Swiftask connects your workflows to the power of Melissa Data. Validate identities and contact information in real-time, directly within your automated processes.
Result:
Secure your transactions, reduce fraud, and ensure data quality with zero manual effort.
AI Agents
melissa data
Connector melissa data · Secure OAuth 2.0
Manually verifying identities is a major source of friction and error. Between processing forms, validating addresses, and running background checks, your teams waste valuable time and face compliance risks.
Main negative impacts:
High fraud risks
The lack of real-time automated validation allows incorrect or fraudulent data to enter your systems.
Poor customer experience
Manual processing delays prolong the onboarding journey, causing prospects to lose interest.
Increased compliance costs
Manual management of KYC/AML compliance is expensive, difficult to audit, and prone to human error.
Swiftask automates identity verification by integrating Melissa Data services. As soon as a new profile is created, the AI agent validates the data instantly, ensuring reliability and compliance.
BEFORE / AFTER
Traditional verification
A customer submits a form. A team member manually checks data across several databases, contacts the client for discrepancies, and waits for documents. The process takes days.
Verification with Swiftask + Melissa Data
The customer submits their info. Swiftask instantly queries Melissa Data, validating identity and address. If everything checks out, the file is approved in seconds.
1
STEP 1 : Define your criteria
Configure the validation requirements for your new accounts or transactions within Swiftask.
2
STEP 2 : Secure API integration
Connect your Melissa Data credentials to Swiftask to access real-time verification services.
3
STEP 3 : Automate the flow
Link your trigger (form, API) to the Melissa Data verification action within your Swiftask AI agent.
4
STEP 4 : Manage outcomes
Set automatic actions based on the verification result (approval, human review, rejection) without writing code.
The AI agent processes incoming data, cross-references info with Melissa Data databases, and analyzes confidence scores for every identity.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-melissa-data@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.
Reduce onboarding time from days to mere seconds.
Eliminate entry errors and obsolete data using reference databases.
Detect suspicious behavior and identity theft attempts at the point of entry.
Automate your KYC obligations and maintain clean records for compliance reporting.
Scale your verification flows as your business grows, without needing your IT team.
Swiftask applies enterprise-grade security standards for your melissa data automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| KYC processing time | 24-48 hours | Under 5 seconds |
| Data error rate | 15-20% | Under 1% |
| Operational cost per verification | High (manual labor) | Reduced by 70% |
| Onboarding conversion rate | Moderate | Optimized (+30%) |
Secure your transactions, reduce fraud, and ensure data quality with zero manual effort.