Connect Bedrock to your business.Define the boundaries first.
Add only the components the task needs: model calls, retrieval or actions. Start with the customer AWS account, access and data requirements, then validate a complete business path.
Discuss project scope- 01
Model invocation
App request → authorized model → output and usage. Validate the basic call first.
- 02
Knowledge retrieval
Approved documents → retrieval/citation → supported answer. Check access and updates separately.
- 03
Business action
Draft action → permission/approval → tool execution and result. Writes require confirmation.
Illustrative example · not a customer case
Inputs and constraints
Example: an internal assistant queries an approved operating manual. Inputs are test questions, documents and roles; outputs are cited answers, invocation records and failure-case results. A ticket write first presents a draft for authorized approval.
What we help you implement.
Select the capabilities your use case needs.
AWS account & model access
Prepare account access and permissions; confirm available model versions, regions and access requirements.
Knowledge bases & RAG
Connect S3 and company documents, with retrieval, source references and data access boundaries.
Agents & business workflows
Connect Bedrock Agents with CRM, ERP or internal APIs, including agreed approval steps.
Guardrails, permissions & audit
Configure Guardrails and IAM, with CloudTrail and logging requirements defined for the environment.
Private network connectivity
Plan VPC and PrivateLink connectivity around the chosen region, endpoints and existing network.
Usage & cost monitoring
Align model usage and AWS billing records, with budgets, monitoring and optimization scope.
Confirm these before delivery.
A proposal connects the service scope with your account and commercial requirements.
Models, region & account
Identify required model versions, target regions, account ownership and access conditions.
Data, integration & validation
Confirm documents, system interfaces, permissions and the sample or acceptance criteria.
Costs, delivery & support
Confirm AWS charging units, implementation work, handover materials and operating responsibilities.
Make the pilot produce reviewable evidence.
Start with the customer AWS account, data requirements and business samples. Check model access and processing paths before agreeing implementation scope.
Pilot inputs
Define the task, quality criteria, allowed data, budget, latency and concurrency. Review IAM, model access, regions and inference configuration. Cross-region routing needs an explicit check.
Pilot outputs
Record model and inference identifiers, samples, results and limitations. Document usage measurement, access and networking, and unresolved production requirements. Pilot results are not a production capacity or fixed-cost commitment.
Select knowledge, agent and operations services for the use case.
Verify service suitability and account access before planning security, monitoring, costs and handover.
Knowledge and agents
Knowledge bases need retrieval evaluation, citation checks and document permissions. New customers should assess available services such as AgentCore; Agents Classic is no longer open to new customers, so older creation tutorials may not apply.
Production preparation
Check logging scope and retention, rate limits and retries, cost alerts, change approval and recovery. Verify Guardrails, streaming and tool support separately for each model and API.
Delivery boundary · These reference paths are not a default full deployment. Confirm components, model regions, quotas, cross-region behavior and costs individually; Guardrails do not replace access control or business review.
Discuss project scope