AI orchestration

Configure AI agents inside governed workflows.

CXFabric lets teams configure AI agents, prompts, tools, memory, context, approvals, and business rules inside the same workflow model that updates the systems of record.

The agent can reason. CXFabric controls the tools, data access, execution path, retry behavior, and audit trail.

Design an AI workflow See agent configuration
Agent tools MCP-ready workflows Human-in-the-loop Private deployment
Agent orchestration Tool call approved
AI agent Instructions, model, memory
Context Customer data, policy, history
Guardrails Limits, approvals, allowed tools
CX Tool router Deterministic action layer
Choose Validate Execute Log
Connectors CRM, calendar, ticketing, data
MCP tools Controlled agent capabilities
Execution logs Trace every step and result
Configured in CXFabric Runs near private data Observable tool execution

Agentic workflows

Let AI reason. Let CXFabric execute.

Modern AI automation works best when agents are bounded by workflow logic, tool permissions, data context, approvals, and observability. CXFabric combines those pieces in a customer-owned runtime.

Agent configuration

Define the agent role, instructions, model, memory behavior, allowed tools, and handoff rules.

Tool orchestration

Expose CXFabric workflows as safe tools that can look up, transform, update, notify, or escalate.

Guardrails

Use deterministic workflow rules for approvals, boundaries, allowed actions, retries, and exception handling.

Traceability

Capture prompts, decisions, tool calls, responses, execution logs, and system outcomes for review.

agent.config.ts
export const intakeAgent = {
  model: "approved-model",
  system: "Classify the request and choose a safe tool.",
  memory: ["customerProfile", "recentInteractions"],
  tools: {
    lookupCustomer: { workflow: "crm.lookup", mode: "read" },
    bookAppointment: { workflow: "schedule.book", approval: "policy" },
    createCase: { workflow: "service.createCase" }
  },
  limits: { maxIterations: 4, requireAudit: true }
};

Configured, not improvised

AI agents become part of the CXFabric workflow.

Instead of letting an agent freely touch systems, CXFabric lets you define which tools the agent can use, when approval is required, what context is available, and how results are validated.

The workflow can call an agent, the agent can call approved tools, and CXFabric records the execution path the same way it records any other business automation.

Orchestration pattern

Prompt, reason, tool call, approve, and act.

CXFabric blends AI behavior with deterministic execution, so production workflows can use model reasoning without becoming opaque or uncontrolled.

Trigger

A customer request, chat, webhook, file, schedule, or internal event starts the workflow.

Reason

The agent uses approved context to classify, summarize, plan, or select a tool.

Call tool

CXFabric validates the request and invokes a governed connector, component, or workflow.

Control

Policy can approve, pause, escalate, redact, retry, or route to a human.

Act

Update systems, send messages, create tasks, book appointments, and log the outcome.

Production controls

Useful AI needs an operating model.

CXFabric focuses the agent on the work it should do and keeps sensitive execution inside the workflow controls engineering and operations teams expect.

Context boundaries

Choose which records, histories, documents, and policies can be passed into the agent.

Credential isolation

The agent never needs raw credentials; CXFabric owns the connector and tool access.

Reviewable execution

See the agent request, tool choice, workflow path, system response, and final action.

Human handoff

Pause actions for approval or route exceptions to the right human team with full context.

AI orchestration

Bring one agent use case. We will wire the tools safely.

Start with an AI workflow that needs to reach a CRM, calendar, ticketing platform, private API, or legacy system. We will map the agent, tool boundaries, controls, and deployment model.

Talk to CXFabric View components