Adoption measurement
Measure how well teams use AI.
Discover the AI in your stack. Measure adoption depth and fluency by team and role. See where AI has become real working capability, not just licensed access.
Explore Adoption MeasurementThe measurement layer for enterprise AI
Prove AI's impact.
Across your human and agent workforce.
Larridin surfaces where AI is paying off, where it isn't, and what to do about it. Across every tool, team, and workflow.
Trusted by teams running AI at scale
The opportunity
AI is rewriting how your business works.
You're being asked to prove it.
The CFO is being asked for ROI. The CIO is being asked which tools to scale and which to cut. The CHRO is being asked whether the workforce is actually getting more capable. The COO is being asked which workflows have changed.
Each of them is holding a slice of the answer. Spend reports don't show outcomes. Adoption dashboards don't show capability. Procurement data doesn't show work. The board meeting is on Thursday.
Larridin connects the fragments into a single source of truth that every leader needs.
The platform
Every AI tool, every workflow, every dollar. Measured.
From the moment a tool lands in your stack to the moment it shows up in your P&L, Larridin gives every leader the live read they need.
Workflow optimization
See how work actually happens, and where AI can transform it.
Continuously map the workflows running your business. Surface where AI is already running, where it's stalling, and where the next automation opportunity sits.
Explore Workflow Optimization
Developer intelligence
Discover AI impact on engineering output.
Connect to GitHub, Jira, and your dev stack to measure what AI-augmented engineers are actually shipping. Velocity, quality, and ROI on every AI seat.
Explore Developer Intelligence
Spend intelligence
Know exactly where your AI budget goes.
Track every license, every model call, every token. Surface unused seats, model overspend, and recoverable budget with proof.
Explore Spend IntelligenceThe results
When you measure what AI is doing, this is what changes.
- 47%
- Average lift in measurable team output
- $2.4M
- Median AI spend optimized in year one
- 3×
- Faster time to AI fluency vs. internal programs
- 60 days
- From rollout to board-ready impact reporting
An answer for every seat at the table
Multiple Measurement Questions. Same Platform.
Customer story Enterprise SaaS
“From guessing to knowing across every team.”
- $1.2M
- AI spend reallocated
- +38%
- Power-user growth
- 60d
- To board-ready reporting
A fast-growing enterprise SaaS company had AI tools rolling out across product, engineering, customer success, and sales. The leadership team needed to know what was working, what wasn't, and where to double down, without slowing teams down.