Toolkit contents

Section 5

Designing the north star and realizing it

Design in two passes. First draw the vendor-neutral north star for the use case: what good looks like, layer by layer, naming only the systems of record. Then show how MuleSoft Agent Fabric, MuleSoft and Informatica realize it, and what stays the client’s choice. Keeping the passes separate makes the recommendation credible: the client can see the design stands on its own before any product is named.

Five-layer target reference architecture for the AI control plane
Figure 2. The target reference architecture: the north star for the AI control plane (author’s synthesis, from the handbook).1,11,20

The north star has five layers and controls that run across all of them:

The design rule. No consumer calls a model or an enterprise capability directly: every agent-to-model and agent-to-tool call traverses the control plane, where identity, policy, routing, cost and audit are applied.

From the north star to the use-case architecture

  1. Fill each layer from the inventory. Users and channels, agents, orchestration, control plane, models, MCP servers and APIs, data governance and systems of record (template T7).
  2. Choose the orchestration pattern. Embedded agents inside each application, a dedicated orchestration tier, or hybrid/federated: central governance with distributed execution. Most large multi-vendor enterprises converge on hybrid/federated.
  3. Give every agent a tier and a mode. Read-only, drafts, proposes or gated writes. Only a few agents should ever write to a system of record.
  4. Decide models and routing. Which tasks go to a frontier model, a private small model or embeddings, and which data may go where.
  5. Put data governance on the critical path. Golden records, semantics, lineage and quality for the data the agents act on.
  6. Draw security and governance across every layer. Then check the design rule: every call passes the control plane.

Checking the design against review frameworks

Enterprise architects often review designs against a cloud provider’s framework. The north star answers the questions that the three most used for agents ask, which gives reviewers a common language. Run the design-review checklist in T7 with the framework the client already uses.

FrameworkWhat reviewers checkWhere the design answers it
AWS Well-Architected Agentic AI Lens (June 2026)76The six Well-Architected pillars applied to agents: bounded autonomy, least-privilege tool access, tiered oversight matched to the risk and reversibility of each action, tracing of agent reasoning, and control of token costs
  • Autonomy tiers and bound approvals
  • One policy point and agent identity
  • Evaluation and observability
  • Cost per outcome
Microsoft Cloud Adoption Framework: govern and secure AI agents (June 2026)14Accountability, one registry, one identity per agent, consistent policy across platforms, cost tags and alerts, audit mode before enforcement, adversarial testing, trusted MCP and A2A integrations, and a plan to disable a misbehaving agent
  • Registry with owner, sponsor and tier
  • One gateway for model, MCP and A2A traffic
  • Phase 1 starts in audit mode
  • Kill switch and takeover runbook
Google Cloud’s 20 questions for the agentic enterprise (July 2026)47Build, scale, optimize and govern: agents’ data access aligned with their users’, shadow AI and agent sprawl, rules for how users, agents, data and tools interact, enforcement and visibility, protection against leakage and prompt injection, detecting failures, and one place to manage the lifecycle
  • Delegated authority
  • Registry and discovery
  • Gateway policy and guardrails
  • Evaluation and the kill switch
  • The agent lifecycle

Telling a day in the life

A day in the life makes the architecture human (template T8). Choose one persona and a realistic case, and tell it in six to eight timestamped moments from the trigger to the end state. Make every human decision visible, include one moment where a control changes the outcome (for example, a person who is not cleared is replaced before anyone sees why), and end with the result in business terms.

Tracing how the components work together

Trace the same day through the architecture (template T9). For each moment, name the components and the protocol (A2A between agents, MCP from agents to tools, APIs to systems of record) and the controls that apply. Show a policy check before every write, and every point where a person decides.

Realizing it with MuleSoft Agent Fabric and Informatica

Map every reference component to the capability that realizes it (template T10). MuleSoft Agent Fabric is the control plane, with MuleSoft APIs, connectors and MCP Bridge as the capability layer and Informatica as the data foundation, exposed to agents through MCP servers that Agent Fabric can govern.21,77 The client keeps its choice of collaboration tools, models, agent frameworks and systems of record.

The north star realized with MuleSoft Agent Fabric and Informatica
Figure 3. The north star realized, with MuleSoft Agent Fabric as the control plane, MuleSoft APIs, connectors and MCP Bridge as the capability layer, and Informatica as the data foundation (from the handbook).21,77
Reference componentMuleSoft or Informatica capability
RegistryAgent Registry and Agent Scanners (MuleSoft Agent Fabric)
OrchestrationAgent Broker with guided determinism (MuleSoft Agent Fabric)
AI gatewayAI Gateway for LLM and MCP traffic, and Omni Gateway policies for APIs and A2A (MuleSoft)
Agent identityTrusted Agent Identity with mobile approval (MuleSoft Agent Fabric)
  • Approvals bound to execution
  • Exposure limits
Custom Omni Gateway policies built with the Policy Development Kit (Approval-to-Execution Binding; Cross-Session Aggregate-Risk Gate)
Operate and controlAgent Kill Switch, Agent Visualizer and AI cost controls for token-based rate limits and spend attribution (MuleSoft Agent Fabric)
MCP servers and APIs
  • MCP Bridge
  • System and Process APIs with MuleSoft connectors
Master dataMultidomain MDM (Informatica)
Semantics, catalog, lineageData Governance and Catalog, with the CDGC Metadata Search MCP server (Informatica)
Data qualityData quality rules, with the Address Verification MCP server (Informatica)
DeploymentCloudHub or customer-managed Runtime Fabric (MuleSoft)

Custom Omni Gateway policies, built with the Policy Development Kit, are not MuleSoft products: the client or partner owns their testing and support.78 Evaluation runs with any evaluation tool, with the results recorded in the registry (Section 4).

Coexisting with the hyperscalers’ agent control planes

Most clients will run more than one agent control plane. Microsoft describes Agent 365 as “the control-plane for AI agents,” with Microsoft Entra Agent ID for agent identities.12 AWS offers Amazon Bedrock AgentCore, whose services include a runtime, memory, a gateway that connects MCP servers, identity and observability.62 Google’s Gemini Enterprise Agent Platform includes an agent registry, an agent gateway and agent identities.47 With several planes in place, the design needs a division of labor, agreed with the enterprise architect and recorded in T10:

EstateNative agent control planeUsually authoritative forMuleSoft Agent Fabric’s role
Microsoft 365 and AzureAgent 365 and Microsoft Entra Agent ID12
  • Identities and inventory of Microsoft agents
  • Access to Microsoft 365 data
Registers Copilot Studio and Foundry agents and applies common policy to their calls into enterprise systems
AWSAmazon Bedrock AgentCore62Runtime, memory and identity for agents built on AWSRegisters Bedrock and AgentCore agents and governs their access to enterprise APIs and MCP tools
Google CloudGemini Enterprise Agent Platform: Agent Registry, Agent Gateway, Agent Identity47Agents built on Google CloudRegisters them and applies the same policy as for every other estate
SalesforceAgentforceAgents working in Salesforce data and processesRegisters and governs Agentforce agents
Across estatesNo single native planeCross-vendor inventory, policy on every call into enterprise capabilities and data, cross-vendor orchestration, and cost and auditThe vendor-neutral control plane21

A workable default is for each native plane to stay authoritative for identity and runtime inside its own estate, and for MuleSoft Agent Fabric to be authoritative for the cross-estate inventory, for policy on every call into enterprise capabilities and data, for orchestration across vendors, and for cost and audit. Federate identities rather than duplicating them, agree which registry holds the record of ownership, and send every plane’s telemetry to one trace. Microsoft’s own guidance takes the same approach inside its estate and asks for consistent policy across every agent platform.14

What to check in any agent platform

Standards and regulation dates

Protocol versions and regulation dates change from one edition to the next. The table keeps them in one place and matches the handbook’s table in Section 7 and the appendix slide in both decks. Check it before every readout, update it at each edition and note what changed. Since January 2026, for example, A2A reached version 1.0 and MCP became stateless.

Standard or regulationVersion or dateTemplates
A2A
  • Version 1.0 since March 2026
  • An Agentic AI Foundation project27
T5, T9
MCPSpecification revision 2026-07-28 (stateless)26T5, T9
Agent Payments Protocol (AP2)Contributed to the FIDO Alliance in April 2026 and still pre-standard28T5
EU AI Act high-risk obligationsFrom December 2, 2027 (Annex III) and August 2, 2028 (Annex I)32T5
US federal post-quantum deadlines
  • Key establishment by end-2030
  • Signatures by end-2031
  • Contractor rule due by December 202651
T5