models.

🔗

One Invoice, All AI

Claude spend consolidates onto your AWS bill alongside every other service - no separate vendor contracts.

01—Cost Attribution

Know Exactly Which Teams Are Driving Your AI Bill

When AI usage is spread across individual subscriptions, finance can't report on it and managers can't manage it. With Claude on Bedrock, every dollar of AI spend is tied to a department, project, or application.

Department-level reportingProject-level breakdownFinance-ready exports

02—Spending Monitoring

Catch Budget Overruns Before They Happen

AI usage can spike fast. ASCENDING deploys a spending monitoring agent in your environment that watches budget in real time, alerts your team before costs run over, and answers plain-English questions about spend.

Real-time budget alertsAnomaly detectionNatural language queriesFree with deployment

03—Model Control

Match the Right AI to the Right Job and Budget

A support team answering FAQs does not need the same AI capability as an engineering team writing production code. Bedrock lets you align model access to actual need and eliminate unnecessary spend.

Per-team model policiesCost right-sizingCentrally managed

04—Governance Foundation

One Set of Rules for Every AI User in Your Organization

A Bedrock governance foundation gives every user the same policy framework: who can access AI, what they can do with it, and what it costs - managed by IT and operations without touching individual accounts.

Centralized access policiesSpend caps per teamFull audit trailSSO integration

05—Data Security & Privacy

Your Business Data Stays in Your Business

Running Claude on Bedrock means AI processing happens inside your AWS account under your security policies. Sensitive prompts, files, and responses stay within your business boundary.

Data stays in AWSNot used to train modelsRegional residencyYour encryption keys

06—Best Practices

Start Governed. Scale With Confidence.

ASCENDING establishes the right foundation from day one: secure architecture patterns, internal data connectivity, Infrastructure as Code, and operational enablement for your teams.

Proven architecture patternsInternal data connectivityOps team enablementInfrastructure as Code
How We Work

Up and Running in 3 Business Days

ASCENDING uses automation and Infrastructure as Code to spin up your entire Bedrock governance framework within 3 business days - no lengthy professional services engagement, no manual configuration, no disruption to your teams in the process.

Day 1

Foundation & Access

Our automated IaC templates deploy the complete governance framework into your AWS environment - wiring up your identity system, configuring team access policies, and activating cost attribution so every team's spend is visible from hour one.

  • ✓Governance framework deployed via IaC
  • ✓Team access and model policies configured
  • ✓Cost attribution and budget alerts live
Day 2

Data, Security & Monitoring

We review your internal data sources and current application integrations, validate your security architecture to ensure all AI workloads stay inside your AWS boundary, and deploy the spending monitoring agent that watches your budget continuously.

  • ✓Internal data sources reviewed & connected
  • ✓Secure architecture validated
  • ✓Spending monitoring agent deployed (free)
Day 3

Handoff & Ops Enablement

Your operations team receives everything needed to manage the environment independently - runbooks, escalation paths, and a clear understanding of how to adjust policies and budgets as your AI usage evolves over time.

  • ✓Operations runbooks delivered
  • ✓Team walkthrough of all governance controls
  • ✓Expansion roadmap & next steps documented

Ready to Put Claude Usage Under Control?

ASCENDING helps configure Claude Desktop on 3P with enterprise sign-in and AWS inference authentication. Add Jarvis governance where your deployment requires it.

At a glance

Optional Jarvis governance

Claude Desktop on 3P uses native desktop administration and AWS IAM for Bedrock access. The rows below describe the optional Jarvis governance layer for traffic routed through it, not prerequisites for a native Desktop deployment.

Reference facts for optional Jarvis governance around Claude and Amazon Bedrock model access.
Governance questionWhat Jarvis adds on top of Bedrock
Who may call which model?Azure EntraID identity mapped to per-model ACL entries, rather than a shared account-level Bedrock permission.
What data reaches the model?Guardrails apply PII redaction and denied-topic filtering before the request leaves your boundary.
Where does spend come from?Usage is attributed per identity and per team, so model cost is traceable to the workload that produced it.
What is retained?Prompts, responses, and decisions are logged inside your own account for audit and SIEM ingestion.
Which clients are covered?Any MCP-compatible client, so the same policy applies whether the caller is a copilot, an agent, or Jarvis Chat.
How is it procured?Bedrock is consumed through your existing AWS account; Jarvis is licensed through AWS Marketplace alongside it.
Specifications

Optional Jarvis governance

Native Desktop on 3P uses AWS IAM for Bedrock inference authentication. These specifications describe the optional Jarvis governance deployment, not Desktop 3P licensing or its native authentication requirements.

Identity, policy, and accounting specifications for optional Jarvis governance on Amazon Bedrock.
SpecificationValue
Model runtimeAmazon Bedrock, inference inside the customer AWS account
Data leaving the account0 bytes of prompt or response content
Caller identityAzure EntraID via OpenID Connect Core 1.0; SAML 2.0 also supported
AuthorizationOAuth 2.0 (RFC 6749), Bearer usage per RFC 6750
Token formatJSON Web Token (RFC 7519)
Access granularity1 ACL entry per model, evaluated on every request
Cost attributionPer identity and per team rather than 1 account-level total
Guardrails100+ prebuilt policies across 4 control layers, applied before the model call
Transport securityTLS 1.2 minimum, TLS 1.3 preferred (RFC 8446)
Denial responsesHTTP 401 unauthenticated, HTTP 403 policy denial
Audit retentionHeld in the customer account under existing retention policy — 0 vendor copies
Client coverageAny MCP client; 6 named copilots supported out of the box
Zero-trust modelNIST SP 800-207 (2020)
AI governance modelNIST AI RMF 1.0 (2023)
Runtimes3 managed Kubernetes services — Amazon EKS, Azure AKS, Google GKE
ProcurementAWS Marketplace, 3 standard tiers, USD 18,000–60,000, plus private offers
Watch

The optional Jarvis governance framework

The governance model behind the table above, explained end to end: identity at the edge, policy at authorisation, and telemetry across every model and tool call in the estate.

Jarvis Registry: The 3-Layer Governance Framework for Enterprise AI · 2 min 51 sec
Rollout

How to add optional Jarvis governance

The sequence below assumes Bedrock access already exists and the gap is control rather than connectivity. Each step is additive, so an existing Bedrock workload keeps working while governance is layered on.

  1. Establish identity first. Connect Azure EntraID so every model call carries a real user or service identity rather than a shared key.

  2. Scope model access. Write per-model ACL entries so teams reach only the Claude and Bedrock models their work requires.

  3. Turn on guardrails. Enable PII redaction and denied topics so sensitive content is filtered before a request reaches the model.

  4. Attribute usage. Route calls through the gateway so token consumption is recorded per identity and per team, not per account.

  5. Review the trail. Feed the audit log into your existing SIEM and use it to tune policy before widening access.

In practice

Governance and audit around model access

The controls that matter for a regulated deployment are the ones applied before the request leaves your environment and the record kept after it returns.

ASCENDING and Anthropic partnership badge for governed Claude deployments on AWS
ASCENDING delivers Claude deployments governed inside customer AWS accounts.
Audit and transparency view logging every enterprise AI model interaction for compliance
Every interaction is logged in your own account for audit and SIEM ingestion.
FAQ

Frequently asked questions about Claude on Bedrock

Compare native Claude Desktop on 3P deployment, consumption pricing, enterprise authentication, and optional Jarvis governance.

No. Claude Desktop on third-party platforms has no seat licensing. Amazon Bedrock inference is billed by AWS on a token-based consumption model, separate from a Claude Team or Enterprise subscription allowance.

Model, region, inference option, and applicable input, output, and cache usage determine inference charges. ASCENDING implementation services, optional Jarvis licensing, and supporting AWS resources are separate costs. Existing first-party subscriptions remain separately billed if retained; consumption pricing does not guarantee savings.

The Enterprise Admin Console for Desktop 3P is hosted by Anthropic, not self-hosted in your AWS account. It is currently in beta, and your Anthropic representative must provision an organization for the deployment.

ASCENDING helps configure organization sign-in, users, groups, SCIM provisioning, and desktop settings. MDM or bootstrap delivery is an alternative to the beta console.

Claude organization sign-in and inference authentication are separate layers. Connect an identity provider such as Microsoft Entra ID through SAML for Claude Desktop sign-in and delivery of managed configuration.

For native Bedrock inference, Desktop signs users in through AWS IAM Identity Center to obtain temporary AWS credentials authorized by IAM permissions. Identity Center can federate with Entra ID, so users use existing corporate credentials. The native Desktop sign-in flow does not require the AWS CLI; console sign-in does not itself authorize Bedrock calls.

Desktop on 3P supports familiar Chat, Cowork, and Code workflows, projects, file access, and local and remote MCP connectors, including Microsoft 365 connectors. It is not full first-party feature parity, and Microsoft 365 connector support is not a claim that all Claude for Microsoft 365 products route through Bedrock.

Web and mobile clients, project and plugin sharing, and Compliance and Analytics APIs are not available in 3P. History and memory are local to the device, and Bedrock web search requires a configured search provider. Check Anthropic's current feature matrix before deciding whether to retain a first-party subscription.

Code sessions launched from Claude Desktop use its configured inference provider. Standalone Claude Code CLI is a separate setup using AWS credentials and its own managed settings for Bedrock.

The POC should validate each client the customer intends to use rather than assuming Desktop configuration also governs an independently installed CLI.

Bedrock keeps inference inside your AWS account, which solves the data-boundary question. AWS IAM permissions control model access, while Desktop administration provides configuration and group policies.

Jarvis is optional for additional gateway policies, filtering, and team attribution on traffic routed through it. A gateway is not required to use native Claude Desktop on Bedrock.

Calls carry the caller’s identity, so token consumption is recorded per user and per team rather than aggregated at the account level.

That is normally the first reporting requirement finance asks for once more than 1 department is using the same model access.

Guardrails inspect the request before it leaves your environment, applying PII redaction and denied-topic filtering according to the policy in force for that caller.

Because the check runs on the way out rather than at the model, the same policy covers every client — copilots, agents, and chat alike.

Yes. The gateway fronts multiple model providers, so a team can use Claude on Bedrock for one workload and a different model for another without changing how access is governed.

Policy is written against identities and models, not against a single provider, so adding a model is a configuration change rather than a re-architecture.

See all questions
Related resources

Jarvis resources

Explore optional Jarvis capabilities alongside native Claude Desktop on Bedrock deployment.

Sources

Standards and references

ASCENDING is an AWS Advanced Tier Services Partner with the AWS Generative AI Competency, and builds Jarvis as licensed software that runs inside your own cloud account. The primary sources below cover the model runtime and the control frameworks referenced above.