Solutions
Production architecture for autonomous work
N-hop
bounded A2A
Hard limits on delegation depth to stop runaway swarms.
step
trace granularity
Every thought, model call, and tool result is replayable.
HITL
on high-risk verbs
Payments, deletes, and external send require approval.
CI
eval before prod
Golden tasks block uncertified agent versions.
Enterprise architecture
Production agentic topology
Business events become governed work: supervisor and specialists call models and tools only through ForgeCrux gateways.
Production agentic topology
ForgeCruxProbing Deeper, Stacking PrecisionDemand
ITSM / CRM cases
ServiceNow, Salesforce
Chat & APIs
Employee and customer
Schedulers
Batch and cron agents
Agent Gateway fabric
Supervisor
Plan, hop limits, budget
Specialists
Domain skills, A2A
HITL & kill switch
High-risk verbs
Capability + SoR
AI Gateway
Models + guardrails
MCP + API Gateways
Tools and systems
Systems of record
SAP, data, comms
ForgeCrux · confidential architecture
Agentic AI reference architecture
End-to-end workflow from product intent to production systems — roles, fabric, gateways, MCP, and backends.
Roles & interfaces
Business intent, architecture, and delivery surfaces.
Product owner
Business logic & outcomes
Architect
Blueprint & controls
Developer
Code, commit, certify
Cursor
IDE / Codex
CLI
Web apps
Agent fabric
Intelligence, traffic, identity, and specialized workers.
ForgeCrux AI Gateway
Routing · RBAC · guardrails · spend · traces
Orchestration engine
Multi-step tasks & decomposition
Agent catalog
Governed inventory of specialists
Agent builder
Low-code + GitOps definitions
Doc agent
Test agent
Code agent
Infra agent
LLM pool
GCP · AWS · Azure · self-hosted
Agent & MCP plane
Secure interoperability from agents to the real world.
ForgeCrux Agent Gateway
Identity · A2A · HITL · Kubernetes runtime
Contextual
interoperability
ForgeCrux MCP Gateway
Discovery · vault · tool RBAC · audit
Secure
integration
API layer
Salesforce · SAP · ServiceNow · custom APIs
Backends & infrastructure
Systems of record, delivery, and clouds.
Databases
Vector · SQL · NoSQL
Legacy systems
SOAP · mainframe · ESB
CI / CD
GitOps · tests · evals
Clouds
AWS · Azure · GCP · private
Control path: Policy · Identity · Observability across every hop
Data path: Channel → Agent Gateway → AI Gateway → MCP → API → SoR
Autonomy with a contract
Agents act only inside identity, budget, and tool scopes you define.
Composable enterprise skills
APIs, models, and MCP tools are capabilities—never raw credentials inside the agent.
Operable like microservices
Versions, traces, SLOs, and incident response apply to agents the same way they apply to APIs.
Key Capabilities
Complete Agentic AI capabilities
Everything required to publish, secure, mediate, observe, and operate agentic ai workloads on ForgeCrux.
Enterprise uses
Where autonomous work becomes an operable production system.
- Operations and ITSM: case-driven agents with named owners and SLAs
- Customer support: bounded tools, HITL on refunds and account changes
- Finance and procurement: hop limits, budgets, and compensation on failure
- Engineering: code/test/infra specialists behind Agent Gateway identity
- Platform teams: same GitOps, traces, and on-call as microservices
- Risk: kill switch, pause, drain, and eval gates before promotion
Installation & deployment
Runtime beside the gateways agents are allowed to call.
- Agent Gateway on Kubernetes with identity, A2A, and HITL queues
- AI and MCP gateways required in-path—no direct provider or tool keys
- SaaS, hybrid, or self-hosted control plane for catalog and policy
- Memory plane isolation per agent version and environment
- Multi-region runtimes with fair-share scheduling
- Helm / Terraform promotion of agent definitions
Setup & onboarding
Pilot one process, then clone the topology.
- Pick a bounded workflow with a clear system of record
- Register the agent: owner, risk tier, credentials, budget
- Publish tool packs only through MCP Gateway virtual catalogs
- Route models only through AI Gateway policies
- Turn on step-level traces and HITL for side effects
- CI evals on golden tasks before production versions
Security & control
Autonomy only inside identity, budget, and tool scope.
- Unique agent identity; no anonymous bots
- N-hop and recursion limits to stop runaway swarms
- HITL on payments, deletes, and external send
- Memory TTL, isolation, and redaction
- Token, dollar, and tool-call budgets per run
- Immutable DAG replay for incident response
Orchestration patterns
Enterprise shapes for multi-agent work.
- Supervisor–specialist, sequential, and graph workflows
- Compensation and saga-style undo on failure
- Idempotent writes to systems of record
- Deadline, hop, and recursion limits
- Fair-share scheduling across business units
- Multi-region active-active runtimes
Risk and operations
Keep agents inside SLO, budget, and policy.
- Per-run token, dollar, and tool budgets
- Loop detection and automatic pause
- Canary versions and shadow tasks
- On-call dashboards and kill switches
- Quality evals tied to business KPIs
- Cost showback to the owning domain
Data flows
How requests, policies, and telemetry move through ForgeCrux in this solution.
Happy-path task flow
A support or ops task completing under policy.
Intake
Ticket payload
Supervisor
Plan steps
Model
AI Gateway
Tool
MCP / API
Write-back
SoR + trace
High-risk action flow
When policy requires a human before side effects.
Agent intent
Proposed action
Risk engine
Tier + budget
HITL queue
Owner approve
Execute
Scoped tool call
Evidence
Who / why / what
How teams run Agentic AI on ForgeCrux
Pilot one process
Pick a bounded workflow with a clear system of record and owner.
Identity first
No production agent without registry entry, risk tier, and credentials.
Tools through gateways
Ban direct SaaS keys inside agent code.
Trace from day one
If you cannot replay a run, it is not ready.
HITL the side effects
Start with suggest-then-apply; automate after evals pass.
Scale the pattern
Clone the supervisor topology to the next domain, not a new stack.
Related Products
Agent Gateway
ForgeCrux Agent Gateway gives every agent an identity, permissions, routing, memory controls, guardrails, tracing, evaluation, cost limits, and lifecycle—so multi-agent systems can reach models, APIs, MCP tools, and data without unmanaged autonomy.
MCP Gateway
ForgeCrux MCP Gateway is the governed fabric for Model Context Protocol: server registry, tool discovery, OAuth, RBAC, credentials, virtual servers, traffic control, and full audit of every tool call.
AI Gateway
ForgeCrux AI Gateway is the single endpoint for multi-model access, intelligent routing, prompt control, guardrails, token and cost management, evaluation, and LLM observability—across OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, and self-hosted models.
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