AWS & DevOps services

Amazon Bedrock Consulting

Implement Amazon Bedrock foundations and applications with model access, IAM, private networking, knowledge bases, agents, guardrails, evaluation, and cost controls.

What this service can cover

The exact implementation follows the environment and the signed scope. These are the technical workstreams most often composed for Amazon Bedrock Consulting.

01

Bedrock foundation

Configure model access, accounts, IAM, KMS, VPC endpoints, logs, quotas, tagging, and environment boundaries.

02

Knowledge bases and retrieval

Design source ingestion, chunking, embeddings, vector storage, retrieval filters, citations, and refresh ownership.

03

Agents and guardrails

Bound tools, permissions, state, validation, guardrails, human approvals, and error paths for agent workflows.

04

Evaluation and operations

Implement test sets, model and prompt comparisons, observability, cost budgets, deployments, rollback, and incident inputs.

What the client receives

  • Bedrock account and security baseline
  • Knowledge-base or agent implementation
  • Evaluation and observability controls
  • Terraform, runbooks, and client-owned handoff
Delivery approach

From current state to client-owned handoff

01

Qualify the Bedrock use case

Define users, source data, output, model constraints, failure cost, human review, quality measures, budget, and owner.

02

Establish the foundation

Configure approved model access, IAM, KMS, private connectivity, logging, quotas, tagging, and environment boundaries.

03

Build and evaluate

Implement retrieval, agents, tools, guardrails, and application paths with representative quality, safety, latency, and cost tests.

04

Release and operate

Add deployment, observability, budgets, rollback, incident inputs, refresh ownership, runbooks, and client-controlled handoff.

Scoping Amazon Bedrock Consulting

Does Amazon Bedrock Consulting include choosing a model?

It can, but model choice is evaluated with the use case, region, data boundary, quality, latency, cost, terms, and operating requirements rather than selected in isolation.

Can Uptempo build a knowledge base or agent?

Yes. The scope can include ingestion, retrieval, citations, tools, permissions, state, guardrails, evaluation, deployment, observability, and accountable human review.

Does using Bedrock make generated output reliable by default?

No. Probabilistic output requires representative evaluation, failure handling, monitoring, review, and release criteria defined for the specific application.

Bring the environment and the decision you are facing.

Use the free hour to work through the current state and identify a useful next step before you commit to a project.

Book Your Free AWS Assessment Review engagement pricing