---
title: Business Content in CX Enterprise Coworker (CitiSignal)
slug: docs/business-content-in-cx-enterprise-coworker-citisignal
docTags: 
createdAt: 2026-10-12T14:36:34.988Z
---

:::ExpandableHeading
## Beta details

By using Business Context in CX Enterprise Coworker, you hereby acknowledge that the Beta is provided “as is” without warranty of any kind. Adobe shall have no obligation to maintain, correct, update, change, modify, or otherwise support the Beta. You are advised to use caution and not to rely in any way on the correct functioning or performance of such Beta and/or accompanying materials. The Beta is considered Confidential Information of Adobe. 

Any “Feedback” (information regarding the Beta including but not limited to problems or defects you encounter while using the Beta, suggestions, improvements, and recommendations) provided by You to Adobe is hereby assigned to Adobe including all rights, title, and interest in and to such Feedback.
:::

:::hint{type="info"}
This demo is sourced from the [Adobe Tech Insider hands-on exercise](https://experienceleague.adobe.com/en/docs/platform-learn/tutorial-one-adobe/agents/agents2/ex3). 

You're encouraged to use those training materials to learn more about Adobe Agentic AI capabilities.
:::



# Demo Script: Business Context in CX Enterprise Coworker

**Scenario:** Grounding the Coworker agent in CitiSignal business knowledge, then using it to answer business questions and build/publish an audience. 

**Demo Environment: **

- <u>IMS Org</u>: Adobe Demo System Shared org
- <u>AEP Sandbox</u>: Public Citi-signal (Telco)&#x20;

**Est. time:&#x20;**&#x38;–12 min

**Feature stage:** 🟡 Beta



## Step 1: Pre-flight checklist

1. Logged in to [CX Enterprise Coworker](https://experience.adobe.com/#/@demosystem4/sname\:public-citi-signal/coworker/i/chats) under the **Adobe Demo System Shared** org.
2. **Public CitiSignal (Telco)** sandbox selected.
3. **Coworker** opens, and the **Business Context** item is visible in the left menu.
4. Decide your audience naming token — the lab uses your **LDAP**

****

## Step 2: Verify the context with live prompts

Open **+ New chat&#x20;**&#x61;nd run these in order. Each prompt proves the agent is drawing on the uploaded document, not general knowledge.



| # | Prompt                                                                                 | What to point out                                                                                  |
| - | -------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| 1 | `what are the CitiSignal personas?`                                                    | Personas come **straight from the uploaded doc** — proof the context loaded.                       |
| 2 | `when is CitiSignal's Tax Refund season?`                                              | A business-specific fact the model couldn't know otherwise.                                        |
| 3 | `How did my website activity change during tax season this year?`                      | Agent now **combines business context with the sandbox's behavioral data.**                        |
| 4 | `Create an audience of customers who have high disposable intent in the last 30 days.` | "High disposable intent" is **defined in the business doc** — the agent applies *your* definition. |

**Then confirm the build:&#x20;**&#x35;. Type `yes` 6. Type `yes` (second confirmation)&#x20;

7\. Rename and publish — swap in your LDAP:

change the name to `LDAP - High Disposable Intent - Last 30 Days and publish the audience`

✅ **Result:&#x20;**&#x54;he audience `LDAP - High Disposable Intent - Last 30 Days` is created and published.