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Automate your RelationCity activity reports

Swiftask turns your RelationCity data into precise activity reports, generated and delivered without any human intervention.

Result:

Save hours every week by eliminating manual data entry and formatting for your KPIs.

Manual reporting: a major productivity bottleneck

Creating weekly or monthly activity reports in RelationCity is often a chore. Extracting data, cleaning it, creating charts, and writing summaries takes valuable time that your teams could spend on sales or consulting.

Main negative impacts:

  • Outdated data: The time spent preparing the report often makes the information obsolete by the time it's shared.
  • Human error risk: Manual data manipulation significantly increases the risk of input or calculation errors.
  • Lack of reactivity: Without automation, strategic decisions are made based on partial or delayed reports.

Swiftask connects your RelationCity data to an AI agent capable of aggregating, analyzing, and formatting your activity reports in real-time, according to your own rules.

BEFORE / AFTER

What changes with Swiftask

The traditional method

Every Friday afternoon, a manager exports RelationCity data, imports it into a spreadsheet, fixes errors, creates visuals, and emails everything. This process is repetitive, frustrating, and unreliable.

The Swiftask approach

Your AI agent connects to RelationCity, extracts defined KPIs, generates an actionable summary report, and sends it to the right people. Zero clicks, zero errors, 100% reliability.

Deploy your automated reporting in 4 steps

STEP 1 : Define KPIs

Identify the key RelationCity metrics you want to track in your report.

STEP 2 : Configure the AI agent

Set up the Swiftask agent to query RelationCity at regular intervals.

STEP 3 : Customize the format

Define the template and the delivery channel (Email, Slack, Teams, etc.).

STEP 4 : Activate the workflow

Launch the automation and receive your activity reports without extra effort.

Advanced features for your reports

The agent analyzes trends, identifies anomalies in RelationCity data, and writes contextual comments.

  • Target connector: The agent performs the right actions in relationcity based on event context.
  • Automated actions: Automatic extraction, multi-source data aggregation, PDF/HTML formatting, scheduled delivery, alerts on critical KPIs.
  • Native governance: Your RelationCity data security is guaranteed by our encryption protocols compliant with enterprise standards.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-relationcity@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 automate your reporting

1. Massive time savings

Reclaim hours of administrative work every week.

2. Absolute precision

Eliminate human errors related to copy-pasting.

3. Better decision-making

Make decisions based on fresh and reliable data.

4. Easier collaboration

Automatically share insights with all stakeholders.

5. Standardization

All your reports follow the same structure, making them easier to read and compare.

Security and privacy

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

  • Secure access: Connection via secure API to your RelationCity instance.
  • GDPR compliance: Data processing compliant with privacy protection requirements.
  • Full audit: History of all generated and sent reports available at any time.

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

RESULTS

Impact on your operational performance

MetricBeforeAfter
Generation time4 hours/week0 minutes (automated)
Error rate5-10%0%
Reporting frequencyMonthlyReal-time or on-demand

Take action with relationcity

Save hours every week by eliminating manual data entry and formatting for your KPIs.

Manage your RelationCity appointments automatically with AI agents

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