Find where AI can save your team time.
Larridin maps workflows across your team’s apps and identifies opportunities to reduce manual work. Compare results with and without AI, then prioritize the improvements worth putting into practice.
Maps the work, not the worker·Metadata only·Team-level roll-ups
AI Performance Report
Example · Sales team · 30 days
| Workflow | Friction | Verdict |
|---|---|---|
| Lead Qualification in CRM | 25 | AI Helps |
| Pipeline Review & Updates | 47 | AI Hurts |
| Ticket Triage & Assignment | 28 | AI Helps |
| Month-End Close | 35 | Unclear |
Compare time spent and completion rates across AI-assisted and non-AI runs.
Trusted by AI-forward enterprises
How it Works
A lightweight browser extension and desktop agent observe how work flows through the apps your admins configure. Larridin turns that into workflows, verdicts and ranked opportunities.
Example apps
Larridin sensors
Browser extension
Admin-configured apps only
Privacy-first telemetry
No screenshots, no keystrokes
Desktop agent
Admin-configured apps only
Privacy-first telemetry
No screenshots, no keystrokes
Larridin Workflow Intelligence
Discovers
the workflows your team runs
Mines
processes, steps and friction
Compares
AI-assisted vs non-AI runs
Ranks
opportunities worth acting on
AI Impact report
Privacy-first telemetry: metadata only, from admin-configured apps. No screenshots, no keystrokes, no content. Team level by default.
Step 1
Deploy the Larridin desktop sensor
IT rolls out the browser extension and desktop agent to the apps your admins configure. Nothing changes for employees, and nothing is captured beyond metadata.
Step 2
Larridin discovers and mines workflows, processes and opportunities
Within days, a behavioral record of how work flows across your team: every workflow, its steps, its friction, and where AI is already in the loop.
Step 3
View the AI Impact report with actionable recommendations
Within weeks: a verdict on every workflow, automation opportunities ranked by hours recoverable, and the single highest-value thing to fix first.
Privacy and security
Built with privacy and security in mind
Larridin maps the work, not the worker. A lightweight browser extension and desktop agent observe how work happens, not what people write, type, or view.
Only metadata is collected, only from apps an admin configures, and everything rolls up to the team. Individual views are off by default.
Privacy and security
What we observe
Which apps are active
Order they’re used in
Time spent in each step
Tool transitions and friction patterns
Never collected
Message bodies
Document contents
Screen recording
Keystrokes
AI Transformation Center
Measured ROI from AI, and the next best workflows to transform.
Every candidate is backed by captured timings, not estimates from interviews. Capacity is labelled at every stage: potential, modeled, realized.
AI Transformation Center
Workflows transformed
9
Realized capacity / month
1,127 hrs
Annual capacity value
$419.1K / yr
Qualified candidates
195
Potential capacity / month
9,750 hrs
Potential capacity value
$3.6M / yr
By department · 253 assessed workflows
each square is one assessed workflow
Sales
46 assessed workflows
2 live · 34 high potential · 10 medium potential
Engineering
73 assessed workflows
3 live · 54 high potential · 16 medium potential
Customer Support
32 assessed workflows
1 live · 23 high potential · 8 medium potential
Product
57 assessed workflows
2 live · 43 high potential · 12 medium potential
Marketing
45 assessed workflows
1 live · 32 high potential · 12 medium potential
The 195 qualified candidates include 9 live workflows; potential and realized capacity overlap and should not be added. Capacity value uses $31 / hr × 52 weeks, not cash savings. Monthly hours use 52 / 12 weeks.
01 Workflows
Every workflow your team runs. Verdict on every one.
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.
Workflows
| Workflow | Occurrences AI · non-AI | Duration AI · non-AI, min | Friction | Top outcome | Verdict |
|---|---|---|---|---|---|
| Lead Qualification in CRM | 32 · 23 | 11.2 · 23.4 | 25 | Success | AI Helps |
| Pipeline Review & Updates | 20 · 10 | 30.7 · 7.0 | 47 | Success | AI Hurts |
| Ticket Triage & Assignment | 23 · 22 | 1.8 · 54.9 | 28 | Success | AI Helps |
| Month-End Close | 22 · 33 | 10.4 · 6.6 | 35 | Partial | Unclear |
Verdicts come from comparing AI-assisted runs against non-AI runs of the same workflow. Friction is the index of context switching, manual repetition, error recovery, waiting and search.
Mined process steps
AI duration
11.2 min
Non-AI duration
23.4 min
Friction
25
AI tools involved
Claude
02 AI Impact
Inside any single workflow. Friction, time, AI’s footprint.
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
Every AI tool, measured by what it changes.
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.
Claude.ai
Selected workflow: 18 of the 84 Claude-assisted runs, compared with 3 runs without Claude.
With Claude.ai (18)
72% success · 22% partial · 6% failed
Without Claude.ai (3)
33% success · 34% partial · 33% no outcome
Verdict: Claude.ai is accelerating core analytical work.
What to do: Connect Claude.ai output directly to the downstream Salesforce update step.
Recommendations
Most consequential action
Hours show potential weekly capacity recovery if each recommendation is implemented. Evidence is one click away.
04 Recommendations
The single highest-value thing to fix this week.
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
Traditional process mapping records what people said. Larridin records what actually happened.
Including the new, AI-native workflows that have never appeared in any process map.
| Approach | Interview-based process mapping | Larridin Workflow Intelligence |
|---|---|---|
| Inputs | Interviews and process documents | Activity from admin-configured apps |
| Updates | Periodic assessments | Updated as new activity is captured |
| Coverage | Selected processes and participants | Configured apps and measured teams |
| AI comparison | Participants describe how they use AI | Compare AI-assisted and non-AI workflow runs |
| Next steps | Recommendations from the assessment | Ranked opportunities linked to observed workflows |
Who it’s for
For the leaders who have to answer for AI.
For the CIO
“I need to know where AI will actually move the needle.”
The next investment decision is defensible before you make it.
For the CFO
“Show me where the spend is going and what it’s producing.”
Stop defending AI spend. Start proving ROI.
For engineering leaders
“I need to see how work is changing as we deploy AI.”
The transformation roadmap stops being a hypothesis.
For transformation leaders
“I need to know which processes are worth redesigning first.”
The roadmap becomes evidence-based before work begins.
Up and running in days.
Delivering insight in weeks.
Compounding value from there.
Start with two or three teams where the questions are sharpest. Expand from there.
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