Armored Helix
Intelligent by Design. Secure by Default.
Enterprise AI Engineering. Secure AI systems built for production.
We design, build, deploy, and maintain production AI systems for regulated organizations—enterprise AI agents, knowledge platforms, and workflow automation with secure architecture, human oversight, and governed operation.
Production systems, not proofs of concept. Documentation-first execution.
Built for regulated environments where engineering rigor matters.
What we build
Production AI systems integrated across collaboration, documentation, identity, and workflow platforms.
Enterprise AI Agents
- •Production agents operating inside service, quality, and operations workflows
- •Human oversight, approval gates, and escalation paths built into the design
- •Integrated with ticketing, documentation, identity, and workflow platforms
Enterprise Knowledge Platforms
- •Permission-aware retrieval across enterprise systems
- •Citation-backed answers grounded in approved sources
- •Knowledge platforms spanning years of operational history
Workflow Automation
- •Automation of request, approval, triage, and handoff processes
- •Event-driven integration with existing systems of record
- •Audit-ready logging and role-based access throughout
AI Evaluation Systems
- •Automated evaluation frameworks using hundreds of realistic enterprise scenarios
- •Regression detection before changes reach production
- •Telemetry and quality metrics that make AI behavior measurable
Security Reporting Platforms
- •Automated evidence collection and security posture reporting
- •Vulnerability and exception tracking across the environment
- •Dashboards designed for security reviews and leadership visibility
Cloud-Native AI Infrastructure
- •Secure architecture for AI workloads on AWS and Azure, including private deployments
- •Model and version governance with rollback strategies
- •RBAC, audit logging, monitoring, and controlled egress
How we ship safely
Why regulated organizations choose Armored Helix
Production engineering discipline
We build AI systems that run inside real businesses—versioned, monitored, evaluated, and maintained. Not demonstrations.
Production systems in operation
Representative enterprise projects; client details anonymized.
Enterprise IT operations
Production AI service operations agent
Problem
Service teams triage high volumes of requests against dispersed operational knowledge.
Approach
Production agent integrated with ticketing and documentation systems, with human approval gates.
Outcome
Consistent triage and resolution grounded in approved operational knowledge.
Regulated enterprise
Enterprise knowledge platform
Problem
Years of operational history locked in siloed collaboration and documentation systems.
Approach
Permission-aware retrieval with citations, audit logging, and identity integration.
Outcome
Governed access to institutional knowledge across the organization.
AI platform team
Automated AI evaluation platform
Problem
No systematic way to verify AI system behavior before production changes.
Approach
Evaluation framework running hundreds of realistic enterprise scenarios per release.
Outcome
Measurable AI quality and regression detection before deployment.
How engagements work
Architecture & scoping
Map the workflow, systems, data boundaries, and governance requirements.
System design
Define the architecture, integrations, oversight model, and evaluation criteria.
Build & evaluate
Ship increments with automated evaluation, documentation, and stakeholder review.
Deploy & maintain
Operate in production with monitoring, governance, and continuous hardening.
Ready to move AI from prototype to production?
Tell us about your workflows, your systems, and your operational constraints.