AI Agent Build • Scope First
Custom AI Agents
Stop forcing every workflow into a generic chatbot. Scope an LLM agent around your data, with operator review, bounded permissions, and a defined control path.
What's Included
- →Discovery + workflow mapping — we find the automatable work before we build anything
- →Custom LLM agent design scoped around your data and context
- →Sovereign identity layer + hard kill switch (see /ai)
- →Multi-provider routing so you're never locked to one model
- →Continuous audit logging — every agent action is queryable
- →Deployment to your stack (Slack, Jira, API, web) + handoff docs
The Sovereign AI Principle
Identity Layer
Defined capabilities, scoped permissions, auditable actions. No agent operates outside its identity boundary.
Hard Kill Switch
A physical disconnect that halts all agent processes, preserves state, and alerts the operator. Not a soft disable.
Build References
Archon Agent
A referenced agent-system direction focused on identity, accountability, and operator controls. Scope and availability depend on the brief.
See the system →Sentinel Monitor
A referenced security-monitoring direction. Data sources, monitoring scope, and response workflow are defined per engagement.
See the system →Related Intel
Build Your Agent
Send a brief — what workflow do you want automated? Delivery and timing depend on the assessment.