Swiftask integrates with Reviewflowz to automate the sorting and moderation of your reviews. Identify urgent issues and respond to customers in a blink.
Result:
Save valuable time on review management and maintain an exemplary brand image without manual effort.
AI Agents
reviewflowz
Connector reviewflowz · Secure OAuth 2.0
Monitoring and moderating hundreds of reviews across multiple platforms is an exhausting task. Support teams lose significant time reading every comment, classifying urgent cases, and drafting responses, often with a latency that hurts your overall rating.
Main negative impacts:
Slow response times
A negative review without a quick response can permanently damage your image. High volumes make manual tracking impossible.
Loss of valuable insights
Customer insights are drowned in the noise. Trends and points for improvement are not detected in real time.
Inconsistent responses
Multiple human moderators lead to tone and quality gaps in your public interactions.
Swiftask connects your AI agents to Reviewflowz. Every new review is analyzed instantly: classified by sentiment, priority, and topic, allowing for intelligent, automated moderation.
BEFORE / AFTER
Classic moderation
A team member manually browses Reviewflowz, reads every review, evaluates severity, then drafts a personalized response. If a critical review arrives on the weekend, the response waits until Monday, impacting customer trust.
Moderation with Swiftask
As soon as a review hits Reviewflowz, the Swiftask AI agent analyzes it. Positive reviews are thanked, critical reviews are tagged and escalated instantly to relevant teams, with a ready-to-use draft response.
1
STEP 1 : Swiftask agent configuration
Define your moderation guidelines and brand voice within the Swiftask interface.
2
STEP 2 : Connect to Reviewflowz
Activate the Reviewflowz connector to allow Swiftask to read your review streams in real time.
3
STEP 3 : Define routing rules
Set triggers: send an automatic response, alert a manager via Slack, or classify the review in a CRM.
4
STEP 4 : Validation and deployment
Test suggested responses and switch to automated mode for seamless management.
The agent analyzes sentiment, language, presence of specific keywords, and assigned rating to qualify each review.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-reviewflowz@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.
Your customers receive immediate attention, regardless of when the review is posted.
AI identifies urgent cases, ensuring critical reviews are treated with top priority.
Every response strictly adheres to your editorial guidelines and brand voice.
Turn your reviews into actionable data to improve your products and services.
Free your teams from repetitive tasks to focus on complex cases.
Swiftask applies enterprise-grade security standards for your reviewflowz automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Average response time | 24 to 48 hours | Under 5 minutes |
| Processing rate | Partial (depending on load) | 100% of reviews processed |
| Customer satisfaction | Stagnant | 15% improvement in score |
| Human time dedicated | Several hours/day | Under 30 min (supervision) |
Save valuable time on review management and maintain an exemplary brand image without manual effort.