AI Engineering Packages
Your prototype impressed the board. Now ship it without the production nightmares.
Each package delivers working systems, actionable code, and infrastructure—not just analysis. From Claude integrations to agentic commerce and MLOps pipelines, these are the building blocks for production AI.
[RISK] Hallucinations leaking into production
[RISK] Prompt injection vulnerabilities
[COST] Unpredictable token spend
[OPS] No observability into agent behavior
[PAY] No machine-readable path for paid agent access
AI & Cloud Packages
[Premium]Production-ready AI systems. Claude integrations, agentic commerce, Bedrock agents, MLOps pipelines, and the AWS infrastructure to run it all reliably.
AWS Bedrock Agents & AgentCore
Anthropic Claude integration via AWS Bedrock, AgentCore orchestration architecture, custom subagent development, and reusable skills libraries
AI Services & MLOps
AI product development, LLM integration, MLOps infrastructure, and AI workflow automation
AWS Cloud & Kubernetes
AWS architecture review, Kubernetes deployment patterns, infrastructure as code, and cloud cost optimization
Roadmap & Strategy
Product roadmap alignment with business goals, technical debt prioritization, and long-term technical strategy
Architecture & Scalability
System architecture review, scalability bottlenecks, performance optimization, and design patterns
DevOps & CI/CD
Deployment automation, continuous integration, release management, and DevOps culture assessment
Cybersecurity & Risk Management
Security posture assessment, vulnerability management, access controls, and risk mitigation strategies
HIPAA & SOC2 Compliance
Healthcare compliance, SOC2 audit preparation, security controls, and compliance automation
Agentic Commerce & x402
Professional services for teams adapting to scraper economics, x402 payments, agent-readable APIs, machine buyers, and human-in-the-loop fulfillment
Engineering Excellence
[Standard]Core engineering assessments informed by 30+ years shipping production systems. Code quality, team scaling, and architecture patterns.
Code Quality & Testing
Code review practices, test coverage and strategy, refactoring priorities, and engineering quality standards
Engineering Team & Leadership
Team structure, engineering management practices, hiring, retention, and technical leadership
Software Architecture Patterns
Software design patterns, code organization, module boundaries, and architectural best practices
Foundation Modules
[Supporting]Building blocks that complement other packages. Best bundled with AI or Engineering modules for comprehensive coverage.
Data & Analytics Strategy
Data infrastructure, analytics capabilities, data governance, and AI/ML readiness assessment
Product & Development Process
Product development lifecycle, agile practices, collaboration between product and engineering
IT Infrastructure & DevOps Basics
Basic infrastructure assessment, hosting, networking, and fundamental DevOps practices
Vendor & Tooling Strategy
Technology stack evaluation, vendor management, tool selection, and integration strategies
Data Compliance & Privacy
Data privacy regulations, GDPR/CCPA compliance, data retention, and privacy by design
Get Your AI to Production
Most startups don't need all 17 packages. Schedule a discovery call and we'll identify the 2-3 highest-impact modules for your stage.