Pricing

Clean your HeySummit data automatically with AI

Swiftask connects your AI agents to HeySummit to clean, deduplicate, and normalize your event data in real time.

Result:

Gain reliability and precision. Turn raw data into actionable assets without manual effort.

The challenge of inconsistent data in HeySummit

Event registrations generate massive volumes of disorganized data. From duplicate entries to incorrect phone formats and incomplete fields, your contact lists quickly become unusable for your marketing campaigns.

Main negative impacts:

Data fragmentation: Duplicate profiles create a distorted view of your audience and hurt the accuracy of your conversion reports.
Ineffective campaigns: Using unclean data leads to high bounce rates and poor personalization of your post-summit communications.
Operational time loss: Your teams spend hours manually fixing entries in Excel or CRM instead of focusing on engagement.

Swiftask deploys AI agents capable of analyzing every HeySummit registration, identifying inconsistencies, and applying your cleanup rules automatically.

BEFORE / AFTER

What changes with Swiftask

Manual data management

Weekly export from HeySummit, tedious cleaning in a spreadsheet, risky re-import. Human errors persist and the cycle repeats endlessly.

Intelligent cleanup with Swiftask

As soon as a participant registers, the AI agent checks compliance, formats fields, merges duplicates, and updates your CRM instantly.

Reliability process in 4 steps

STEP 1 : Configure validation rules

Define your standards: email format, name casing, removal of duplicates based on unique identifiers.

STEP 2 : Connect your HeySummit account

Integrate Swiftask with HeySummit for real-time reading of every new registration.

STEP 3 : Deploy the cleanup agent

The AI analyzes incoming data, corrects anomalies, and enriches missing information if necessary.

STEP 4 : Automatic synchronization

Clean data is pushed to your CRM or marketing automation tool, ensuring your database is always up to date.

Intelligent processing capabilities

The AI examines syntax, contextual consistency, and entry history to detect subtle anomalies.

Target connector: The agent performs the right actions in heysummit based on event context.
Automated actions: Intelligent deduplication via fuzzy matching, data normalization (addresses, phones), email validation, automatic data enrichment.
Native governance: Every cleanup operation is logged in Swiftask for a full audit of your data quality.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-heysummit@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.

Strategic benefits of AI cleanup

1. Increased precision

Eliminate human errors and ensure your data is always ready for analysis.

2. Execution speed

Cleanup happens in milliseconds after each registration, eliminating any processing delay.

3. Marketing ROI improvement

Clean data means better open rates and precise segmentation of your prospects.

4. Simplified compliance

Better data management facilitates GDPR compliance through rigorous traceability.

5. Full scalability

Whether you have 10 or 10,000 registrations, your AI agent maintains the same level of data quality.

Data security and reliability

Swiftask applies enterprise-grade security standards for your heysummit automations.

Data encryption: All data processed between HeySummit and Swiftask is encrypted in transit and at rest.
Environment isolation: Each workspace is isolated, ensuring total confidentiality of your attendee lists.
Modification logging: Keep a track of every correction made by the AI for full transparency.
Robust infrastructure: Scalable architecture capable of handling registration spikes during your summits.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Performance metrics

Metric	Before	After
Database quality	Volatile and erroneous data	Certified and clean database
Management time	Several days per month	Automated continuously
Duplicate rate	High (15-20%)	Close to 0%
Data accuracy	High error risk	Standardized and verified

Take action with heysummit

Gain reliability and precision. Turn raw data into actionable assets without manual effort.