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Automate lead enrichment with Swiftask and AgentQL

Swiftask integrates with AgentQL to automate your lead data collection and enrichment. Turn raw lists into qualified profiles in seconds.

Resultat:

Eliminate manual entry. Get accurate, up-to-date data to boost your conversion rates.

Manual lead qualification is holding back your growth

Researching every prospect is time-consuming. Your sales team spends more time searching for data than actually selling. Outdated or missing data leads to missed opportunities.

Les principaux impacts négatifs :

Operational time loss: Hours spent manually enriching CRMs instead of contacting high-value prospects.
Fragmented and outdated data: Without automation, information is often incomplete, making personalization difficult.
Slow response time: Time wasted on qualification reduces your sales reactivity to incoming leads.

Swiftask uses AgentQL to automatically extract and enrich prospect data from the web, directly into your workflow.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask + AgentQL

A salesperson receives a company name. They must manually navigate LinkedIn, websites, look for contacts, copy data, and paste it into the CRM. A repetitive task taking 10 minutes per prospect.

With Swiftask + AgentQL

As soon as a prospect is added, the Swiftask agent queries AgentQL. Data is extracted, structured, and automatically pushed to your CRM. Your rep has a complete profile in seconds.

Automate your enrichment in 4 steps

ÉTAPE 1 : Define your needs

Configure the Swiftask agent to identify missing data on your leads (emails, titles, social links).

ÉTAPE 2 : Connect AgentQL

Link your AgentQL API key to Swiftask to enable intelligent web data extraction.

ÉTAPE 3 : Create the workflow

Define the trigger: a new row in a file or a new contact in the CRM.

ÉTAPE 4 : Launch enrichment

The agent processes every new lead instantly and updates your database.

Intelligent enrichment features

Contextual analysis of target web pages to extract only relevant data points.

Connecteur cible : L'agent exécute les bonnes actions dans agentql selon le contexte de l'événement.
Actions automatisées : Automatic data extraction, format normalization, real-time CRM updates, data validation.
Gouvernance native : Swiftask ensures every enrichment step is logged for full transparency.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-agentql@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.

Benefits for your sales team

1. Multiplied productivity

No more manual entry; your reps focus on selling.

2. Highly qualified data

Accurate information for personalized outreach campaigns.

3. Sales reactivity

Enriched leads instantly available to contact prospects at the right time.

Data security

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

GDPR compliant: Data processing adheres to the strictest privacy standards.
Secure access: Granular control over access rights to your prospecting tools.

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

RÉSULTATS

Impact on your performance

Métrique	Avant	Après
Qualification time	10 min/lead	10 seconds/lead
Data accuracy	Variable (human)	Standardized (AI)

Passez à l'action avec agentql

Eliminate manual entry. Get accurate, up-to-date data to boost your conversion rates.

Automatisez vos tests QA avec Swiftask et l'intelligence d'AgentQL

Cas d'usage suivant.