Agent Factory

One architecture, every engagement

Every StratusTier project is assembled from the same proven AWS building blocks, configured for your data and workflow. Reuse is how prototypes land in weeks and how production systems stay secure and reliable.

Each engagement also adds connectors, evaluation methods and workflow templates back to the Factory, so the next one is faster.

AWS building blocks of the Agent Factory: API Gateway, Amazon Cognito, AWS Lambda and Amazon S3
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How a request moves through an agent

From your app to an audited action. The amber step is a human checkpoint that stays in place until the agent has proven reliable.

CloudFront, S3, API Gateway
Your app or API

Requests arrive from your tools, a web app or a schedule.

Step Functions, EventBridge
Orchestration

Multi-step agent runs, schedules and event triggers.

Lambda, Amazon Bedrock, retrieval
Reasoning

Business logic, foundation models and your knowledge base.

Evaluation, human approval
Quality gate

High-impact outputs wait for review.

CloudWatch, audit log
Action and audit

The agent acts; every step is logged, costed and alerted on.

The layers underneath

Standard components on every project, so you get familiar, auditable infrastructure with your own data and workflows on top.

01
Experience CloudFront, S3, API Gateway

Web apps, APIs and customer-facing interfaces.

02
Orchestration Step Functions, EventBridge

Multi-step agents, schedules and events.

03
Compute AWS Lambda

Serverless business logic and integrations.

04
AI Amazon Bedrock

Foundation models and AI inference.

05
Data S3, DynamoDB, RDS/PostgreSQL

Documents, structured and transactional data.

06
Identity IAM, Cognito

Access control and customer identity.

07
Security IAM policies, logging, encryption

Least-privilege enterprise controls.

08
Observability CloudWatch, Grafana where needed

Health, performance, cost and alerts.

09
Infrastructure Terraform

Repeatable, reviewable deployments.

How we build agents
01.A business goal first

Every agent has a defined objective and measurable success criteria.

02.AI only where it helps

Deterministic logic where rules work, model reasoning where it adds value.

03.People approve what matters

High-impact decisions keep human approval until reliability is shown.

04.Production habits from day one

Logging, error handling, evaluation and cost controls in every workflow.

05.Your data stays yours

Customer data and credentials are always kept separate.

06.Everything versioned

Prompts, tools, models and workflows are versioned and traceable.

07.No model lock-in

We design for model portability wherever it’s practical.

08.Outcomes over benchmarks

We measure business results, not only model quality.

Why AWS matters
We don’t sell “we’re an AWS shop.” We deliver production-grade AI agents, and our AWS architecture and cloud-governance experience is how we run them securely and reliably inside enterprise environments.
Talk to us about your workflow