AI-powered error diagnosis
When a run fails, the AI analyzes the error and surfaces root cause and a suggested fix on the result screen itself.
Artificial Intelligence
Two AI fronts that change how you automate
Inside Proton, AI analyzes executions, diagnoses failures and creates automations. Soon, you'll also connect your own AI assistant (Copilot, Claude Code, Codex) to Proton via MCP to accelerate script development.
Artificial Intelligence
AI that understands your automations
Proton goes beyond execution. The AI embedded in the platform analyzes patterns, diagnoses failures and generates automations so your team can focus on building, not debugging.
Automation Health Score
Proton continuously analyzes the health of your automations and assigns a score (Excellent → Critical) based on execution trends, recurring failures and coverage.
Error Diagnosis
When an automation fails, the AI analyzes error logs, identifies the root cause and suggests precise fixes, without you having to comb through hundreds of lines of stack trace.
Natural Language Creation
Describe in natural language what you need to automate and Proton creates the structured automation group for you, with parameters and configurations ready.
MCP for your AI assistant
Coming soonConnect GitHub Copilot, Claude Code or Codex to Proton's services via Model Context Protocol and develop scripts straight from your IDE. You bring the assistant, Proton provides the MCP.
AI Insights: Health Analysis
ExcellentScore 94
AI-generated analysis • Aug 14, 2026
Average approval rate of 94.2% in the last 30 days, above the historical baseline of 91%.
"API Validation" group shows a downward trend in the last 3 executions. Investigate timeout parameters.
3 automations without execution in the last 15 days. Consider reviewing relevance or removing from active cycle.
Error Diagnosis by AI
FailedConnectionError: timeout after 30000ms on GET /api/v2/datasets/batch
at ProtonRunner.execute (runner.js:482)
... 14 more lines
at ProtonRunner.execute (runner.js:482)
... 14 more lines
AI Analysis
Root cause
The /datasets/batch endpoint is exceeding the configured timeout. Consistent pattern with loads above 500 records.
Suggestion
Increase timeout to 60s or implement pagination in the call. Check indexes on the datasets table.
AI in action
See how AI shows up inside Proton
Two real flows from the platform, recorded straight from the application.
Conversational assistant
A chat embedded in Proton where you ask, in plain language, for help with the automations in your workspace.
Script developmentComing soon
Why use low-code if AI can generate the code for you?
Code-based scripts always had power and flexibility, but required a more technical team. With today's AI assistants, that barrier has fallen. Proton MCP connects those assistants directly to the platform's services.
The low-code ceiling
Complex logic turns into hacks, finding bugs gets hard and you're locked into the tool's closed format.
Code without the barrier
With GitHub Copilot, Claude Code and Codex, any QA engineer writes scripts in minutes.
Connected to Proton
The MCP lets assistants create automations, query results and adjust parameters straight from your IDE.
You bring the assistant. Proton provides the MCP.
Proton does not provide or license LLMs. You use the AI assistant you already have (and pay your provider for it). Proton ships only the MCP server that connects that assistant to the platform's services.
Compatible with
GitHub Copilot
MCP support via VS Code.
Claude Code
Anthropic CLI with native MCP.
Codex
OpenAI assistant with MCP support.
Additional agent support as the MCP ecosystem evolves.
Get Started
Ready to transform your automation?
Discover how Proton can centralize, accelerate and scale your automations. Talk to our team and see the platform in action with your real context.
- Personalized demo with your scenario
- Setup assisted by the team
- Dedicated onboarding support