Tarification

Optimize your Aroflo schedules with AI

Swiftask connects your AI agents to Aroflo to automate scheduling. Assign the right tasks to the right technicians instantly.

Resultat:

Reduce travel time and increase the utilization rate of your field resources.

Manual scheduling in Aroflo limits your productivity

Managing field schedules via Aroflo requires constant adjustments. Between unexpected events, emergencies, and logistics, your managers spend hours juggling calendars, losing crucial responsiveness.

Les principaux impacts négatifs :

Excessive travel time: Manual scheduling struggles to optimize routes. As a result, your technicians spend too much time on the road.
Limited responsiveness to emergencies: Reassigning a task in an emergency takes time. Communication is often slow and error-prone.
Under-utilization of skills: Assignments do not always account for each technician's specialties, reducing the quality of service provided.

Swiftask analyzes your Aroflo data in real time to automate scheduling. The AI agent proposes or executes the best assignments based on your business criteria.

AVANT / APRÈS

Ce qui change avec Swiftask

Manual Aroflo management

A manager receives a service request, checks availability in Aroflo, calls technicians, adjusts routes. A time-consuming procedure that creates bottlenecks.

With Swiftask + Aroflo

The Swiftask AI agent processes the request instantly, analyzes required skills, technician geolocation, and the schedule. It updates Aroflo automatically.

Setting up your AI scheduling in 4 steps

ÉTAPE 1 : Connect Aroflo to Swiftask

Link your Aroflo account via API to allow Swiftask to read schedules and task data.

ÉTAPE 2 : Set your business rules

Define constraints: geographical zones, technical skills, time slots, and priorities.

ÉTAPE 3 : Enable the optimization engine

The AI agent starts analyzing new tasks and suggests or applies the best assignments.

ÉTAPE 4 : Monitor and adjust

Track scheduling performance in Swiftask and adjust settings based on field feedback.

Advanced scheduling features

The AI agent crosses Aroflo data with external parameters (traffic, emergencies, skills) for informed decision-making.

Connecteur cible : L'agent exécute les bonnes actions dans aroflo selon le contexte de l'événement.
Actions automatisées : Automatic task assignment, dynamic route reorganization, alerts for scheduling conflicts, bidirectional synchronization with Aroflo.
Gouvernance native : Swiftask ensures full traceability of every schedule change in Aroflo.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-aroflo@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Major operational benefits

1. Administrative time savings

Automate repetitive scheduling tasks and free up time for your managers.

2. Increased field productivity

Optimize routes and maximize the number of interventions per day.

3. Improved customer satisfaction

Reduced intervention delays and better accuracy in time slots.

4. Enhanced agility

Adapt your schedule in seconds in the face of unforeseen events using AI.

5. Data-driven decision making

Analyze the performance of your teams using consolidated reports in Swiftask.

Security and data privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations aroflo.

Secure API integration: Encrypted connection with Aroflo adhering to the strictest security standards.
Granular control: You maintain total control over AI decisions via validation rules.
GDPR compliance: Secure management of your technicians' and clients' data in accordance with regulations.
Environment isolation: Each client has their own secure workspace.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your key metrics

Métrique	Avant	Après
Scheduling time	Several hours per day	A few minutes
Average travel time	High (not optimized)	Reduced by 15-20%
Manual assignment rate	100%	Less than 5% (exception)
Emergency response time	Long and complex	Instant

Passez à l'action avec aroflo

Reduce travel time and increase the utilization rate of your field resources.

Générez vos rapports Aroflo automatiquement grâce à vos agents IA

Cas d'usage suivant.