Pricing

Forecast your performance with predictive analysis for Cockpit

Swiftask connects your AI agents to Cockpit to turn historical data into actionable forecasts. Stop reacting, start steering your business.

Result:

Gain peace of mind and precision. Identify opportunities and risks before they materialize.

A vision limited by past data

Most Cockpit dashboards only report what has already happened. Without projection capabilities, your decisions remain reactive rather than proactive. You waste precious time analyzing the rearview mirror instead of looking at the road ahead.

Main negative impacts:

Strategic misalignment: The lack of reliable forecasts prevents optimal resource allocation. You often act too late relative to market trends.
Missed growth opportunities: Weak signals in your Cockpit data are ignored. You miss out on major performance levers due to a lack of predictive analysis.
Hidden operational costs: Planning errors due to a lack of visibility on the future directly impact your margins and overall efficiency.

Swiftask integrates predictive analysis directly into your Cockpit workflow. Our AI agents continuously analyze your data to provide accurate projections, allowing you to adjust your strategy in real time.

BEFORE / AFTER

What changes with Swiftask

Traditional management

You check Cockpit every morning. You notice a performance dip over the past week. You try to understand why and launch corrective actions. By the time the results arrive, the market has already changed.

Swiftask predictive approach

Your AI agent analyzes Cockpit data and detects a trend anomaly before it impacts your results. It alerts you and suggests preventive corrective actions. You stay one step ahead.

Deploy your predictive engine in 4 steps

STEP 1 : Secure connection to Cockpit

Link Swiftask to your Cockpit instance. Access is limited to necessary data to ensure maximum security.

STEP 2 : Define prediction goals

Specify the KPIs you want to forecast: sales volume, inventory needs, churn rate, or campaign performance.

STEP 3 : AI agent training

The agent analyzes your historical data and learns correlations specific to your business, without requiring data scientists.

STEP 4 : Monitoring and automated alerts

Receive your forecasts directly in your work tools. The agent refines its models as new data arrives.

Agent analysis capabilities

The agent evaluates seasonality, underlying trends, multi-source correlations, and external impacts on your Cockpit indicators.

Target connector: The agent performs the right actions in cockpit based on event context.
Automated actions: Generation of automated forecast reports. Proactive alerts on KPI drifts. 'What-if' scenario simulation. Action recommendations based on predictions.
Native governance: All predictions are sourced and explained by the agent to ensure total transparency in your decision-making processes.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-cockpit@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 adopt predictive analysis

1. Informed decision-making

Stop relying on intuition. Your decisions are backed by predictive models based on your own data.

2. Risk reduction

Anticipate crises and performance drops before they become critical for your business.

3. Resource optimization

Allocate your time and budget where they will have the most impact according to your agent's projections.

4. Increased agility

React to market changes with a head start thanks to advanced leading indicators.

5. Data value realization

Turn raw data in Cockpit into a major strategic asset for your growth.

Data confidentiality and integrity

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

End-to-end encryption: Your Cockpit data is protected during analysis by our AI agents.
Granular access control: You define exactly which data the agent can read and analyze.
GDPR compliance: Swiftask adheres to the strictest standards for professional data protection.
Model isolation: Each predictive model is trained specifically for your business, with no data sharing between clients.

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

RESULTS

Measurable impact on your business

Metric	Before	After
Forecast accuracy	Based on simple history	Adaptive AI model (+30% accuracy)
Analysis time	Several days/weeks	Real time
Trend reactivity	Reactive (post-event)	Proactive (pre-event)
Technical complexity	Dedicated data team	No-code configuration

Take action with cockpit

Gain peace of mind and precision. Identify opportunities and risks before they materialize.

Drive Cockpit with an intelligent conversational interface

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