Autonomy with
visibility. Governance.
Human judgment.
NexusCortex is building an operating layer where objectives become accountable work: agents collaborate, decisions pass through governance, people approve consequential actions, and outcomes leave evidence behind.
One system. Clear operational truth.
Live operational numbers will appear only when connected to authoritative telemetry. This page does not invent current agent or approval counts.
Follow work through the layers
This is the proposed shared mental model. Runtime status for each layer must be mapped to real checks and evidence before it is shown as live.
Governed execution pipeline
From business intent to an auditable result
People stay accountable for consequential decisions
The approval inbox will be connected to the durable task / escalation system. The controls below are intentionally inactive until the real authorization and audit path is wired.
Approval inbox preview
Review context before making a decision
Proposed action: deploy a reviewed application release. The real approval card must include the change summary, tests, affected services, release identity, rollback plan and verification result.
Specialists with accountable roles
Agent identities and live assignments will populate from the real registry and execution records. No fabricated “working now” labels are shown here.
Strategy, delivery & coordination
Risk, access & runtime protection
Builds, integrations & releases
Reasoning, context & shared intelligence
Customer journeys & communication
Independent review & acceptance evidence
Research, retrieval & knowledge graphs
Durable tasks, routing & event-aware wake
Usage, costs & resource accountability
Authorization, risk & approval boundaries
Evidence integrity & traceability
Incidents, recovery & rollback readiness
Workflows, deadlines & human handoffs
From retrieval to reasoning to verified action
These are the intended system flows. Each tile must be connected to a source before it is presented as live telemetry.
Agentic RAG
Retrieve → rank → inspect provenance → assemble context → reason → act → evaluate. Planned measures: retrieval latency, source freshness, relevance, citations and answer verification.
Graph Engineering
Entities → relationships → evidence → temporal context → graph query → reasoning trace. Planned measures: node/edge counts, freshness, query latency and evidence coverage.
Advanced Loop Engineering
Observe → decide → act → measure → verify → adapt → continue or stop. Every loop should show iteration, budget, retry count, stop reason and verification outcome.
n8n and event-aware execution
Monitoring view design for workflow owners and infrastructure operators.
Workflow lifecycle
Event-driven, durable and observable work
One operating vision across the portfolio
Shared governance principles; product-specific workflows and permissions.
FrontPilotAI
Customer conversations, appointments, follow-ups and exception handling—visible as operational workflows, not opaque automation.
Explore FrontPilotAI ↗UnitAxon
Customer workspaces, plans, billing events and delivery progress connected to accountable service execution.
Explore UnitAxon ↗AuditTrue
Evidence collection, control checks and audit trails with clear ownership and reviewable outcomes.
Explore AuditTrue ↗