Clean and normalize your RelationCity data automatically with AI
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.
AI Agents
relationcity
Connector relationcity · Secure OAuth 2.0
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An unmaintained RelationCity database degrades quickly: duplicates, inconsistent formats, outdated information.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:
Reduced sales efficiency
Erroneous data leads to targeting mistakes, useless follow-ups, and a damaged brand image with prospects.
High maintenance costs
Manual cleansing is slow, repetitive, and prone to human error, consuming resources on low-value tasks.
Decisions based on false data
Without a clean foundation, your analytics and reporting lose all relevance, compromising your growth strategy.
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
1
STEP 1 : Define your quality rules
Configure your data standards in Swiftask: address format, name normalization, deduplication rules.
2
STEP 2 : Connect your RelationCity instance
Activate the secure connector between Swiftask and RelationCity. Swiftask accesses necessary data to perform audits.
3
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.
4
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.
- Target connector: The agent performs the right actions in relationcity based on event context.
- Automated actions: Automatic duplicate merging, format normalization (phones, emails, addresses), spell checking, missing data enrichment, audit reports.
- Native governance: All cleaning actions are logged for full transparency and rollback capabilities if needed.
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
Increased reliability
Your teams work with data that is always up-to-date, accurate, and ready to use.
Massive time savings
Automate data entry and cleaning tasks to free your staff for strategic missions.
Guaranteed compliance
Ensure data consistency to meet data protection standards and internal processes.
Scalability
The system processes thousands of entries instantly without slowing down your daily operations.
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.
- Secure API connection: The integration respects RelationCity's security standards to ensure your information is protected.
- Validation rules: You retain final control: approve automatic corrections or set the agent to autonomous mode.
- Modification traceability: Every correction is recorded with a complete history, facilitating data auditing.
- Data isolation: Swiftask processes your data in a secure, siloed environment, ensuring confidentiality.
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.