Manage your AI agent performance with Swiftask and Orq.ai
Visualize your AI agents' usage and accuracy data. The Orq.ai integration brings advanced observability to your Swiftask ecosystem.
Result:
Make data-driven decisions to improve the relevance and ROI of your automations.
AI Agents
orq.ai
Connector orq.ai · Secure OAuth 2.0
The lack of visibility into your AI agent's efficiency
Deploying AI agents is just the first step, but without precise data, you are flying blind. How do you know if your agents are answering correctly? What are the latency rates? Where are the bottlenecks?
Main negative impacts:
Optimization based on intuition
Without reliable metrics, adjustments to prompts or workflows are based on guesses rather than facts.
Delayed error detection
Deviant behaviors or drops in accuracy go unnoticed until they impact the final user experience.
Difficulty justifying ROI
Without clear performance indicators, it is complex to demonstrate the value of your AI investments to management.
Thanks to the Swiftask and Orq.ai connection, you gain a unified view of performance. Analyze every interaction, track costs, and refine your agents continuously.
BEFORE / AFTER
What changes with Swiftask
Without centralized analytics
You deploy AI agents without specific monitoring tools. User feedback is sporadic and unstructured. You cannot accurately measure response quality or the actual cost per interaction.
With Swiftask + Orq.ai
Every interaction is monitored. Orq.ai captures key metrics that you view in Swiftask. You instantly identify underperforming agents and adjust your strategies in a few clicks.
4 steps to monitor your agents
1
STEP 1 : Enable the Orq.ai connector
In Swiftask settings, link your Orq.ai account via your API key to initialize data reporting.
2
STEP 2 : Define your target KPIs
Select the metrics essential to your business: latency, success rate, cost per token, or user satisfaction.
3
STEP 3 : Correlate the data
View Orq.ai performance data alongside workflows configured in Swiftask to identify correlations.
4
STEP 4 : Iterate and improve
Use insights to modify your prompts or business rules in Swiftask. Measure the impact of changes immediately.
Key analytics features
A holistic vision crossing technical LLM data and business workflow outcomes.
- Target connector: The agent performs the right actions in orq.ai based on event context.
- Automated actions: Real-time interaction tracking. Latency and cost analysis. AI response quality evaluation. Performance anomaly alerting. Performance history for benchmarking.
- Native governance: All data is secured and processed in accordance with the compliance standards of both platforms.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-orq.ai@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 pair Swiftask and Orq.ai
Data-driven decisions
Stop guessing, start measuring. Every change made to your agents is validated by concrete metrics.
Operational cost reduction
Identify costly or inefficient agents and optimize their configuration for better performance.
Enhanced user experience
Higher response accuracy and reduced latency ensure superior user satisfaction.
Reinforced agility
The short feedback cycle allows you to adapt your agents to real market needs in real time.
Compliance and audit
Keep a record of all past performances for your internal audits and compliance reports.
Performance data security
Swiftask applies enterprise-grade security standards for your orq.ai automations.
- Data encryption: Data transiting between Swiftask and Orq.ai is encrypted end-to-end.
- Environment isolation: Your production and staging data are isolated to ensure analysis integrity.
- GDPR compliance: The integration complies with the strictest data protection standards for your B2B analytics.
- Access control: Only authorized users in your workspace can access performance dashboards.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance indicators tracked
| Metric | Before | After |
|---|---|---|
| Average latency | Not measured | Monitored in milliseconds |
| Accuracy rate | Subjective | Quantified via Orq.ai |
| Cost per request | Unknown | Calculated automatically |
| Optimization cycle | Weeks (manual testing) | Days (data-driven testing) |
Take action with orq.ai
Make data-driven decisions to improve the relevance and ROI of your automations.