From solution pattern to working prototype in four steps
Every engagement is a small, fixed-scope build — designed, tested on realistic cases, and handed over with documentation. No surprises, no autonomous high-risk actions.
Choose a solution pattern
Browse AI coworker ideas — document assistant, support assistant, recruiter assistant, admin intake, report generator, or RAG chatbot.
Share your workflow
Provide sample inputs, expected outputs, current tools, and approval requirements so the scope is clear from the start.
Build a focused prototype
A small, fixed-scope AI workflow is built and tested using realistic sample cases — with human review built into the flow.
Review and handover
Receive the workflow, documentation, limitations, test cases, and next-step recommendations — ready to use or extend.
The building blocks, in the open
The guardrails, governance and infrastructure primitives behind these workflows are published as reusable modules on GitHub.
AWS Bedrock Guardrails as code — content filters, PII anonymisation, topic and word policies.
View on GitHub →Governance-as-Code for Bedrock — guardrail compliance, cost-threshold enforcement, and governance reports as CI artifacts.
View on GitHub →Reusable DevSecOps GitHub Actions — SAST (Semgrep/Bandit), container (Trivy), IaC (Checkov) and secret scanning.
View on GitHub →Production-hardened EKS — KMS encryption, IMDSv2, Kyverno, Falco, network policies and IRSA.
View on GitHub →Serverless API module — API Gateway + Lambda + IAM with CORS, rate limiting and optional SES.
View on GitHub →