Swiftask integrates with RelationCity to identify, correct, and harmonize your data in real time. Maintain a reliable database without manual intervention.
Result:
Eliminate duplicates, fix entry errors, and ensure the integrity of your critical data continuously.
Degraded RelationCity data is expensive
An unmaintained RelationCity database degrades quickly: duplicates, inconsistent formats, outdated information. This clutter prevents your teams from making informed decisions and reduces campaign effectiveness.
Main negative impacts:
Swiftask automates the cleansing of your RelationCity data. Your AI agents detect anomalies, normalize formats, and merge duplicates according to your business rules, ensuring a single source of truth.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Your teams spend hours every week manually checking RelationCity records, correcting typos, and deleting duplicates. Despite these efforts, errors persist and the database remains fragmented.
With Swiftask + RelationCity
Your AI agent continuously monitors entries in RelationCity. As soon as data fails to meet your standards, it is automatically corrected or flagged for validation. Your database stays healthy, effortlessly.
4 steps to automate your cleansing
STEP 1 : Define your quality rules
Configure your data standards in Swiftask: address format, name normalization, deduplication rules.
STEP 2 : Connect your RelationCity instance
Activate the secure connector between Swiftask and RelationCity. Swiftask accesses necessary data to perform audits.
STEP 3 : Configure the cleaning agent
The agent scans your database, identifies anomalies in real time, and applies defined corrections or alerts you in case of conflict.
STEP 4 : Monitor data health
Check the Swiftask dashboard to track the volume of data processed and corrections made daily.
Intelligent cleaning capabilities
The agent analyzes each entry to detect inconsistencies, potential duplicates, and formatting errors based on your business rules.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-relationcity@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
1. Increased reliability
Your teams work with data that is always up-to-date, accurate, and ready to use.
2. Massive time savings
Automate data entry and cleaning tasks to free your staff for strategic missions.
3. Guaranteed compliance
Ensure data consistency to meet data protection standards and internal processes.
4. Scalability
The system processes thousands of entries instantly without slowing down your daily operations.
5. Unified governance
Control cleaning rules from a single interface and adapt them as your business needs evolve.
Security and integrity
Swiftask applies enterprise-grade security standards for your relationcity automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your efficiency
| Metric | Before | After |
|---|---|---|
| Time spent cleaning | Several days/months | Minutes (supervision) |
| Input error rate | High (manual) | Near zero (automated) |
| Database quality | Unstable | Certified and consistent |
| Team productivity | Low (repetitive tasks) | Maximal (value-driven) |
Take action with relationcity
Eliminate duplicates, fix entry errors, and ensure the integrity of your critical data continuously.