UNDERSTAND. MEASURE. ACT.
Three steps from flying blind to driving transformation.
UNDERSTAND. MEASURE. ACT.
DIAGNOSTICS
Velocity, quality, cycle time, delivery confidence, and developer experience — measured with metrics designed for how software is built today, not 2022.
AI IMPACT
Novel metrics that no other platform measures: AI Slop Index, AI Code Share, Code Durability, and real ROI — the answers every leader needs but can't get today. 
PROACTIVE COACHING & RECOMMEDATIONS
Specific issues surfaced from your data, targeted actions for ICs, EMs, and leaders — delivered weekly, personalized to each team's context. 
01 DIAGNOSTICS
Velocity, quality, cycle time, delivery confidence, and developer experience — measured with metrics designed for how software is built today, not 2022.
02 WORKFLOW INTELLIGENCE
Analyze real workflows, not just outputs. Measure toil, focus time, AI contribution, and workflow fragmentation. These are insights traditional engineering metrics miss.
03 AI IMPACT
Novel metrics that no other platform measures: AI Slop Index, AI Code Share, Code Durability, and real ROI — the answers every leader needs but can't get today.
02 AI IMPACT
Novel metrics that no other platform measures: AI Slop Index, AI Code Share, Code Durability, and real ROI — the answers every leader needs but can't get today.
CUSTOMER PROOF
THE PROBLEM
Start with a discovery call. We'll show you how Larridin gives you complete visibility into your AI transformation — in minutes, not months.
THE SOLUTION
Start with a discovery call. We'll show you how Larridin gives you complete visibility into your AI transformation — in minutes, not months.
THE RESULT
Start with a discovery call. We'll show you how Larridin gives you complete visibility into your AI transformation — in minutes, not months.
Scale successful AI initiatives with strategic orchestration and performance measurement.
| CFO Use data-driven recommendations to reduce unnecessary licensing and reinvest intelligently Larridin for CFOs → | CIO Enforce AI governance monitoring, security policies, and token optimization. Larridin for CIOs → | CISO Real-time risk detection, compliance monitoring, and data governance. Larridin for CISOs → |
| CAIO Accelerate AI adoption and scale AI expertise across the enterprise Larridin for CAIOs → | CHRO Optimize productivity by enabling and measuring human+AI collaboration Larridin for CHROs → | Business Leader Scale successful AI initiatives with strategic orchestration and performance measurement. Larridin for Business Leaders → |
04 PROACTIVE COACHING & RECOMMEDATIONS
Specific issues surfaced from your data, targeted actions for ICs, EMs, and leaders — delivered weekly, personalized to each team's context.
THE FRAMEWORK
The industry's first computable model of AI engineering maturity. Like self-driving, AI-native engineering isn't binary — it's a progression.
LEVEL 1
AI-Assisted
Autocomplete and suggestions. All decisions human-led.
AI Tool Adoption Rate
Tracking who has access and initial usage frequency.LEVEL 2 (80% of teams are here) ![]()
AI-Augmented
AI handles boilerplate and scaffolding. Engineers direct everything.
AI Adoption Breadth
% of engineers actively using AI tools daily with measurable engagement.LEVEL 3
Spec-Centric
Agents work within specs. Engineers define, review, validate.
% of Code Generated by AI
— measuring AI share, code durability, and slop index across all repos.LEVEL 4
Agentic
Agents handle most implementation. Engineers shift to architecture.
Cost/PR & Spec Conversion
— measuring cost efficiency of AI-driven development.LEVEL 5
Full Autonomy
Agents operate end-to-end from business goals.
% of Fully Autonomous Workflows
— auto PR creation, automatic security reviews + remediation.THE FRAMEWORK
Like self-driving, AI-native engineering isn't binary — it's a progression.
LEVEL 1
Autocomplete and suggestions. All decisions human-led.
AI Tool Adoption Rate
Tracking who has access and initial usage frequency.
LEVEL 2 ⯇ 80% of teams are here
AI handles boilerplate and scaffolding. Engineers direct everything.
AI Adoption Breadth
% of engineers actively using AI tools daily with measurable engagement.
LEVEL 3
Agents work within specs. Engineers define, review, validate.
% of Code Generated by AI
— measuring AI share, code durability, and slop index across all repos.
LEVEL 4
Agents handle most implementation. Engineers shift to architecture.
Cost/PR & Spec Conversion
— measuring cost efficiency of AI-driven development.
LEVEL 5
Agents operate end-to-end from business goals.
% of Fully Autonomous Workflows
— auto PR creation, automatic security reviews + remediation.
WHY LARRIDIN
TRADITIONAL TOOLS
LARRIDIN
BUILT FOR EVERY LEVEL
BUILT FOR EVERY LEVEL
→ Organization-wide visibility
→ AI ROI justification
→ Transformation roadmap
→ Board-ready metrics
→ Team-level diagnostics
→ Coaching autopilot
→ Sprint-to-sprint improvement
→ Review bottleneck detection
→ Personal AI effectiveness
→ Skill development prompts
→ Workflow optimization
→ Peer benchmarking
BENCHMARK
Performance metrics by AI autonomy level
INTEGRATIONS
Larridin integrates seamlessly with the tools your team already uses — from version control to project management to CI/CD.