Agentic AI · Enterprise · production
Noxus
Agentic AI workers for complex enterprise operations.
Production agent platform that maps SOPs into intelligent workflows—Flows, Agents, and Knowledge Bases—then executes end-to-end inside legacy systems of record with human oversight.
Problem
Enterprise customer operations stall when AI stops at answers. Complex cases span email…
System
An agentic execution architecture: knowledge-grounded workers, visual/code flows, multi…
Role
AI Architecture & Agent Orchestration
Status
production
Outcome
30–65% In-policy automation
My role
AI Architecture & Agent Orchestration
- AI Architecture
- Agent Orchestration
- Retrieval
- Integration
- Productionization
Period / 2024–Present
Agentic execution for customer operations
Plays once · tap to replay
Problem
Enterprise customer operations stall when AI stops at answers. Complex cases span email, chat, ERP, and policy—generic chatbots deflect instead of completing the work.
System
An agentic execution architecture: knowledge-grounded workers, visual/code flows, multi-channel intake, and human-in-the-loop gates that operate SAP, Oracle, ServiceNow, and custom tools under audit.
Architecture
Multi-channel intake enters an orchestration control plane that routes Flows and Agents over Knowledge Bases and tool adapters into worker pools, with HITL gates and observability before systems of record update.
- Channels → Control Plane
- Control Plane → Orchestrator
- Orchestrator → Knowledge Base
- Orchestrator → Tool Adapters
- Knowledge Base → Worker Pools
- Tool Adapters → Worker Pools
- Worker Pools → Human Approval
- Human Approval → Systems of Record
Execution path plays once on view · hover a node or tap the canvas to replay
System anatomy
Architecture
Control plane, agent/flow orchestration, and isolated worker execution.
- Workspaces / RBAC
- Flow graph
- Agent runtime
- Worker pools
Engineering decisions
Decision
Flows + Agents + Knowledge as one platform
Constraint
Enterprises need both deterministic process graphs and autonomous tool-using agents grounded in proprietary knowledge.
Approach
Separating visual flows, conversational agents, and semantic knowledge bases lets teams compose agentic systems without forcing one pattern for every case.
Result
Composable agentic automation spanning SOP flows and retrieval-backed workers.
Decision
Execution inside systems of record
Constraint
Value only lands when work updates SAP, Oracle, CRM, and ticketing—not when it drafts a reply.
Approach
Agent planning and tool adapters target back-office systems so cases close, not just summarize.
Result
End-to-end case handling with ERP and CRM side effects under audit.
Decision
Human-in-the-loop for customer operations
Constraint
Out-of-policy and high-risk actions cannot auto-release.
Approach
HITL review sits in the operator inbox alongside AI co-workers, preserving control without abandoning automation.
Result
Approval gates on sensitive actions while in-policy work completes autonomously.
Decision
Isolated worker pools for scale
Constraint
Tenant and workload isolation matter for enterprise security zones and GPU-heavy runs.
Approach
Pool-based async workers with autoscaling keep control-plane APIs responsive while runs stay isolated.
Result
Scalable execution with observability via metrics and distributed tracing.
Reliability
- SSO and audit trailsACTIVE
- Human-in-the-loop gatesACTIVE
- Worker pool isolationACTIVE
- SOC 2 / ISO 27001 / GDPR controlsACTIVE
- Multi-cloud and private deploymentACTIVE
Evaluation
Outcome / Results
- Agentic co-workers that follow SOPs, process documents, enforce policy, and update systems of record.
- Multi-channel intake (email, chat, SMS, voice, API) with audited execution across back-office tools.
- Deployable as SaaS or self-hosted with worker pools, SSO, and compliance controls.
Stack
Product visuals
