We’re testing an enhanced version of Chat with Ardoq that can interpret light, privacy-safe context from your current workspace. The goal is to make the assistant more aware, more relevant, and more useful as you model, analyze, and collaborate.

What we're exploring

• Screen awareness (privacy-safe): Letting the assistant understand the type of view, object, or workspace you’re in to tailor its responses.
• Smarter suggestions: Nudges and next-step prompts based on what you’re working on, without taking action automatically.
• Guided workflows: Step-by-step help for creating, updating, or analyzing architecture elements.
• Faster navigation: Reducing clicks and helping users move through complex tasks more easily.

Status: Active Experiment

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We’re exploring a faster, more intuitive way to search architecture data. This experiment lets you describe what you’re looking for in plain English, and Ardoq automatically translates it into Gremlin queries or advanced search logic.

Why it matters

• No more memorizing Gremlin syntax
• Complex graph queries become accessible to everyone
• Speeds up impact analysis, dependency mapping, and what-if scenarios

Natural Language to Advanced search is the first spinout initiative from our NL to GREMLIN experiment and we will release it in beta during the coming weeks.

Status: Active Experiment

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The newest Labs experiment focuses on improving architecture data quality automatically, using AI to validate, detect gaps, and propose fixes.

Goals:

• Identify missing relationships, incomplete attribute fields, or structural issues
• Suggest corrections grounded in your metamodel
• Help new or maturing EA teams maintain reliable, analysis-ready data
• Reduce time spent on manual data cleanup

This agent represents a foundational step toward automated governance and trustworthy AI-driven EA.

Status: Just Starting

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