Pricing

Detect Fireberry customer disengagement before it's too late

Swiftask analyzes your Fireberry data in real-time to spot signs of disengagement. Receive immediate alerts to intervene proactively.

Result:

Reduce churn rates and strengthen customer loyalty through continuous AI-powered monitoring.

The hidden cost of undetected customer disengagement

Churn never happens without warning. It is often preceded by weak signals in your Fireberry CRM: declining logins, rising support tickets, or reduced usage. Without an automated alert system, these signals go unnoticed until the customer leaves.

Main negative impacts:

Predictable revenue loss: Customer departure is often irreversible once a cancellation is submitted. Lack of early warnings prevents any corrective action.
Overwhelmed CS teams: Without automated insights, your customer success managers waste time manually analyzing hundreds of accounts.
Reactive and ineffective response: Trying to retain an unhappy customer at the point of departure is much costlier than maintaining engagement throughout the lifecycle.

Swiftask connects to your Fireberry instance to monitor key metrics. Our AI engine detects behavioral anomalies and triggers targeted alerts for your Customer Success team.

BEFORE / AFTER

What changes with Swiftask

Before Swiftask: A reactive approach

Your CS team waits to see a cancellation request or receives a complaint ticket to act. By then, the relationship is already damaged, and retention efforts are likely to fail.

With Swiftask + Fireberry: A proactive strategy

The AI spots a downward trend in Fireberry interactions. An alert is sent automatically to your Slack channel or email, enabling personalized intervention before the risk becomes critical.

Setting up your AI monitoring in 4 steps

STEP 1 : Connect your Fireberry instance

Link Swiftask to your Fireberry CRM in a few clicks. No technical development is needed to access your customer data.

STEP 2 : Define your disengagement signals

Set the criteria that trigger the AI: drop in tickets, prolonged inactivity, or changes in account status.

STEP 3 : Configure alert channels

Choose where your teams will receive notifications (Slack, email, Teams, or directly in Fireberry).

STEP 4 : Activate continuous monitoring

The AI agent analyzes data 24/7. As soon as a threshold is met, the alert is generated instantly.

Advanced features for retention

The agent reviews the full interaction history in Fireberry, correlating support data with usage data for an accurate risk score.

Target connector: The agent performs the right actions in fireberry based on event context.
Automated actions: Sending personalized alerts, prioritizing at-risk accounts, suggesting outreach messages, automatic updates to Fireberry fields.
Native governance: All alerts are centralized in Swiftask, allowing for post-intervention analysis on the effectiveness of your actions.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-fireberry@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why choose Swiftask for your retention

1. Churn anticipation

Identify at-risk customers before they show signs of leaving.

2. Operational time savings

No more manual analysis of Fireberry reports. The AI does the sorting for you.

3. Targeted and personalized action

Receive contextual alerts with recommendations on the best approach to take.

4. Improved Customer Success

Your teams focus only on customers who truly need attention.

5. Seamless integration

Swiftask runs in the background with your existing CRM without disrupting your current processes.

Security and data privacy

Swiftask applies enterprise-grade security standards for your fireberry automations.

Data encryption: All communications between Fireberry and Swiftask are end-to-end encrypted.
GDPR compliance: Swiftask ensures compliant handling of customer data extracted from your CRM.
Granular control: You decide exactly which Fireberry data is accessible by the AI agent.
Robust architecture: Infrastructure designed for enterprise scalability and high availability.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance metrics

Metric	Before	After
Detection time	Days/weeks	Real-time
Retention rate	Current baseline	Measurable increase
CS efficiency	Random allocation	Focus on high-risk accounts
Customer Acquisition Cost	High (constant churn)	Optimized through loyalty

Take action with fireberry

Reduce churn rates and strengthen customer loyalty through continuous AI-powered monitoring.

Generate Fireberry reports automatically with AI

Next use case