AI Adoption Score vs Larridin

Larridin (larridin.com) measures AI from the work itself: a browser extension and a desktop agent record which apps people use, AI tools included, and it reads AI spend from your invoices and engineering output from your repositories. AI Adoption Score asks people how well they use AI and what holds back the ones who don't, with nothing to install. Here's how to choose, and when to use both.

Last checked: October 15, 2026

Side by side

Question	AI Adoption Score	Larridin
What it measures	How people adopt AI: a level for every person and team across usage, skills, impact, culture and vision (opens in a new tab)	AI adoption, fluency, impact and spend across the company: who uses which AI tools, how well, the hours AI returns in each workflow, and the return on AI spend; plus engineering output and coding agents^{1, 2, 3, 6}
AI tools covered	Any: Copilot, ChatGPT, Claude, Gemini, Cursor, and tools people pay for themselves	AI tools used on computers, approved or not, plus AI coding tools such as Cursor, Claude Code and GitHub Copilot^{2, 4}
Where the data comes from	Surveys and short quizzes that people answer	A browser extension and a desktop agent that record which apps are active, in what order and for how long; plus AI invoices, code repositories and, for engineers, quarterly surveys^{1, 4, 9}
What you install	Nothing: no extension, no agent, no admin access	The extension and agent on employees' computers, for the apps admins enable, plus connections to your identity, spend and code systems; the first report within two weeks^{1, 4, 10}
Why people don't use AI	18 barriers, each with who can fix it: IT, leadership, managers or training (opens in a new tab)	Usage segments with what each needs, such as awareness for people who rarely use AI; it asks engineers about barriers in surveys, and observes everyone else^{1, 3, 9}
AI skills	Who can do what with 125 AI tools and models, and quizzes that score n8n and Claude skills (opens in a new tab)	Fluency scored from usage: how often and how deeply people use AI, and what for, compared by team^{3, 4}
Attitudes	AI anxiety on a validated research scale, plus culture and vision in the 360° (opens in a new tab)	For engineers, survey questions such as whether AI tools save them time; it observes everyone else^{1, 9}
Levels	L1 Observer to L5 Native for every person, team and the organization	Four usage segments, from Observers to Power Users; its proficiency guide adds five levels, from Search Replacer to AI-Native Orchestrator^{3, 11}
Benchmarks	None from other companies yet	Published reports from its customers' data, such as AI coding spend per engineer⁷
Privacy	Named or anonymous, set per survey; results from the first answer, with no minimum group size	The extension reads AI pages on the computer, prompts and replies included, and sends only the signals it derives; team views by default, views of one person off unless an admin turns them on; coding-agent transcripts only if enabled^{1, 12, 13}
Security	No access to your systems; no SOC 2 or ISO certification yet	SOC 2 Type 2, SOC 3, HIPAA and GDPR, per its Trust Center; on-premises hardware for highly regulated companies^{4, 8}
Price	Free plan; paid plans on request	From $25,000 a year on an annual contract, priced on usage and seats^{5, 14}

Where Larridin is stronger

Measured, not reported. It records AI use on every computer it's installed on, including AI tools nobody approved. We only know what people tell us, with checks.^{2, 4}
AI in money. It prices AI spend from your invoices, estimates the hours AI returns in each workflow, and reports the return on that spend. We don't measure spend or return in dollars.¹
Governance. It keeps an inventory of the AI tools in use, approved or not, and lets you set and enforce a policy for each.²
Engineering output. It reads your repositories, tells AI-written code from human code and tracks coding agents. We don't read code.^{4, 6}
Published data. Regular reports from its customers' data, such as what engineers spend on AI each week. We have no cross-company data yet.⁷
Certifications. SOC 2 Type 2, SOC 3 and HIPAA, per its Trust Center. We have none yet.⁸

How we differ

We ask everyone why. Larridin's own developer page says usage data can't show what holds adoption back, so it surveys engineers. Everyone else, it observes. We ask every role: AI Adoption Barriers (opens in a new tab) names 18 barriers and who can fix each one, the AI Anxiety Scale (opens in a new tab) measures worries on a published research scale, and the 360° (opens in a new tab) adds culture and vision to usage and skills.^{1, 9}

Nothing to install. No extension or agent goes on anyone's computer, and nothing records what people do: they choose to answer. There's no endpoint software for your security team to review.

Free to start. A free plan you can start without a sales call. Larridin starts at $25,000 a year.⁵

Questions

Are Larridin's segments and levels the same as yours?

No, though some names match. Larridin sorts people by how they use AI tools: its Observers have access but rarely use AI, and its proficiency guide's five levels run from Search Replacer to AI-Native Orchestrator. Our five levels, L1 Observer to L5 Native, come from people's answers about usage, skills, impact, culture and vision.^{3, 11}

Larridin says surveys record what people remember saving. Why use one?

For hours saved, observed data is more precise than memory; the 360° asks people for their own estimate. But activity data can't show why someone doesn't use AI or what worries them; Larridin itself surveys engineers to find out. Our surveys ask every role. Larridin also says surveys get low response rates; here's how we get people to answer (opens in a new tab).^{1, 4, 9}

Do you need to install anything?

No. People answer surveys and quizzes in the browser, and nothing is connected to your systems. More in Security and privacy (opens in a new tab).

Sources

See where your people stand on AI.

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