Validate B2B domains automatically with Klazify and Swiftask
Swiftask connects your AI agents to Klazify. Qualify every incoming domain instantly to identify high-potential companies.
Result:
Increase prospecting accuracy by eliminating invalid data at the pipeline entry.
AI Agents
klazify
Connector klazify · Secure OAuth 2.0
Manual domain qualification slows your growth
Processing domain lists manually is a major source of inefficiency. Your teams waste valuable time verifying company legitimacy, creating bottlenecks in the sales process.
Main negative impacts:
Unreliable lead data
Lack of real-time verification leads to an accumulation of invalid leads in your CRM.
Slow sales processes
Time spent manually qualifying each domain delays contact with hot prospects.
Marketing effort waste
Campaigns sent to unqualified domains damage your deliverability rates and ROI.
Swiftask automates domain validation via Klazify. Every new lead is analyzed instantly to determine sector, size, and legitimacy.
BEFORE / AFTER
What changes with Swiftask
Before Swiftask automation
A sales team receives hundreds of leads. Each domain must be manually checked on third-party tools, wasting hours and generating human errors.
With Swiftask + Klazify
As soon as a prospect submits their email, Swiftask queries Klazify. The domain is validated and enriched in milliseconds. Your sales team only receives qualified leads.
4 steps to automate your domain validation
1
STEP 1 : Configure your Swiftask agent
Create an AI agent dedicated to lead qualification in your Swiftask workspace.
2
STEP 2 : Connect the Klazify API
Integrate your Klazify credentials into Swiftask to allow the agent to access domain data.
3
STEP 3 : Define your validation criteria
Configure filtering rules (industry, company size, country) to automatically validate or reject domains.
4
STEP 4 : Sync your CRM
The agent automatically updates your CRM with the enriched data from Klazify.
What your AI agent can do
The agent analyzes domain structure, industry, geographical location, and technical reliability via Klazify.
- Target connector: The agent performs the right actions in klazify based on event context.
- Automated actions: Real-time domain validation, industry categorization, company profile enrichment, automatic lead filtering, dynamic CRM updates.
- Native governance: All validations are logged in Swiftask for continuous data quality analysis.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-klazify@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 automate with Swiftask
Data precision
Eliminate human error and work only with verified data.
Sales productivity
Your teams focus on selling, not manual data entry or verification.
Reduced sales cycle
Instant qualification lets you prioritize promising leads without waiting.
No-code scalability
Adjust your validation criteria without writing a single line of code.
Seamless integration
Klazify integrates naturally into your existing workflows via Swiftask.
Security and compliance
Swiftask applies enterprise-grade security standards for your klazify automations.
- Data security: Swiftask ensures secure management of your API keys and prospect data.
- Access governance: Control exactly who can modify validation rules within your organization.
- Full traceability: Every validation request is logged to ensure total transparency.
- GDPR compliance: Our processes respect privacy standards for B2B data handling.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Pipeline performance
| Metric | Before | After |
|---|---|---|
| Qualification time | Minutes per lead | Milliseconds |
| Invalid lead rate | High | Near zero |
| Sales productivity | Limited | +40% available time |
| Deployment | Weeks | A few minutes |
Take action with klazify
Increase prospecting accuracy by eliminating invalid data at the pipeline entry.