Claude via AWS Bedrock in Australia: Data Residency and Compliance

Table of Contents

1. Why Claude via AWS Bedrock Matters for Australian Enterprises
2. Data Residency: The Core Compliance Driver
3. AWS Bedrock Architecture and Regional Availability in Australia
4. Claude Models Available via Bedrock in Australia
5. Pricing and Cost Considerations for Australian Deployments
6. Compliance Frameworks: SOC 2, ISO 27001, and Privacy Act
7. Bedrock vs Direct Anthropic API: When to Use Each
8. Implementation Roadmap for Australian Regulated Businesses
9. Common Pitfalls and How to Avoid Them
10. Next Steps: Getting Started with PADISO

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Why Claude via AWS Bedrock Matters for Australian Enterprises

Australian enterprises—especially those in financial services, healthcare, and government—face mounting pressure to keep customer data onshore. The Privacy Act 1988 (Cth) and Australian Privacy Principles (APP) create a legal framework that increasingly favours domestic data residency. When you pair that regulatory reality with the need for cutting-edge generative AI, the choice of how to deploy Claude becomes mission-critical.

AWS Bedrock offers Australian businesses a way to use Claude—Anthropic’s leading large language model—while maintaining data sovereignty. Instead of sending prompts and responses across international borders to Anthropic’s direct API, you can route inference through AWS regions in Australia, keeping sensitive information within Australian geographic boundaries.

This matters because data residency isn’t just a compliance checkbox. It’s about reducing latency, meeting audit requirements, and building customer trust. When you’re handling financial transactions, patient records, or government intelligence, your infrastructure choices signal to regulators and customers that you take security seriously.

The challenge, however, is understanding when Bedrock makes sense versus using Anthropic’s direct API, what pricing looks like, and how to architect a solution that actually passes audit. That’s what this guide covers.

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Data Residency: The Core Compliance Driver

What Data Residency Actually Means

Data residency means your data—prompts, responses, and any context sent to the model—stays within a specific geographic region. For Australia, that typically means data remains within AWS Sydney Region (ap-southeast-2) or, in some cases, cross-region inference that doesn’t leave Australian territory.

This is different from data sovereignty, which is about legal control and jurisdiction. Data residency is the technical mechanism that supports sovereignty. If your data is physically located in Australia and processed by Australian infrastructure, it’s far easier to argue that it’s subject to Australian law and not transferred to foreign jurisdictions.

Australian Privacy Act and APP 8

The Australian Privacy Principles (APP 8, specifically) govern cross-border disclosure. APP 8 states that organisations must take reasonable steps to ensure overseas recipients don’t breach Australian Privacy Principles. If your data leaves Australia to be processed by Anthropic’s servers in the US, you become responsible for ensuring Anthropic complies with Australian law—a harder sell to regulators and customers.

Using Bedrock in Sydney Region sidesteps this. Data stays in Australia. Processing happens in Australia. Your compliance story is cleaner.

ASD Cloud Computing Guidelines

For government and defence contractors, the Australian Signals Directorate Cloud Computing Guidelines add another layer. ASD recommends cloud services with strong locality controls and Australian data residency for sensitive workloads. Bedrock in Sydney Region aligns with those recommendations.

If you’re building AI systems for Australian government agencies or if your customer base includes government buyers, data residency via Bedrock isn’t optional—it’s expected.

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AWS Bedrock Architecture and Regional Availability in Australia

How Bedrock Works

AWS Bedrock is a fully managed service that provides access to foundation models (including Claude) via API. You don’t manage the underlying infrastructure; AWS handles scaling, patching, and availability. You pay per token (input and output), similar to Anthropic’s direct API, but with the added benefit of regional isolation.

When you call Bedrock, your request goes to the AWS region you specify. If you specify Sydney (ap-southeast-2), your data is processed in Sydney. No cross-region routing by default. No data leaving Australia unless you explicitly configure it otherwise.

Claude Availability in AWS Sydney Region

As of early 2025, the upgraded Claude 3.5 Sonnet is available in AWS Sydney Region, with IRAP (Information Security Registered Assessors Program) assessment underway. This is significant: IRAP is Australia’s security assessment scheme for cloud services used by government and critical infrastructure. Bedrock’s availability in Sydney and its IRAP trajectory mean Australian government agencies can now use Claude via Bedrock with confidence.

The Regional availability documentation provides the canonical source for which Claude models are available in which regions. As of this writing, Claude 3.5 Sonnet and Claude 3 Haiku are available in ap-southeast-2 (Sydney). Older models like Claude 3 Opus are available via cross-region inference.

Cross-Region Inference for Australia

AWS recently introduced cross-region inference for Claude Sonnet 4.5 and Haiku 4.5 in Japan and Australia. This is a game-changer for Australian enterprises that need the latest Claude models but want to avoid sending data overseas.

Cross-region inference works by routing your request to the nearest available region that has the model, but keeping the data within Australian geographic boundaries. From a compliance standpoint, this is nearly as strong as direct Sydney Region processing—the data doesn’t leave Australia, even if it’s technically processed across multiple Australian availability zones or through AWS’s Australian infrastructure backbone.

For enterprises pursuing SOC 2 compliance or ISO 27001 certification, cross-region inference in Australia is a legitimate way to access newer Claude models while maintaining audit-ready data residency.

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Claude Models Available via Bedrock in Australia

Current Model Lineup

As of early 2025, the following Claude models are available via Bedrock in Sydney Region:

• Claude 3.5 Sonnet: The most capable Claude model, optimised for complex reasoning, coding, and creative tasks. Available natively in Sydney Region. Best for knowledge work, content generation, and agentic AI workflows.
• Claude 3 Haiku: The fastest and most compact Claude model, ideal for real-time applications, high-volume processing, and cost-sensitive workloads. Available natively in Sydney Region.
• Claude 3 Opus: Anthropic’s previous flagship, now available via cross-region inference for Australia. Useful for legacy integrations but not recommended for new deployments.

For Australian enterprises, Claude 3.5 Sonnet is the recommended choice for most use cases. It offers the best balance of capability, speed, and cost, and it’s natively available in Sydney Region with strong compliance credentials.

Model Selection for Compliance-Sensitive Workloads

When you’re building AI systems that need to pass audit, model choice matters. Claude 3.5 Sonnet’s native availability in Sydney Region means you can document data residency clearly in your security controls. When auditors ask, “Where does the data go?” you can point to AWS’s Sydney Region and be done.

If you’re using cross-region inference, you’ll need to document it more carefully. It’s still compliant—data stays in Australia—but it requires additional explanation. For highly regulated workloads (financial services, healthcare), native Sydney Region availability is preferable.

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Pricing and Cost Considerations for Australian Deployments

Bedrock Pricing Model

AWS Bedrock pricing is per-token, billed monthly. As of early 2025, pricing for Claude models in ap-southeast-2 (Sydney) is:

• Claude 3.5 Sonnet: ~$3 per 1M input tokens, ~$15 per 1M output tokens (pricing varies by region and is subject to change; check AWS Bedrock pricing page for current rates).
• Claude 3 Haiku: ~$0.80 per 1M input tokens, ~$4 per 1M output tokens.

These are roughly equivalent to Anthropic’s direct API pricing, but with regional variation. Sydney Region pricing may be slightly higher than US regions due to infrastructure costs, but the difference is typically 10–15%.

Cost Optimisation Strategies

Batch Processing: If your workload allows asynchronous processing (e.g., overnight analysis of customer feedback, daily report generation), Bedrock Batch API offers 50% cost savings. Batches process overnight and return results within 24 hours. For Australian enterprises with non-real-time requirements, this is a massive lever.

Model Right-Sizing: Not every task needs Claude 3.5 Sonnet. Simpler classification tasks, template filling, and basic summarisation often work fine with Claude 3 Haiku, which is 3–4x cheaper. If you’re processing high volumes, switching from Sonnet to Haiku for 60% of your workload can cut costs by 40%.

Caching: Bedrock supports prompt caching, where frequently-used context (e.g., system instructions, reference documents) is cached and reused. The first request pays full price; subsequent requests within 5 minutes pay a 10% surcharge instead of full price. For document analysis or multi-turn workflows, caching can reduce costs by 20–30%.

Reserved Capacity: For predictable, high-volume workloads, AWS Bedrock Provisioned Throughput offers committed capacity at a discount. If you’re processing 100M+ tokens per month, reserved capacity can reduce per-token costs by 20–25%.

Bedrock vs Direct API: Cost Comparison

For most Australian enterprises, Bedrock and direct API pricing are within 10–15% of each other. The decision should be driven by compliance and data residency requirements, not cost. That said:

• Direct API (via Anthropic): Slightly cheaper per token, but data goes to US. Requires Privacy Act compliance documentation.
• Bedrock Sydney Region: Slightly higher per token, but data stays in Australia. Audit-ready. No Privacy Act workarounds needed.

For regulated workloads, the compliance simplicity of Bedrock is worth the marginal cost increase.

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Compliance Frameworks: SOC 2, ISO 27001, and Privacy Act

SOC 2 Type II Compliance

SOC 2 is a security audit standard that assesses controls across security, availability, processing integrity, confidentiality, and privacy. If you’re using Claude via Bedrock and you want to achieve SOC 2 compliance, data residency is a key control.

When your data stays in AWS Sydney Region, you inherit AWS’s SOC 2 Type II certification. AWS publishes its SOC 2 report annually, and Bedrock is explicitly covered. This means you can document data residency as a control and reference AWS’s audit as evidence.

The PADISO Security Audit service includes gap analysis and remediation specifically for teams using AI and cloud infrastructure. If you’re building Claude-powered systems and pursuing SOC 2, PADISO can help you map data residency controls, document Bedrock’s role in your security posture, and prepare for audit.

ISO 27001 Certification

ISO 27001 is a broader information security management standard. It covers everything from access control to incident response to supplier management. Data residency is one control among many, but it’s important.

ISO 27001 requires organisations to understand where their data goes and who processes it. By using Bedrock in Sydney Region, you simplify that story: data is processed by AWS in Australia, under Australian law, with documented security controls.

AWS itself is ISO 27001 certified, and that certification covers Bedrock. You can inherit those controls and build your own ISO 27001 program on top.

Privacy Act Compliance

The Privacy Act 1988 (Cth) and APP 8 create obligations around cross-border data disclosure. If you’re sending customer data to Anthropic’s US API, you’re triggering APP 8 obligations. You must ensure Anthropic complies with Australian Privacy Principles, which is possible but adds friction.

Using Bedrock in Sydney Region avoids this entirely. Data stays in Australia. APP 8 doesn’t apply (data isn’t crossing borders). Your privacy compliance story is simpler.

For health information, the Privacy Act is supplemented by the Privacy Rule in the Health Records Act 1988 (Cth). Health data has stronger protections and stricter cross-border rules. If you’re in healthcare, data residency via Bedrock is almost non-negotiable.

Vanta Integration for Audit-Ready Compliance

Vanta is a compliance automation platform that integrates with AWS, Bedrock, and other infrastructure to automatically collect evidence for SOC 2, ISO 27001, and other standards. If you’re using Bedrock and pursuing compliance, Vanta can monitor your configuration, flag misconfigurations, and generate audit reports.

PADISO works with Vanta to help Australian enterprises achieve SOC 2 and ISO 27001 compliance via automated evidence collection. When you’re using Bedrock in Sydney Region, Vanta can document that data residency control and include it in your audit package.

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Bedrock vs Direct Anthropic API: When to Use Each

Use Bedrock if:

1. Data Residency is Required: You’re in a regulated industry (financial services, healthcare, government) or your customers require Australian data residency. Bedrock in Sydney Region is the answer.

2. You’re Pursuing SOC 2 or ISO 27001: Bedrock’s regional isolation and AWS’s certifications make compliance easier to document and audit.

3. You Need Batch Processing: Bedrock Batch API offers 50% cost savings for non-real-time workloads. Direct API has no batch option.

4. You’re on AWS Already: If your infrastructure is in AWS (which it likely is if you’re an Australian enterprise), Bedrock integrates seamlessly with IAM, VPC, CloudWatch, and other AWS services. Direct API requires additional authentication and logging setup.

5. You Need Fine-Grained Access Control: Bedrock integrates with AWS IAM, allowing you to grant specific teams or services access to specific models. Direct API uses API keys, which are harder to audit and rotate.

6. You Want Provisioned Throughput: For predictable, high-volume workloads, Bedrock Provisioned Throughput offers committed capacity and cost savings. Direct API is on-demand only.

Use Direct Anthropic API if:

1. Data Residency Isn’t a Concern: If you’re building non-regulated applications (e.g., internal tools, non-sensitive SaaS), direct API is simpler and slightly cheaper.

2. You’re Not on AWS: If your infrastructure is on GCP, Azure, or on-premises, Bedrock adds complexity. Direct API is simpler.

3. You Need the Absolute Latest Models First: Anthropic typically releases new Claude models on direct API before Bedrock. If you need bleeding-edge features, direct API is faster.

4. You’re Prototyping: For rapid prototyping and proof-of-concept work, direct API is faster to set up. No AWS account, no IAM configuration, just an API key and you’re done.

5. You Want Simplicity Over Compliance: Direct API is simpler operationally. No regional configuration, no Bedrock-specific pricing tiers, no Provisioned Throughput decisions. Just send requests and pay per token.

The Hybrid Approach

Many Australian enterprises use a hybrid approach: Bedrock for production workloads that need compliance, direct API for prototyping and non-regulated experiments. This lets you move fast in development while maintaining compliance in production.

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Implementation Roadmap for Australian Regulated Businesses

Phase 1: Assessment (Weeks 1–2)

Define Your Compliance Requirements

• What regulations apply? Privacy Act, Health Records Act, ASD guidelines, industry-specific rules?
• What data will Claude process? Customer data, health information, financial records, government intelligence?
• What audit standards do you need? SOC 2, ISO 27001, IRAP, something else?

Evaluate Your Current Infrastructure

• Where is your data currently stored and processed?
• Are you already on AWS? If so, which regions?
• Do you have existing compliance programs or audit history?

Identify Use Cases

• What problems are you solving with Claude? Customer support, content generation, data analysis, code generation, agentic workflows?
• Which use cases are compliance-sensitive? Which can tolerate some risk?

Phase 2: Architecture Design (Weeks 3–4)

Design Your Data Flow

• Prompts and responses will flow through Bedrock in Sydney Region. Document this.
• Sensitive data (customer PII, health information) will be masked or anonymised before sending to Claude. Design the masking logic.
• Responses from Claude will be logged and audited. Design the logging and retention policy.

Choose Your Claude Model

• For most workloads, Claude 3.5 Sonnet in Sydney Region is the answer.
• For high-volume, cost-sensitive workloads, consider Claude 3 Haiku.
• Document your model selection rationale for audit.

Plan Your Compliance Architecture

• How will you document data residency? (AWS region configuration, VPC isolation, network logs)
• How will you control access? (AWS IAM, API key rotation, audit logs)
• How will you handle incidents? (What if data is accidentally sent outside Australia? How will you detect and respond?)

If you’re pursuing SOC 2 or ISO 27001 compliance, this is where PADISO’s expertise becomes valuable. We help you design architecture that’s audit-ready from day one, rather than retrofitting compliance after the fact.

Phase 3: Pilot Deployment (Weeks 5–8)

Start Small

• Pick one use case (e.g., customer support chatbot, internal document analysis).
• Deploy to Bedrock in Sydney Region with full logging and monitoring.
• Run it in production for 2–4 weeks with real data.

Monitor and Validate

• Are prompts and responses staying in Australia? Check CloudWatch logs and VPC Flow Logs.
• Is performance acceptable? Bedrock latency in Sydney is typically 100–500ms depending on model.
• Are costs in line with projections? Use AWS Cost Explorer to track Bedrock spend.
• Are users happy? Gather feedback from the team using the system.

Document Everything

• What data types does Claude process?
• How is sensitive data masked or anonymised?
• What are the latency and cost characteristics?
• What incidents (if any) occurred, and how were they handled?

This documentation becomes the foundation of your compliance audit.

Phase 4: Compliance Audit (Weeks 9–12)

Engage Your Auditor

• If you’re pursuing SOC 2, ISO 27001, or another standard, involve your auditor now.
• Walk them through your Bedrock architecture and data residency controls.
• Provide logs, configuration documentation, and incident records.

Use Vanta (or Similar) for Evidence Collection

• Configure Vanta to monitor your AWS account and Bedrock configuration.
• Vanta automatically collects evidence of security controls, access logs, and configuration changes.
• Generate audit reports that include Bedrock-specific controls.

Address Gaps

• Your auditor will likely identify gaps (e.g., “We need evidence that data is encrypted in transit”).
• Use this feedback to strengthen your architecture (e.g., enforce TLS, enable VPC encryption).
• Re-run Vanta to validate fixes.

Phase 5: Scale and Optimise (Weeks 13+)

Roll Out to Additional Use Cases

• Once your pilot is audit-ready, deploy Claude to other workloads.
• Reuse your architecture patterns and compliance documentation.
• Each new deployment should follow the same data residency and logging standards.

Optimise Costs

• Analyse your token usage. Which use cases are expensive? Which are cheap?
• Consider Bedrock Batch API for non-real-time workloads (50% savings).
• Consider Provisioned Throughput for high-volume workloads (20–25% savings).
• Consider model right-sizing (use Haiku instead of Sonnet where appropriate).

Monitor Compliance Continuously

• Set up automated compliance checks (Vanta, AWS Config).
• Review logs monthly for any data residency violations.
• Update your documentation as your architecture evolves.

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Common Pitfalls and How to Avoid Them

Pitfall 1: Assuming All Claude Models Are Available in Sydney Region

The Problem: You assume Claude 3 Opus is available in Sydney Region, but it’s not (as of early 2025). You try to deploy it, the API call fails, and your application breaks.

The Solution: Always check the Regional availability documentation before deploying. Bookmark it and check it monthly—model availability changes. For production deployments, document which models you’re using and which regions they’re available in.

Pitfall 2: Confusing Cross-Region Inference with Data Leaving Australia

The Problem: You think cross-region inference means your data is going overseas. You avoid it, limiting yourself to older models that are natively available in Sydney.

The Solution: Understand that cross-region inference for Australia keeps data within Australian geographic boundaries. It’s compliant. Use it to access newer Claude models without sacrificing data residency.

Pitfall 3: Not Documenting Data Residency Controls

The Problem: You deploy Claude via Bedrock in Sydney, but you don’t document it. When an auditor asks, “Where does the data go?” you have no evidence. Audit fails.

The Solution: Document your architecture from day one. Create a data flow diagram showing that prompts and responses go through Bedrock in ap-southeast-2. Include AWS region configuration in your infrastructure-as-code (Terraform, CloudFormation). Enable CloudTrail and CloudWatch logging to capture evidence of data residency. When audit time comes, you have everything ready.

Pitfall 4: Sending Sensitive Data Directly to Claude

The Problem: You send customer PII (names, email addresses, phone numbers) directly in prompts to Claude. Claude processes it and returns results. Now you have PII in Claude’s logs, and you’re not sure if those logs are stored in Australia or the US.

The Solution: Mask or anonymise sensitive data before sending to Claude. Replace customer names with IDs, redact email addresses, hash phone numbers. If you must send sensitive data, use Bedrock’s context window to keep it isolated from model training (Claude doesn’t train on Bedrock data, but you should still minimise sensitive data in prompts).

Pitfall 5: Not Planning for Latency

The Problem: You deploy Claude via Bedrock in Sydney, expecting sub-100ms latency. In reality, you get 300–500ms. Your real-time customer support chatbot feels sluggish. Users complain.

The Solution: Benchmark latency early in your pilot. Bedrock latency is typically 200–500ms depending on model and region. For real-time applications (chatbots, live translation), this may be acceptable. For batch processing (overnight analysis), it’s irrelevant. Design your UX around Bedrock’s latency characteristics. Consider streaming responses to reduce perceived latency (Claude supports streaming via Bedrock).

Pitfall 6: Ignoring Cost Optimisation

The Problem: You deploy Claude via Bedrock and start processing high volumes. Your monthly bill is $50,000, and you didn’t realise it would be so high.

The Solution: Estimate costs upfront using AWS’s pricing calculator. Monitor costs weekly using AWS Cost Explorer. Implement cost optimisation strategies (Batch API, model right-sizing, caching, Provisioned Throughput) as your usage grows. For teams using Claude heavily, cost optimisation can reduce spend by 30–50%.

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Next Steps: Getting Started with PADISO

If you’re an Australian enterprise looking to deploy Claude via Bedrock and need help with compliance, architecture, or implementation, PADISO can help.

What PADISO Offers

AI Strategy & Readiness: We assess your current state, define your AI strategy, and plan your Bedrock deployment. We help you understand data residency requirements, identify compliance gaps, and design architecture that passes audit.

Platform Design & Engineering: We design and build Claude-powered systems on Bedrock. We handle data residency, logging, monitoring, and compliance from day one. We use infrastructure-as-code to make your architecture reproducible and auditable.

Security Audit (SOC 2 / ISO 27001): If you’re pursuing SOC 2 or ISO 27001 compliance, we help you document Bedrock as a security control, implement remediation, and prepare for audit. We work with Vanta to automate evidence collection.

CTO as a Service: If you need fractional CTO leadership to guide your Bedrock deployment, we provide hands-on technical leadership. We work with your team to design architecture, mentor engineers, and ensure compliance.

Venture Studio & Co-Build: If you’re building a Claude-powered startup and need technical co-founders, we partner with you from idea to MVP to scale. We handle the technical complexity so you can focus on product and market fit.

How to Get Started

1. Schedule a Consultation: Contact PADISO to discuss your Bedrock deployment, compliance requirements, and use cases. We’ll assess your situation and recommend next steps.

2. Define Your Scope: Work with PADISO to scope your pilot deployment. We’ll estimate costs, timeline, and compliance effort.

3. Execute Your Pilot: PADISO will help you deploy Claude via Bedrock in Sydney Region, implement logging and monitoring, and validate compliance controls.

4. Plan Your Audit: Once your pilot is complete, we’ll help you prepare for SOC 2, ISO 27001, or other audit standards. We’ll document controls, implement remediation, and generate audit-ready evidence.

5. Scale Confidently: As you expand Claude to additional use cases, PADISO helps you maintain compliance and optimise costs.

Real-World Examples

PADISO has helped 50+ Australian businesses deploy AI and achieve compliance. Here are a few examples:

• Financial Services Firm: Deployed Claude via Bedrock to automate customer support and internal document analysis. Maintained SOC 2 Type II compliance throughout. Reduced support costs by 30% while improving customer satisfaction.

• Healthcare Provider: Used Claude via Bedrock to analyse patient feedback and identify common issues. Maintained Health Records Act compliance by masking PII before sending to Claude. Improved patient outcomes by 15%.

• Government Contractor: Deployed Claude via Bedrock for intelligence analysis, with full IRAP compliance. Used cross-region inference to access the latest Claude models while keeping data onshore.

See PADISO’s case studies for more examples.

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Conclusion: Data Residency as Competitive Advantage

Claude via AWS Bedrock in Australia is no longer a nice-to-have—it’s a necessity for regulated enterprises. The combination of Claude’s intelligence, Bedrock’s data residency, and AWS’s compliance certifications gives Australian businesses a way to use cutting-edge AI without sacrificing security or compliance.

The key is understanding the architecture, knowing when to use Bedrock vs direct API, and planning for compliance from day one. Data residency isn’t just a regulatory checkbox; it’s a competitive advantage. When you can tell customers, auditors, and regulators that their data stays in Australia, you build trust. That trust translates to customer loyalty, regulatory approval, and business growth.

If you’re ready to deploy Claude via Bedrock and need expert guidance on compliance, architecture, or implementation, contact PADISO. We’re a Sydney-based venture studio and AI agency with deep expertise in Bedrock, compliance, and Australian regulations. We’ve helped 50+ businesses deploy AI and achieve compliance. Let us help you too.

Ready to get started? Schedule a consultation with PADISO today. We’ll assess your situation, recommend next steps, and help you deploy Claude via Bedrock with confidence.