Define a team
The moment Larridin is deployed, org-level metrics surface automatically: how time is spent, which apps teams rely on, where AI is already present. Go deeper anytime — define a team, get the full map.
AI Workflow Intelligence
Your team is running hundreds of AI-touched workflows right now. Larridin tells you which are working, which are wasting time, and where to invest next, grounded in observed behavior, not vendor claims.
Book Discovery CallThe Opportunity
AI is permeating work at a scale and speed that has no historical precedent. Hundreds of workflows across your organization have already been touched, reshaped, and complicated by tools that moved faster than anyone could track them.
Complexity is compounding. Spend is compounding. And the gap between what is actually happening inside your organization and what leadership can see keeps widening, because deployment has outpaced understanding by years.
Larridin can give leadership a real-time system of record for AI work.
The Philosophy
A bad system will beat a good person every time.
Most organizations look for AI ROI in the wrong place. They measure tool adoption, seat utilization, individual proficiency. That's looking at the worker.
The system is where AI is either paying off or failing. The workflow. The handoffs. The friction between tools. Fix the system and performance follows.
A lightweight browser extension and desktop agent observe how work happens, not what people write, type, or view.
How It Works
The moment Larridin is deployed, org-level metrics surface automatically: how time is spent, which apps teams rely on, where AI is already present. Go deeper anytime — define a team, get the full map.
Within days, Larridin begins building a behavioral record of how work flows across your team. Nothing changes for employees. Everything changes for the leaders trying to understand what is happening.
Within weeks, you have something most organizations have never had: a complete, ranked picture of every workflow, where AI is helping and where it isn't — and the single highest-value thing to fix first.
What You Get
Every workflow your team runs, automatically detected and mapped: frequency, duration, and organizational cost. The complete picture of where time goes — across every team, updated continuously.
Every friction type identified by observed behavior: context switching, manual repetition, error recovery, authentication delays, waiting, search and discovery. Grounded in what people do, not what they report.
For every workflow, a verdict: AI Helps, AI Hurts, or Unclear. Derived from comparing AI-assisted runs against non-AI runs of the same workflow. Every tool ranked by the friction it adds, not just whether it is being used.
Automation opportunities ranked by estimated hours saved. The single most consequential action for the week. The highest-value investments, with the behavioral evidence behind each one.
Inside Workflow Intelligence
01 Workflows
Larridin discovers the workflows your team actually executes, including the AI-native workflows that never appeared in any process map. For each one: how often it runs, how long it takes, whether AI is helping or hurting, and the top outcome.
02 AI Impact
Drill into one workflow to see how it actually runs. Where time is being spent. What types of friction are accumulating. Which AI tools are involved and what their contribution looks like.
03 Apps Impact
Pick any AI tool in your stack. See exactly what it's doing inside the workflows it touches. The verdict, the friction signature, the side-by-side comparison against runs of the same workflow without the tool.
04 Recommendations
Ranked action items, generated from observed workflow patterns. Each one tagged with the action type, the workflow it targets, and the time it would recover if executed.
What Changes for Your Team






Who It's For
Employee Privacy
Start with two or three teams where the questions are sharpest.
Expand from there.
Larridin's browser extension and desktop agent observe how your team works: which tools they use, in what order, and for how long. Observation is automatic and continuous. Within a couple of weeks, observations become a live map of every workflow your team runs, where time is being lost, how AI tools are performing, and what to act on first. No surveys. No interviews. No behavior change required.
Which applications are active and for how long, when users switch between tools, the sequence and timing of tool transitions, and session patterns. Larridin never captures content; no documents, no emails, no keystrokes, no form inputs. Nothing typed, written, or viewed inside an application is ever collected.
Your security tools see which applications your team accesses. Larridin sees how those applications fit together into workflows: which steps, in what order, where time is lost, and whether AI tools are reducing friction or adding it. That workflow context is not visible at the network or packet level. Your security vendor sees the traffic. Larridin sees the work.
Larridin compares runs of a workflow where AI tools were present against runs of the same workflow where they were not. If AI-assisted runs complete faster and with less friction, the verdict is: AI Helps. If they take longer or create new overhead, the verdict is: AI Hurts. The finding is grounded in what actually happened, not what anyone reported or what a vendor claims.
Most customers have a usable baseline within two to three weeks of deployment. No process mapping sessions or consulting engagement are required before you start.
We recommend ownership sit with Operations, Finance, or IT. These teams are positioned to act on workflow and AI investment findings. HR's appropriate role is to help ensure that privacy and compliance requirements are met.
No. Larridin deploys through your existing enterprise device management infrastructure. It is zero-touch for employees, and most organizations are fully up and running within days. There are no new software categories to manage and no changes to how your team works.
Traditional approaches require interviews with some team members and reference to general workflow data from studies. They are slow, inaccurate, and expensive. Workflow Intelligence uses live usage data from all team members. It's fast, accurate, and affordable.