AI and workflow automation

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.

Agent tools MCP-ready workflows Human-in-the-loop Private deployment
Engineering team reviewing an AI agent workflow and its controls
AI workerRefund eligibility reviewer
Governed
Context
Order, policy, customer history
Allowed tools
CRM lookup, policy check, case update
Approval
Required above configured limit
  1. Gather evidenceUse approved business context
    Ready
  2. Apply authorityValidate limits before action
    Checked
  3. Record the outcomeDecision and tool calls remain visible
    Traced
Policy attachedHuman escalation ready
People configure how AI can actExecution stays observable

The agent operating model

Let AI reason. Make its authority explicit.

We design the agent and the workflow around the same operating questions: what it can know, which tools it can call, when a person must decide, and what evidence remains after the action.

Approved context

Give the agent the evidence needed for this decision.

Define which customer records, policies, conversation history, documents, and session state can enter the prompt.

Order
#48192 / delivered
Policy
Refund window v4.2
Customer
Verified / standard tier
Excluded
Payment credentials
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.

One accountable execution

From request to system outcome.

The agent participates in the workflow, but CXFabric carries the identity, context, policy, action, and evidence across the full execution.

  1. RequestCan this order be refunded?
    customer
  2. ReasonEvaluate evidence and propose action
    AI worker
  3. AuthorityPolicy permits action within configured limit
    checked
  4. ExecutionCreate refund case and update CRM
    completed
Execution CXF-EX-18743Outcome and evidence recorded

What we deliver

An AI workflow. And a production operating model.

The service covers the business design and the technical implementation needed to move an agent from a promising demonstration into controlled operational work.

  1. 01

    Agent and workflow design

    Role, instructions, context, memory, tools, limits, exceptions, and human handoff are defined together.

    Design
  2. 02

    Tool and system implementation

    Approved business actions are implemented as validated CXFabric workflows and connectors.

    Build
  3. 03

    Behavior and control testing

    Expected decisions, unsafe requests, edge cases, approvals, retries, and system failures are exercised.

    Prove
  4. 04

    Deployment and operating ownership

    The runtime, logs, support path, model changes, prompts, policies, and recovery responsibilities are assigned.

    Operate

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.