Swiftask integrates real-time Ambee data to control your HVAC system. Automatically adjust your consumption based on air quality and weather conditions.
Result:
Drastically reduce your energy bills while ensuring optimal comfort for your occupants.
AI Agents
ambee
Connector ambee · Secure OAuth 2.0
Most HVAC systems operate on fixed cycles, ignoring real-time external environmental conditions. The result: unnecessary overconsumption, premature equipment wear, and a high carbon footprint.
Main negative impacts:
Energy overconsumption
Heating or cooling runs at full capacity even when outdoor conditions allow for natural regulation.
Non-optimized comfort
Without data on air quality or pollutants, the system cannot adapt to maintain a healthy environment.
High maintenance costs
Rigid control leads to excessive machine stress, increasing maintenance needs and reducing lifespan.
Swiftask uses Ambee APIs to inject precise environmental data into your workflows. Your AI agent dynamically adjusts your HVAC settings based on pollution, temperature, and humidity.
BEFORE / AFTER
Without Swiftask + Ambee
Your building follows a fixed schedule. On a sunny but polluted day, the system pulls in outdoor air without reinforced filtration, while cooling unoccupied zones unnecessarily.
With Swiftask + Ambee
The AI agent detects a pollution spike and mild temperatures via Ambee. It automatically adjusts ventilation to prioritize filtered air recirculation and reduces HVAC power.
1
STEP 1 : Connect Ambee to Swiftask
Integrate the Ambee data feed into your Swiftask environment to access local pollution and weather data.
2
STEP 2 : Define your control rules
Configure thresholds (e.g., if pollution index > X, then switch to filtration mode).
3
STEP 3 : Create the decision agent
The Swiftask agent processes Ambee data and sends adjustment commands to your BMS (Building Management System).
4
STEP 4 : Monitor savings
View the adjustments made and the direct impact on your energy consumption in your dashboard.
Cross-analysis of air quality data (PM2.5, NO2), local weather, and zone occupancy.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-ambee@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.
Avoid waste by adapting consumption to real conditions.
Protect occupant health by adjusting cycles based on pollution spikes detected by Ambee.
Less unnecessary stress on your systems.
Reduce your carbon footprint with proof of intelligent control.
A no-code approach to transforming your buildings into smart buildings.
Swiftask applies enterprise-grade security standards for your ambee automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Energy consumption | Fixed standard | -15% to -30% (average) |
| Indoor air quality | Variable | Controlled and optimal |
| Human control | Frequent | Zero (fully autonomous) |
Drastically reduce your energy bills while ensuring optimal comfort for your occupants.