Impact & results
- -70%
- Manual work reduction
- -60%
- Workflow execution time
- +80%
- Automation coverage
At a glance
“A centralized AI automation platform to design, run, and monitor workflows with built-in AI steps.”
The challenge
Scattered automation tools with no single source of truth.
Workflows were built manually across multiple disconnected apps. Integrations, approvals, notifications, and data sync all lived in different places, causing duplicate work and inconsistent execution with limited visibility.
What we built
Everything inside this engagement.
Workflow Builder & Nodes
- Drag-and-drop flow design with triggers, actions, and conditions
- Delays and reusable templates
- Multi-tenant architecture for scale
Triggers & Connectors
- Event-based automation: app events, schedules, webhooks
- Secure signature validation
- Pluggable integrations with encrypted credential storage
AI Steps & Execution
- AI-powered text generation, classification, and routing
- Job queues, retries, timeouts, and deduplication
- Status tracking for every run
Monitoring & Access
- Detailed run history and searchable audit logs
- Role-based access and workspace permissions
- Performance metrics and usage reporting
Gallery
Inside the product.
Build & infrastructure
The stack behind it.
Our approach
We built a centralized platform that lets teams design, run, and monitor workflows in one place: drag-and-drop flow design, event-driven triggers, pluggable connectors, and AI-powered steps for classification, extraction, and routing, all on a scalable multi-tenant architecture.
The result
Teams now automate operations without stitching together multiple systems, with real-time execution logs, reliable scheduling, and a 70% cut in manual work.
Next
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Workflow Automation
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