Pricing

Automate your AI workflows: Swiftask meets Orq.ai

Combine Orq.ai's advanced prompt management with Swiftask's no-code orchestration to build high-performance autonomous agents.

Result:

Deploy complex AI solutions without coding, while maintaining full control over response quality.

Complex AI deployments slow down your innovation

Managing prompts at scale and orchestrating AI agents usually requires heavy engineering resources. Business teams often find themselves blocked by technical bottlenecks.

Main negative impacts:

Dependency on IT resources: Every prompt update or logic change requires technical intervention, slowing down your iteration cycles.
Fragmented AI management: Using disparate tools for prompt management and workflow execution creates data silos and difficult governance.
Lack of operational agility: Facing rapid model evolution, your rigid infrastructure doesn't allow you to adjust processes in real-time.

Swiftask and Orq.ai unite to provide a unified platform. Manage your prompts in Orq.ai and trigger them automatically via Swiftask, with zero code.

BEFORE / AFTER

What changes with Swiftask

Traditional approach

Developers code API calls, manage prompt versions manually in Git repos, and maintain complex scripts to link tools. Time-to-market is slow.

Swiftask + Orq.ai approach

You configure flows in Swiftask and point to your optimized prompts in Orq.ai. Integration is native: update a prompt in Orq.ai, and it's instantly updated in your Swiftask automations.

No-code deployment in 4 steps

STEP 1 : Centralize prompts in Orq.ai

Use the Orq.ai Playground to design, test, and version your prompts with precision.

STEP 2 : Initialize your agent in Swiftask

Create a new agent in the Swiftask interface dedicated to your business tasks.

STEP 3 : Connect Orq.ai via Swiftask integration

Select Orq.ai as the skill provider and link your saved prompts to your agent.

STEP 4 : Configure your triggers

Define the events (webhooks, schedules, interactions) that will launch your prompt execution.

Power, execution, and control

The integration allows injecting dynamic data into your Orq.ai prompts directly from Swiftask variables.

Target connector: The agent performs the right actions in orq.ai based on event context.
Automated actions: Versioned prompt execution. Model A/B testing. Execution log analysis. Automation based on external triggers (CRM, email, etc.).
Native governance: All calls are monitored to ensure compliance and performance.

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.

Strategic integration benefits

1. Rapid iteration

Modify your prompts in Orq.ai and see the result immediately in your Swiftask workflows.

2. Unified governance

Track the usage of every prompt and agent performance within a single interface.

3. Effortless scalability

Move from prototype to large-scale automation without changing your architecture.

4. Controlled quality

Ensure consistent responses through strict prompt versioning in Orq.ai.

5. Business autonomy

Operational teams take control of workflows without waiting for developers.

Secure infrastructure

Swiftask applies enterprise-grade security standards for your orq.ai automations.

Robust authentication: Secure connection via API Keys with granular access rights management.
Data isolation: Each Swiftask workspace is isolated, ensuring prompt confidentiality.
Full audit trail: Execution history accessible for performance analysis and compliance.

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

RESULTS

Performance metrics

Metric	Before	After
Deployment time	Several days	A few minutes
Maintenance cost	High (DevOps required)	Low (No-code)
Iteration speed	Weekly cycles	Real-time

Take action with orq.ai

Deploy complex AI solutions without coding, while maintaining full control over response quality.