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Platform overview

A Governance Platform for Your Automation Estate

meghIQ lets enterprises discover, govern, and evidence AI-driven automations across disparate SaaS, cloud, and hybrid stacks.

meghIQ/ Automation control room
LIVE METRICSIllustrative sample
Automations in viewInventory
04Across the sample inventory
Require reviewAction Needed
02Ownership & data handling
Connected platformsOAuth Active
03Zapier · Power Automate · GitHub
Recorded eventsHMAC Chained
11Linked to four sample records
Zapier14.2k runs/mo▶Power Automate4.8k runs/mo⑂GitHub Actions1.2k runs/moCentral InventoryAutomation MeshConnected Context · 0 drift● 3 Active Source ConnectorsOAuth VerifiedInventory Attestation #INV-924Owner: Sarah M. (RevOps)Ready for Examination
Source PlatformAutomation ContextReview Record
01 / Discover

One connected view.

Bring source platforms, automation ownership, and dependencies into the same conversation.

  1. Source detected
  2. Owner attributed
  3. Dependency mapped
Sample workflow · No live tenant data
Change → accountability → evidenceAP-1048 / Lead routing sync · Illustrative record
  1. 09:41:12Owner reassigned
  2. Revenue operationsOwnership recorded
  3. Review requiredPolicy review pending
A DIFFERENT LENS ON AUTOMATION

The workflow is only
part of the story.

Look beyond execution. Examine the relationships, decisions, and evidence around it.

The question behind meghIQ

Automation spans teams.
Accountability should, too.

A workflow can belong to one team, run on another platform, and affect data elsewhere. meghIQ examines those connections at the level of the individual automation.

Explore the platform
Automation oversight

Every change has a context.

Ownership. Policy. Execution. Evidence.

Automation reviewInventory
Sample workspace

Automation inventory

4 illustrative records
4 of 4 recordsIllustrative data · No live connection
Resource-level evidence

Review the change alongside its owner, affected resource, and recorded sequence.

Inside meghIQ

From a discovered automation
to a reviewable decision.

Four perspectives on the same operational challenge. Recorded in the sample environment.

meghIQ / DiscoveryRecorded sample
An inventory with ownership.
Built into the review

Control follows
the record.

Platform scope
Evidence continuityAudit chains & signing keys

Linked audit records and versioned HMAC signing keys preserve the context needed to examine recorded actions as keys change.

Review capability
Privacy controlsEncrypted fields & rights workflows

Encrypted identity fields, companion lookup hashes, and export and erasure workflows bring privacy handling into the review process.

Review capability
Agent accountabilityRegistry & lifecycle

An agent registry makes ownership and operational state available for review alongside the automations an organization depends on.

Review capability
Cryptographic mechanism

An audit record you can check, not one you have to trust.

Every change is hash-chained to the one before it and signed. Alter a field and the recomputation stops matching — try it below, with real SHA-256 running in your browser.

Cryptographic Proof Surface

Why the record holds

Real SHA-256 computed in your browser via Web Crypto. Modify a field in the database, and the recomputation breaks the mathematical chain.

    Computing chain…

    One field changed on entry 2 and every hash after it stops matching — which is the point. An attacker with full write access to the database still cannot rewrite history without the signing key, because the recomputation does not depend on trusting the database.

    Core capabilities

    Capability Areas

    The capability areas the platform addresses: discovery, governance, encrypted ownership lookup, AI agent inventory, and tamper-evident oversight.

    Automation Discovery

    Automatically discover and catalog all automations across your enterprise, including hidden and undocumented workflows.

    Real-time Analytics

    Comprehensive dashboards and KPIs to monitor automation health, performance, and ROI across your entire ecosystem.

    Evidence Governance

    Tamper-evident audit chains, HMAC signatures, resource mutation hooks, and compliance remediation events are now part of the backend control surface.

    AI-Powered Insights

    Unique features like Automation DNA Profiling, Health Scoring, and Lifecycle Prediction powered by advanced AI.

    Optimization Engine

    Designed to surface duplicate automations and consolidation candidates, with modeled savings attached to each candidate.

    Privacy-Safe Ownership

    Encrypted identity fields and lookup hashes preserve sensitive owner data while still supporting governance workflows.

    Cryptographic integrity

    Immutable Trust & Verification

    Compliance events, audit trails, and automation lineage records are cryptographically anchored for tamper-proof governance.

    Immutable Audit Trails

    Every compliance check, violation, and remediation is recorded with cryptographic HMAC proofs.

    TX: 0x1A2B3C...Verified

    Provenance Tracking

    Automation DNA profiles and version history are stored for verifiable lineage and authenticity.

    DNA Hash: 0x4D5E6F...On-Chain

    Regulatory Compliance

    GDPR, HIPAA, and SOX compliance review events are independently verifiable by auditors.

    Ledger VerifiedPublic
    Intelligence analysis

    How Automation Intelligence Works

    DNA profiling, health scoring, and predictive diagnostics that transform how you understand complex automation behavior.

    Automation DNA Profiling

    Analyze automation patterns to predict failures before they occur and recommend optimal architectures that prevent costly downtime.

    Dependency Risk Graph

    Map complex automation dependencies and surface high-blast-radius relationships before they trigger cascading failures across your ecosystem.

    Version History & Forecast

    Navigate through automation history, compare versions side-by-side, and preserve evidence around state changes that may create regression risk.

    Health Score & Diagnostics

    Continuous health monitoring with AI-powered diagnosis and automated remediation plans that keep automations running at peak performance.

    Influence & Blast-Radius Scoring

    Measure automation impact and identify high-influence workflows that could cause widespread disruption if they fail.

    Behavioral Classification

    Classify automation behaviors and match compatible workflows to optimize performance and reduce conflict-driven failures.

    Template Library (planned)

    Planned: a library of automation templates with reliability scoring. Not yet released.

    Lifecycle Predictor

    Forecast automation obsolescence and proactively suggest migration strategies before legacy systems become critical liabilities.

    Conflict Resolution Engine

    Automatically detect and resolve automation conflicts in real-time, preventing data corruption and workflow disruptions.

    Lineage Tracking

    Trace automation lineage through generations to identify inherited vulnerabilities and prevent systemic failures from propagating.

    Ecosystem coverage

    Planned Integrations

    The prototype is designed to integrate across automation platforms and cloud functions.

    Zapier
    Microsoft Power Automate
    GitHub Actions
    AWS Lambda
    Azure Functions
    Jenkins
    Slack
    Microsoft Teams
    Email (SMTP)
    Custom APIs
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    meghIQ is shared with pilot customers evaluating how to govern AI-driven automations. No fees, no commercial obligations.