Pricing

Analyze complex reports in seconds with your AI agents

Swiftask integrates with Agentset to automatically analyze your reports. Get summaries, trends, and strategic recommendations without manual effort.

Result:

Save hours of weekly analysis and make decisions based on reliable, real-time data.

Manual report analysis slows down your decision-making

Your teams spend valuable time reading, synthesizing, and extracting data from large reports. This manual process is not only slow but also prone to human error and interpretation bias.

Main negative impacts:

Information overload: The volume of daily reports prevents in-depth and timely analysis.
Decision latency: The time required to extract key insights delays your critical strategic actions.
Inconsistent analysis: Without a standardized AI-driven approach, conclusions vary from one employee to another.

Swiftask, paired with Agentset, automates the ingestion and analysis of your reports. Your AI agents identify key points, detect anomalies, and generate actionable summary reports.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A manager receives 50 pages of reports. They have to scan them, note key takeaways, compare with previous data, and write a summary. It takes 3 hours and the information is already partially outdated.

With Swiftask + Agentset

As soon as a report is uploaded, the AI agent analyzes it instantly. It sends a concise summary with the 3 major trends and performance alerts directly into your workflow.

Analyze your reports in 4 simple steps

STEP 1 : Connect your sources via Agentset

Centralize your reports in Agentset. Swiftask connects to them to access data securely.

STEP 2 : Define your analysis objectives

Configure the Swiftask agent to extract specific KPIs, trends, or anomalies.

STEP 3 : Automate the processing

Each new report is automatically processed as soon as it is received.

STEP 4 : Receive your insights

Results are delivered to your preferred communication channel or business tool.

Advanced analysis features

The AI analyzes semantic context, key figures, and compares historical data for a 360° view.

Target connector: The agent performs the right actions in agentset based on event context.
Automated actions: Automatic summarization of long documents. Extraction of structured data. Detection of financial or operational anomalies. Generation of recommendations based on business rules.
Native governance: Each analysis is traceable and can be audited via the Swiftask dashboard.

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

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

Strategic benefits

1. Massive productivity gain

Eliminate time-consuming reading and synthesis tasks.

2. Increased accuracy

Eliminate human errors through systematic AI analysis.

3. Strategic reactivity

Act based on data as soon as it is available.

4. Standardization

Apply the same analytical rigor to all your reports.

5. Team alignment

Share clear and consistent insights across the organization.

Security and privacy

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

Data encryption: Your reports are protected during transfer and analysis.
GDPR compliance: Swiftask adheres to the strictest data protection standards.
Granular control: You maintain full control over data access.
Environment isolation: Each client benefits from a dedicated environment.

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

RESULTS

Impact on your performance

Metric	Before	After
Analysis time	Several hours	A few seconds
Data accuracy	Variable (human)	High (AI)
Reports processed	Limited	Unlimited
Decision delay	Days	Real-time

Take action with agentset

Save hours of weekly analysis and make decisions based on reliable, real-time data.