meghIQ is an independent research project exploring how enterprises can discover, govern, and evidence AI-driven automations across disparate SaaS, cloud, and hybrid stacks.
The latest backend work strengthens enterprise-grade governance: tamper-evident audit records, cryptographic key rotation, encrypted sensitive fields, GDPR rights workflows, resource mutation evidence, and an AI Agent Registry.
Gives enterprise reviewers a verifiable sequence of actions instead of a loose activity log that can be rewritten after the fact.
integrityLets the audit chain keep cryptographic continuity while keys evolve, which matters for long-lived regulated environments.
continuityProtects sensitive identity fields while preserving operational search and ownership lookup without exposing plaintext.
privacySupports export and erasure workflows so privacy review is part of the platform architecture, not a manual afterthought.
rights workflowTurns creates, updates, deletes, executions, toggles, acknowledgements, and remediations into reviewable tenant-scoped evidence.
change lineageCreates a controlled inventory for autonomous agents so organizations can study ownership, access, lifecycle, and operational state.
ownershipThe capability areas the research prototype is designed to address: discovery, governance, encrypted ownership lookup, AI agent inventory, and tamper-evident oversight.
Automatically discover and catalog all automations across your enterprise, including hidden and undocumented workflows.
Comprehensive dashboards and KPIs to monitor automation health, performance, and ROI across your entire ecosystem.
Tamper-evident audit chains, HMAC signatures, resource mutation hooks, and compliance remediation events are now part of the backend control surface.
Unique features like Automation DNA Profiling, Health Scoring, and Lifecycle Prediction powered by advanced AI.
Designed to surface duplicate automations and consolidation candidates, with modeled savings attached to each candidate.
Encrypted identity fields and lookup hashes preserve sensitive owner data while still supporting governance workflows.
Compliance events, audit trails, and automation lineage records are cryptographically anchored for tamper-proof governance.
Every compliance check, violation, and remediation is recorded with cryptographic HMAC proofs.
Automation DNA profiles and version history are stored for verifiable lineage and authenticity.
GDPR, HIPAA, and SOX compliance review events are independently verifiable by auditors.
DNA profiling, health scoring, and predictive diagnostics that transform how you understand complex automation behavior.
Analyze automation patterns to predict failures before they occur and recommend optimal architectures that prevent costly downtime.
Map complex automation dependencies and surface high-blast-radius relationships before they trigger cascading failures across your ecosystem.
Navigate through automation history, compare versions side-by-side, and preserve evidence around state changes that may create regression risk.
Continuous health monitoring with AI-powered diagnosis and automated remediation plans that keep automations running at peak performance.
Measure automation impact and identify high-influence workflows that could cause widespread disruption if they fail.
Classify automation behaviors and match compatible workflows to optimize performance and reduce conflict-driven failures.
Planned: a library of automation templates with reliability scoring. Not yet released.
Forecast automation obsolescence and proactively suggest migration strategies before legacy systems become critical liabilities.
Automatically detect and resolve automation conflicts in real-time, preventing data corruption and workflow disruptions.
Trace automation lineage through generations to identify inherited vulnerabilities and prevent systemic failures from propagating.
The prototype is designed to integrate across automation platforms and cloud functions.
meghIQ is shared with research collaborators evaluating how to govern AI-driven automations. No fees, no commercial obligations.