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Floyd Smith
by Floyd Smith
on Apr 7, 2026

Unsanctioned, “shadow” AI isn’t a security failure; it’s a visibility failure. And it carries even more risk, but also offers more opportunity, than most enterprises realize. TL;DR / Quick Definition ...

Floyd Smith
by Floyd Smith
on Apr 1, 2026

AI transformation is the strategic process of building AI around what makes your organization irreplaceable — not around what makes your vendor profitable. See the AI Transformation Guide for the ...

Madhu Chamarty
by Madhu Chamarty
on Mar 31, 2026

Larridin is happy to announce the mid-March 2026 release of the Larridin software platform. Larridin enables measurement and management for AI adoption, user fluency with AI, and AI impact ...

Larridin
by Larridin
on Jan 29, 2026

Key Takeaway Adoption measures access. Proficiency measures capability. Organizations celebrate 60% adoption rates while missing the critical question: How effectively are employees actually using ...

Larridin
by Larridin
on Jan 29, 2026

Key Takeaway Without AI usage data, organizations make decisions blind: expanding wrong tools, missing adoption barriers, and funding experiments with zero accountability. Enterprise AI spending will ...

Recent Blog

A businessman faces chaotic cables and documents on one side and organized AI success elements on the other.
AI Impact

AI Cost Savings Are Real. The Business Case for Them Is Still Broken.

Two cars labeled AI Leader and AI Laggard drive on separate futuristic roads, with the leader on a smooth, fast track.
AI Maturity

AI Maturity Is Not Where You Are. It’s How Fast You’re Getting Better.

Executives in a meeting room discuss a presentation on board expectations for AI evidence by 2026.
AI Impact

Your Board Has Moved From AI Curiosity to AI Expectation

A businesswoman presents an AI business case to colleagues, highlighting impact and implementation strategies on a screen.
Token & Spend Insights

The AI Business Case That Survives CFO Scrutiny

Two contrasting city skylines illustrate the growing advantage gap between AI leaders and laggards.
Proficiency & Maturity

The AI Performance Gap Is Not Pausing While You Catch Up

A crowd faces AI ambition displays across a gap from a lone figure confronting a Data Reality wall of data issues.
AI Transformation

You Don’t Need Perfect Data to Start Measuring AI

Developer Productivity

Your Engineering Metrics Are Hiding What AI Is Actually Doing

A person observes a scale balancing code metrics against business value indicators in a cityscape setting.
Developer Productivity

Your Engineers Are Shipping More Code. That's Not the Same as More Value.

Comparison of two office teams: one using AI tools alongside traditional work, the other collaborating creatively with AI.
AI Adoption

AI Adoption and AI Transformation Are Not the Same Thing

MCP Servers Explained: How AI Agents Connect to Enterprise Data

AI in Consulting: Table Stakes, Token Costs, and the Race to Prove Value

Why AI-Free Skills Are Becoming a Critical Hiring Signal

Multi-Agent Workflows Are Scaling Fast. Is Your Visibility Keeping Up?

AI Adoption

Stop Blaming the Model: Why AI Agents Stall in Knowledge Work

AI Adoption

Your Employees Are Using AI. They Just Don’t Trust It.

AI Measure & Monitor

Zombie Agents Are Living in Your Tech Stack

Token & Spend Insights

2027 AI Budget Planning: What to Do When the Numbers Keep Changing

Large hourglass illustrating AI's impact on the workforce, with expanding demand for high-value and frontline roles while middle-skill jobs compress.
AI Transformation

The Hourglass Workforce Is Coming. Is Your Org Chart Ready?

Business leaders shifting AI success metrics from operational efficiency to revenue growth, profitability, and measurable enterprise value.
AI Transformation

Why “Saves 4 Hours a Week” No Longer Wins an AI Budget

Enterprise AI ecosystem with dozens of disconnected AI applications illustrating AI sprawl, shadow IT, governance risks, and fragmented visibility.
AI Governance

AI Sprawl Is the New Shadow IT

Illustration of AI adoption accelerating faster than governance controls, creating a widening enterprise governance gap and increased organizational risk.

Your AI Adoption Has Outrun Your Governance. Here Is What to Do.

CIO reviewing an enterprise technology ecosystem with business-owned AI tools, shadow IT, SaaS sprawl, and governance challenges.
Managing AI ROI, Impact and Risk

The CIO AI Control Gap That No One Wants to Talk About

Continuous AI measurement framework showing dashboards, KPIs, and an ongoing cycle of monitoring, optimization, and business impact.
AI Measure & Monitor

AI Measurement Is Not a Project. It Is a Platform

Executive leadership team debating AI accountability as responsibility for AI outcomes falls between IT, legal, risk, and business teams.
Managing AI ROI, Impact and Risk

No One Owns Your AI Outcomes. Here Is What That Costs.

Business leader comparing vanity AI metrics with business outcome metrics such as revenue, cost savings, and customer impact.
AI Measure & Monitor

You’re Measuring AI Activity. You Should Be Measuring AI Impact.

Chief Operating Officer leading an AI strategy discussion with dashboards illustrating enterprise AI ownership, governance, and operational transformation.
AI Impact

The COO Is Now on the Hook for AI Value. Is Yours Ready?

Executive team reviewing a chart showing AI skill demand rising much faster than corporate training budgets, highlighting the enterprise AI skills gap.
AI Proficiency

Your AI Training Budget Has a Targeting Problem

Business leaders evaluating AI tools based on ROI, adoption, business impact, and strategic value during an enterprise budget review.
Managing AI ROI, Impact and Risk

How to Decide Which AI Tools Survive Your Budget Review

Finance dashboard missing numerous employee AI software subscriptions, illustrating hidden AI spending and untracked software costs.
Managing AI ROI, Impact and Risk

Why Finance Has No Idea What AI Is Really Costing You

Office overwhelmed with overlapping AI software subscriptions, illustrating AI tool sprawl, duplicate spending, and wasted software budget.
AI Measure & Monitor

How AI Tool Sprawl Is Draining Your Tech Budget

CIO and CFO discussing technology investments and business priorities, illustrating the alignment gap between IT strategy and financial objectives.
AI Adoption

Why CIO and CFO Cannot Agree on AI Accountability

Diagram showing agentic AI workloads running across cloud, on-premises, edge, devices, and data center environments.
AI Proficiency

AI Agents Are Operating in Your Business Right Now

Business teams with varying levels of AI skills, highlighting the hidden organizational AI proficiency gap and the need for measurement.
Developer Productivity

The AI Productivity Gap Nobody Is Measuring

Employees across marketing, finance, HR, and sales using unapproved AI tools outside IT governance, illustrating Shadow AI risks.
Managing AI ROI, Impact and Risk

Shadow AI Has Outgrown Your IT Department

Corporate board meeting reviewing AI governance policies, risk management, compliance, and audit readiness in a modern boardroom.
AI Governance

Is Your AI Governance Board-Ready?

Illustration of an AI budget burning out of control with rising software costs, wasted spending, and a dashboard showing escalating AI expenses.
Token & Spend Insights

Why Your AI Budget Is Out of Control

Illustration showing one high-cost AI agent consuming the majority of an organization's AI budget while other agents receive minimal resources.
AI Usage

How a Single AI Agent Can Blow Your Entire AI Budget

Engineering

How to Use GLM-5.2 in Claude Code and Cut Costs by Up to 50%

Illustration of balancing blocks and a lever representing engineering workflow bottlenecks
Engineering

Where AI Coding Tools Move the Engineering Bottleneck

Dashboard-style illustration representing AI code quality measurement
Engineering

Developer Intelligence: What Is the AI Slop Index?

The Complete Guide to AI Workflow Mapping

Automated vs Manual Process Mapping: Which Is Right for Your Organization?

Tools That Document How AI Is Changing Your Internal Processes

Step-by-Step: Building an AI Workflow Map From Scratch

AI Process Mapping vs. Traditional BPM: The Real Difference

AI Measure & Monitor

AI Workflow Mapping 101: Visualize and Optimize Every Business Process

Token & Spend Insights

Token Capital Is Now on the Balance Sheet. Do You Know What Yours Is Worth?

AI Governance

Introducing Token Spend & Insights: Finally Track and Consolidate All Your AI Spend — and Attribute It to Agents and Use Cases

AI Impact

Tope Iluyomade: Stop Counting Licenses. Start Counting Outcomes.

AI Governance

Most TokenMaxxing Is Unproductive

AI Impact: Transcript

Mike Giresi: Running AI Inside the Company That Powers the AI Boom

AI Impact: Transcript

Bask Iyer Tells CIOs and CTOs: Mind the Accountability Gap

AI Impact: Transcript

Karl Mosgofian on the AI Risks Most CIOs Are Missing

AI Impact: Transcript

Rubrik's CIO on AI: “I’m Not Thinking About Risk Anymore”

Developer Productivity

The CTO's Playbook for Managing AI Coding Spend

Process mining feedback from Larridin's workflow analytics.
AI Workflows

The Third Act: Workflows

AI Impact: Transcript

ClickUp CFO: "Now You Can Boil the Ocean, with AI"

Rationalizing AI Tools and “Shadow” AI

Linear and Larridin partnership logo

Larridin + Linear: Developer Productivity Intelligence, Right Where You Plan

Larridin Blog

What Is "Shadow" AI?

Larridin Blog

What Is AI Transformation?

Larridin Blog

Larridin Release Update Mid-March 2026

Media Coverage

Unsanctioned, "Shadow" AI a Growing Risk: Blackfog

What You Do When You Measure AI Adoption

Compliance Crackdown on AI and BYOD - InformationWeek Podcast

Engineering Hero
Persona Pages

AI Monitoring for Engineering Leaders: Measure Whether AI Is Actually Accelerating Your Team

CHRO Hero
Persona Pages

AI Monitoring for CHROs: Measure Workforce AI Readiness Beyond Training Completion

CISO Hero
Persona Pages

AI Monitoring for CISOs: Governance Visibility Before the Audit Asks

CIO Hero
Persona Pages

AI Monitoring for CIOs: Independent Visibility Across Your Entire AI Stack

AI Impact

Creating an ROI Framework for AI Impact, Featuring Microsoft Copilot

AI Adoption

What is AI Governance?

Board Drectors' AI Risk
Managing AI ROI, Impact and Risk

Building an AI ROI Framework That Actually Works

AI Proficiency

What Is AI Proficiency?

AI Measure & Monitor

Enterprise AI Adoption in 2026: Measurement Framework & Guide

Persona Pages

AI Monitoring for CFOs: Turn Untracked Spend Into Measurable ROI

Persona Pages

AI Monitoring for CAIOs: Independent Evaluation & Optimization

Managing AI ROI, Impact and Risk

Data Loss Prevention Through AI Usage Analytics: Protect Your Business with AI Usage Data

Proficiency & Maturity

Accelerating Responsible AI Adoption: The Measurement-First Playbook for Heads of AI

AI Strategy

What is the AI Adoption Workbook?

AI Measure & Monitor

Adoption vs Impact: Why Engagement Metrics Don't Tell the Whole Story

Proficiency & Maturity

Measuring AI Maturity: From Pilots to Performance at Scale

AI Token Management & Prompt Optimization

From Shadow AI to Strategy: Building an AI Governance Framework

AI Token Management & Prompt Optimization

Are You Over or Under Licensed? The Case for AI Use Tracking

Data-Driven Insights: Turning AI Analytics Into Action

Proficiency & Maturity

Creating an AI-Ready Workforce: From Strategy to Execution

AI Measure & Monitor

Building an AI Usage Dashboard That Drives Action

AI Measure & Monitor

How AI Monitoring Reveals the Hidden Tools Threatening Your Enterprise

AI Measure & Monitor

What is AI Adoption?

AI Measure & Monitor

AI Measurement Frameworks: Building a Repeatable Assessment Process

AI Usage

AI Usage and Token Consumption Visibility: How CFOs Control Unpredictable AI Spending

Managing AI ROI, Impact and Risk

The AI ROI Measurement Framework: From Vibe-Based Spending to Measurable Business Value

Larridin Blog

The AI Proficiency Maturity Model: From Beginners to Power Users

Larridin Blog

The Complete Guide to Enterprise AI Usage Data and Adoption Analytics

Why Enterprise AI Is Failing—And The Tactical Playbook to Fix It

Enterprise AI Governance Dashboard
Managing AI ROI, Impact and Risk

Build Strategic AI Policy Management Frameworks That Drive Competitive Advantage

AI Native ENG Teams
Proficiency & Maturity

Assessing Workforce AI Proficiency: How to Measure AI Readiness and Build Competitive Advantage

AI Measure & Monitor
AI Measure & Monitor

AI Adoption Analytics: Understanding Who's Using What (and Why It Matters)

AI Strategy

Navigating the AI Frontier: Why ISO 42001 Needs Independent Measurement

AI Native ENG Teams
Engineering

Building AI-Native Engineering Teams: From Coding to Verification

The Hidden Cost of AI Adoption: AI Technical Debt
AI Strategy

The Hidden Cost of AI Adoption: AI Technical Debt

Board Drectors' AI Risk
AI Governance

AI in the Boardroom: What Directors Don't Know Could Cost Them Everything

The State of Enterprise AI in 2025: From Experimentation to Accountability
AI Strategy

The State of Enterprise AI in 2025: From Experimentation to Accountability

AI Strategy

The Board's Blind Spot: Why the AI Oversight Questions Now Demand Measurement

AI Strategy

Enterprise-Ready AI Impact Measurement Platform: Why SOC2, HIPAA, and GDPR Matter

AI Proficiency

You're Not Measuring AI — Here's How To Start

Product

OpenAI’s Agent Builder is a Huge Step Forward. Here’s Why We Need to Go Further

AI Strategy

From AI Chaos to Competitive Advantage: Why Every Company Needs Infrastructure to Democratize Innovation

Media

The $644 Billion Blind Spot: Enterprise AI Reaches Its Measurement Moment

AI Boardroom
AI Strategy

The Shadow AI Blind Spot: Closing the Boardroom-Usage Gap

AI Strategy

The Emperor’s New Algorithms: Why Enterprise AI ROI is a Disaster

PR

The Future of Work: Optimistic Vision, Unmeasured Reality

The John Henry Lesson: Why AI Augmentation Beats Competition

AI Governance

Fine-Tuning vs Frontier Models: Making the Right AI Investment

PR

Beyond Productivity: Why Organizational Fitness Matters in the Age of AI

The Larridin Story: Measuring AI Workforce Productivity

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