What sovereign AI looks like inside regulated work.
Each blueprint documents a complete reference architecture — the buyer’s constraint, the model bench, the deployment pattern, and what it unlocks. Blueprints are representative reference architectures, anonymized and generalized from the deployment patterns we design — not client testimonials.
Reference architecture for lifecycle agents: stage detection, per-stage plays, a research sub-agent that never writes without a source, onboarding and renewal managers, and the handoff from the BDR team — rebuilt on infrastructure you own.
AI agentslifecycle marketingcustomer successonboardingdeployment blueprint
Reference architecture: a mid-size contractor deploys on-premise AI agents for RFQ pre-qualification, proposals and deal underwriting over a second brain of project records — and becomes a software-enabled company.
Reference architecture for an autonomous business-development agent team: research, qualification, multi-touch outreach, reply handling, calendar booking and CRM hygiene — with two human gates, rebuilt to run on infrastructure you own.
AI agentsBDRgo-to-marketsales automationdeployment blueprint
Reference architecture: a manufacturer turns decades of CAD notes and failure analyses into an air-gapped internal AI expert — zero egress, ITAR-clean.
Reference architecture: a regional clinic network deploys Qwen3-VL and a tuned scribe model on owned hardware — ambient documentation with no PHI egress.
Reference architecture: a 120-lawyer firm deploys GLM-5.2 on owned hardware for discovery triage and precedent-aware drafting — zero privileged egress.
law firmGLM-5.2discoveryprivilegedeployment blueprint
Start with the sovereignty assessment.
Two weeks, fixed fee. We map your data obligations and workloads, size the hardware, and hand you a written architecture with a real cost model — whether or not you build with us.