Pricing

Synchronize your Radar and CRM data in real time with AI

Swiftask connects Radar to your CRM. Your data is updated automatically between both systems, eliminating manual entry errors and information silos.

Result:

Boost reliability and productivity by letting your AI agents handle your customer data flow.

Data fragmentation between Radar and your CRM

Managing scattered customer data between Radar and a CRM is a daily challenge. Repetitive manual entry leads to errors, duplicates, and update delays that harm customer relationships.

Main negative impacts:

Data inconsistency: Customer information diverges between Radar and the CRM, leading to skewed analytics and communication errors.
Operational time loss: Your teams spend hours manually transferring data instead of focusing on analysis or sales.
Limited customer responsiveness: Without real-time sync, the customer service team lacks visibility on the latest actions recorded in Radar.

Swiftask deploys intelligent AI agents that automatically synchronize your data between Radar and your CRM. The transfer is fluid, secure, and fully automated based on the business rules you define.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A client performs an action in Radar. An employee must manually extract this data, open the CRM, check the profile, and update the corresponding field. If the employee forgets or makes a mistake, the info is lost or wrong.

With Swiftask + Radar

As soon as a data point is generated or modified in Radar, the Swiftask agent detects it instantly, processes it, and updates the CRM. Data is synchronized in seconds without any human intervention.

4 steps to connect Radar to your CRM

STEP 1 : Set up your Swiftask agent

Create a dedicated synchronization agent in Swiftask, configured to interpret Radar data.

STEP 2 : Connect data sources

Connect Radar and your CRM to the agent via our secure no-code connectors.

STEP 3 : Define mapping rules

Tell the agent which Radar fields should feed into which fields in your CRM.

STEP 4 : Activate and monitor

Turn on synchronization and track the data flow in real time from the Swiftask dashboard.

Data automation capabilities

The AI agent analyzes the format and relevance of each data point before synchronization to prevent typing errors or duplicates.

Target connector: The agent performs the right actions in radar based on event context.
Automated actions: Bidirectional or unidirectional synchronization, automatic data cleaning, profile enrichment, triggering CRM actions based on Radar events.
Native governance: Swiftask provides full logging of all synchronization operations to ensure a reliable audit trail.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-radar@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.

Benefits of this integration

1. Unified data

A single source of truth for your marketing, sales, and support teams.

2. Elimination of errors

Automated AI processing eliminates errors caused by manual entry.

3. Massive time savings

Drastic reduction in time spent on administrative update tasks.

4. Commercial agility

Your teams have the latest information to personalize interactions.

5. Enhanced compliance

Strict access governance and full traceability of data exchanges.

Security and data protection

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

End-to-end encryption: All data synchronized between Radar and your CRM is encrypted in transit and at rest.
Granular control: You define precisely which data can be synchronized and by which agent.
GDPR compliance: Swiftask integrates security standards to ensure confidentiality and personal data management.
Full audit trail: Comprehensive history of synchronizations to facilitate internal audits.

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

RESULTS

Impact on your performance

Metric	Before	After
Update time	Several hours (manual)	Real-time (automated)
Entry error rate	5% to 10%	0% (AI validation)
Team productivity	Time lost on admin	Focus on value
Deployment	Complex development	Rapid setup

Take action with radar

Boost reliability and productivity by letting your AI agents handle your customer data flow.