Pricing

Centralize your Worksnaps data with Swiftask AI

Swiftask automatically aggregates your Worksnaps metrics. Turn your work time data into actionable insights instantly.

Result:

Gain visibility into team performance without manual reporting overhead.

Fragmented Worksnaps data hinders your analysis

Your time and productivity data remains locked within Worksnaps. Without centralization, you waste precious time extracting manual reports, preventing a real-time, global view of your business activity.

Main negative impacts:

Fragmented analytics: Data remains isolated. Correlating Worksnaps performance with global business objectives is complex and slow.
Costly manual reporting: Managers spend hours consolidating timesheets and activity logs instead of optimizing operational processes.
Limited reactivity: Without a unified data pipeline, alerts on overruns or productivity dips arrive too late to act.

Swiftask automates the synchronization of your Worksnaps data. Your AI agent centralizes information to generate dashboards and performance reports in real time.

BEFORE / AFTER

What changes with Swiftask

Manual data management

A manager exports Worksnaps reports weekly. They clean, combine, and analyze them in a spreadsheet. The process is slow, error-prone, and obsolete by the time it is published.

Automated Swiftask pipeline

Swiftask connects continuously to Worksnaps. Data is ingested, structured, and analyzed by the AI agent. You access up-to-date performance reports without any technical manual work.

Data pipeline setup in 4 steps

STEP 1 : Connector initialization

Enable the Worksnaps integration in your Swiftask interface to authorize secure retrieval of your time data.

STEP 2 : Scope selection

Define which projects, teams, or timeframes should be synchronized to your Swiftask environment.

STEP 3 : AI agent configuration

Set up your AI agent to process incoming data: anomaly detection, productivity summaries, or executive reports.

STEP 4 : Automated delivery

Schedule the automatic delivery of generated analyses to your decision-making tools (Email, Teams, Slack, or dashboards).

AI agent analysis capabilities

The agent processes activity logs, time spent per project, and work intensity levels provided by Worksnaps.

Target connector: The agent performs the right actions in worksnaps based on event context.
Automated actions: Multi-project data aggregation. Automatic productivity trend detection. Weekly summary generation. Alerts on significant deviations from work standards.
Native governance: All synchronized data is processed with end-to-end encryption and complies with your privacy policies.

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

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

Operational benefits of centralization

1. 360° visibility

Access a unified view of your team's activity, consolidated automatically.

2. Fact-based decisions

Stop speculating. Use precise data analyzed by AI to adjust your resources effectively.

3. Massive time savings

Automate collection and reporting to focus on strategic management.

4. Proactive detection

Identify bottlenecks or productivity dips as they occur through continuous analysis.

5. Simplified compliance

Centralize logs to facilitate compliance audits and time-tracking requirements.

Security and data privacy

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

Secure Worksnaps API: Connection via secure tokens ensuring the integrity of your time data.
Environment isolation: Each Swiftask workspace is siloed, protecting your sensitive data.
Flow control: You decide exactly what data is synchronized and who has access to generated reports.
GDPR compliance: Data processing complies with the strictest standards currently in force.

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

RESULTS

Impact on your performance

Metric	Before	After
Reporting preparation time	4-6 hours / week	0 hours (automated)
Data freshness	Weekly	Real-time
Analysis accuracy	High human error risk	Algorithmic reliability
Strategic focus	Low	Top priority

Take action with worksnaps

Gain visibility into team performance without manual reporting overhead.