Illustrative architecture case studies

Production AI systems designed around real constraints.

Eight architecture briefs show how agents, deterministic services, data, external systems, approval gates, and human operators work together.

Architecture responsibilities
HumanOperator
AgentBounded reasoning
ServiceDeterministic control
DataState and evidence
ApprovalDecision gate
ExternalConnected system
Secure MCP and tool infrastructure

Secure Agent Gateway

A governed gateway separates agent intent from access to business systems. Identity, tenant policy, typed MCP tools, approval rules, and audit records keep execution bounded and reviewable.

MCPOIDCTool ScopesZero TrustAudit
Secure Agent Gateway architecture thumbnail
HumanSystem owner
AgentTool-using agent
ServicePolicy and schema gateway
DataTenant policy and audit log
ExternalBusiness APIs
ApprovalHigh-risk action review
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AgentOps and evaluation

Agent Release Control Plane

A release workspace compares prompt, model, retrieval, and tool versions against governed evaluation datasets. Automated scoring and human review create an explicit gate before production promotion.

AgentOpsAI EvaluationVersioningRelease GatesTracing
Agent Release Control Plane architecture thumbnail
HumanRelease reviewer
AgentCandidate agent version
ServiceEvaluation runner and scorer
DataEval datasets and traces
ExternalModel and retrieval providers
ApprovalProduction release gate
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Human-in-the-loop AI

Approval Operations Console

A durable operations console turns agent proposals into reviewable work items with evidence, risk routing, expiry, reassignment, and amendment. Execution resumes only after current policy and approval state are rechecked.

Human in the LoopDurable StateRisk RoutingIdempotencyAudit
Approval Operations Console architecture thumbnail
HumanOperations reviewer
AgentProposal agent
ServiceRisk router and state machine
DataEvidence and approval history
ExternalBusiness system
ApprovalApprove, reject, or amend
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Multi-agent systems

Scalable Multi-Agent Orchestration Platform

A supervisor routes bounded tasks to planner, retrieval, research, specialist, and validation agents. Durable queues, explicit handoff contracts, scoped context, and policy gates preserve control under parallel work.

Multi-Agent SystemsTask QueuesHandoffsBackpressureAgentOps
Scalable Multi-Agent Orchestration Platform architecture thumbnail
HumanUser or operator
AgentSupervisor and specialists
ServiceQueue, router, and policy check
DataShared task state and private context
ExternalTools and providers
ApprovalHuman escalation gate
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GraphRAG and context engineering

GraphRAG Enterprise Knowledge Intelligence

A permission-aware retrieval system combines graph traversal, semantic search, and structured lookup. Bounded context assembly returns grounded answers with citations and source provenance.

GraphRAGHybrid RetrievalKnowledge GraphACL FilteringProvenance
GraphRAG Enterprise Knowledge Intelligence architecture thumbnail
HumanKnowledge user
AgentRetrieval and answer agent
ServiceParser, planner, and ACL filter
DataGraph, vectors, and structured index
ExternalDocuments, databases, APIs, and tickets
ApprovalRestricted-source review
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Healthcare AI operations

Multi-Agent Healthcare Operations System

A privacy-aware administrative workflow coordinates intake, document extraction, policy retrieval, scheduling, validation, and exceptions. Staff and operations reviewers retain authority over sensitive or high-impact steps.

Healthcare AIPHI ControlsRBACHuman ReviewAudit
Multi-Agent Healthcare Operations System architecture thumbnail
HumanStaff, operations reviewer, security operator
AgentIntake, document, policy, coordinator, validation
ServiceRBAC, PHI policy, audit, workflow state
DataAdministrative records and documents
ExternalScheduling and healthcare systems
ApprovalSensitive action review
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Cybersecurity AI

Multi-Agent Cybersecurity Triage and Response

A SOC analyst receives correlated evidence from intake, enrichment, threat, asset, identity, and response-recommendation agents. Deterministic policy gates and scoped adapters keep consequential response under human control.

Cybersecurity AISIEMEDRCorrelationAnalyst Approval
Multi-Agent Cybersecurity Triage and Response architecture thumbnail
HumanSOC analyst
AgentIntake, enrichment, context, correlation, recommendation
ServicePolicy gate, deduplication, rate limits, audit
DataAlert and incident evidence
ExternalSIEM, EDR, cloud, asset, identity, threat feeds
ApprovalConsequential response approval
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Agentic automation

LLM-Powered Business Process Automation

LLMs extract, classify, interpret, summarize, and propose actions from unstructured work. Deterministic services validate, route, enforce rules, execute APIs, persist state, retry, and audit.

Business Process AutomationLLM Automationn8nRulesException Queue
LLM-Powered Business Process Automation architecture thumbnail
HumanOperations reviewer
AgentExtraction and interpretation agent
ServiceValidation, rules, routing, state, retry
DataDocuments and business records
ExternalEmail, forms, CRM, ERP, and APIs
ApprovalHigh-impact action review
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