> ## Documentation Index
> Fetch the complete documentation index at: https://help.daylit.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Customer AI signals and collection insights explained

> Daylit's AI generates risk signals, conversation summaries, and collection strategy plans for each customer to guide your AR team's actions.

## Purpose

**Jobin (AR manager)** at **Acme Corporation** uses AI signals to prioritize outreach without reading months of email history. Signals flag worsening payment behavior early and attach **Conversation Summary** and **AI recommended strategy** so **Jobin (AR manager)** knows exactly what to write in the next follow-up.

## Acme Corporation — priority risky accounts

These five customers appear throughout the docs as **Jobin (AR manager)**'s typical Monday triage list:

| Customer                 | Signal                | What it means                                                                                                                 |
| ------------------------ | --------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| Apex Solutions           | Credit risk           | Liquidity crisis on the customer side — **Jobin (AR manager)** escalates to **Maria (VP Finance)** before aggressive dunning. |
| Mesa Valley Construction | Promise to pay active | Broken payment promise — **Jobin (AR manager)** sends a firm follow-up via **Next Step**.                                     |
| Redwood Chemical Supply  | Promise to pay active | Broken payment promise — **Jobin (AR manager)** may **Rewrite** the draft or **Save draft** until after a call.               |
| Orion Electric Supply    | Disputed pricing      | Active dispute driving short payments — **Jobin (AR manager)** pauses program touchpoints and applies the **Disputed** label. |
| Sterling Logistics       | Contract dispute      | Adversarial tone, legal involved — **Jobin (AR manager)** routes internally to **Maria (VP Finance)**; no automated outreach. |

AI signals transform a reactive collections process into a proactive one. Instead of waiting for an invoice to hit 60 days past due, the AI flags worsening payment behavior immediately, providing drafted emails and call scripts that **Jobin (AR manager)** can execute in one click.

## What AI signals are

An AI signal is a pattern detected on a customer account that warrants attention. Signals are generated by analyzing a combination of payment behavior data and communication history.

Common signal types include:

* **Payment behavior worsening** — The customer is paying materially slower than their own historical baseline.
* **Severe or chronic late pattern** — The customer has a persistent history of paying late.
* **Accelerating deterioration** — Lateness has worsened month over month.
* **Balance growing** — Open balance is increasing while payment velocity is flat or declining.
* **Ghosting** — The customer is unresponsive to outreach despite having an overdue balance.
* **Churn risk** — Open balance has dropped sharply, the customer has gone quiet, and remaining balance is deeply aged.
* **Frequent short payer** — The customer routinely pays less than the invoiced amount.

## Signal severity levels

Every signal is assigned a severity to help your team prioritize:

| Severity    | Meaning                                                                       |
| ----------- | ----------------------------------------------------------------------------- |
| **Risky**   | Immediate attention required. The AI has detected a significant risk pattern. |
| **Watch**   | Action recommended soon. The pattern is concerning but not yet critical.      |
| **Healthy** | No collection action needed. The account is in good standing.                 |

## Conversation summary

The AI reads every email and logged communication in a customer's thread and generates a concise summary of where things stand. The summary answers:

* What is the current status of the collection conversation?
* Who needs to take the next action?
* Is there a commitment date or a predicted payment date in the conversation?

## Collection strategy plan

For each customer, the AI generates a recommended next step — either send an email, make a call, or escalate internally. The strategy plan includes:

* **Recommended action** — The specific action type (email, call, or internal follow-up).
* **Reasoning** — A brief explanation of why this action is recommended.
* **Urgency** — A score and bucket (Critical, Today, This Week, Upcoming) indicating how time-sensitive the action is.
* **Email draft or call script** — A pre-written draft with the appropriate tone and template.

You can act directly on the strategy plan from the customer detail page or from **Inbox**.

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## Giving feedback on an insight

You can rate any AI insight to help improve signal quality over time using the **thumbs up** or **thumbs down** buttons next to any insight section. Feedback is shared with Daylit's AI team and used to calibrate the models for your account.
