Draft N Run - AI Back-Office for SaaS

Plug AI features into your SaaS in minutes with complete control

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Updated Jul 2026 · Added Jun 2026

draftnrun.com

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What is Draft N Run?

Draft'n run is a no-code platform for designing, deploying, and monitoring AI agents and workflows in SaaS applications. It provides a visual workflow builder, real-time testing, and enterprise-grade observability with complete transparency and zero vendor lock-in. Built for product teams to move fast with AI - deploy sophisticated agents in minutes with full compliance, cost control, and production-ready infrastructure.

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Key Features of Draft N Run

Visual Workflow Builder with drag-and-drop components
Real-time Testing and Interactive Sandbox
Enterprise-Grade Monitoring and Tracing
OpenTelemetry integration for detailed execution tracing
Token usage tracking and cost optimization
Performance analytics and bottleneck identification
Quality Assurance with test datasets and version comparison
REST APIs and integrations
Open-source platform for self-hosting
Versioned workflows with CI/CD for AI agents
Policy Center for governance and access control
Structured logging with correlation IDs
Custom metrics definition and real-time alerts

Who Should Use Draft N Run?

Building production-ready AI chatbots for customer support

Deploying AI agents for content discovery and navigation

Automating data analysis workflows with full observability

Testing and validating AI workflows before production

Monitoring AI feature costs and optimizing token usage

Implementing governed AI solutions across enterprise teams

Building conversational agents for chatbot applications

Creating reusable AI workflows for SaaS platforms

Draft N Run: Pros & Cons

✓Pros

Zero vendor lock-in with open-source platform
Self-host anywhere or use managed cloud with data ownership
No coding required for building complex workflows
Complete transparency and full visibility into AI operations
Production-ready from day one with enterprise-grade security
Rapid deployment - ship AI features in minutes, not months
Comprehensive cost tracking and optimization recommendations
Full data lineage tracking and detailed execution tracing
Governed sandboxes with clear approval workflows
Smooth handover from business teams to data teams

Frequently Asked Questions about Draft N Run

Can I self-host Draft'n Run or do I have to use the cloud version?

Draft'n Run is open-source, so you can self-host it anywhere you want. You also have the option to use their managed cloud, and in both cases you retain full data ownership. This gives you flexibility to meet your compliance and infrastructure requirements without being locked into a vendor.

Does Draft'n Run track token usage and show me the cost of running my AI agents?

Yes. Draft'n Run includes built-in token usage tracking and cost optimization features, with real-time cost visibility across your workflows. You can see exactly what you are spending on each agent and get recommendations to reduce token consumption.

What happens if I want to move my workflows to a different platform later?

Since Draft'n Run is open-source with zero vendor lock-in, you own your workflows and can export or migrate them without restriction. This is a core design principle of the platform, so you are not tied to their infrastructure if your needs change.

How do I monitor what my AI agents are doing in production?

Draft'n Run provides enterprise-grade observability through OpenTelemetry integration, structured logging with correlation IDs, and detailed execution tracing. You get full visibility into agent behavior, performance bottlenecks, and token consumption, plus the ability to set custom metrics and real-time alerts.