TransformingTransformation.
From Enterprise Transformation to Enterprise Instinct. Reveal how work actually happens to adapt in real-time.
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Case Study
Gordon Lee
Chief Accounting Officer, DoorDash
“We literally ask our team: Whatever you do, just record yourself on the Zoom video. We submit that to Klarity, within 15 minutes an SOP shows up — an actually usable document.”
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Case Study
Jason Durham
Chief Accounting Officer, Tyler Technologies
“Think of Klarity as an AI business analyst. It gives you insights about how to operate and transform just by taking your existing videos and process knowledge. Months of work can be turned around in weeks.”
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Case Study
David Parfitt
Operating Partner, MPE Partners
“AI now captures every process step and removes tribal knowledge in minutes. It changed how we think about value creation.”
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3,800+
Processes captured across global accounting operations in 14 weeks.
2-3x
Faster onboarding and training cycles.
DoorDash bent the cost curve
Capture and map all processes
3,800+ process videos analyzed and turned into comprehensive mapping of accounting workflows.
Analyze opportunities for automation
AI Advisor identified bottlenecks and automation opportunities, prioritized by ROI potential.
Identify innovations by team members
Signals surfaced innovations by team members that could be scaled to others.
Gordon Lee
CAO
Tyler Technologies transformed post M&A integration
Gather comprehensive view of current state
AI Interviews with 28 business units of acquired company to gather a comprehensive view of the current state.
Compare process differences
AI Advisor completed a side-by-side comparison or process differences to accelerate integration.
Jason Durham
CAO
28
Business units analyzed for integration.
24+ → 3
Weeks: post-acquisition integration timeline.
The Problem
The episodic model was built for a slower world.
Today, plans age before implementation, and the same problems keep returning. Capability never sticks when reality won't stay still.
Slow
Traditional current-state capture via workshops and manual interviews take months.
Static Recommendations
Recommendations are outdated by time of delivery and leave behind static decks, not living systems.
Resets Every Time
Traditional transformation resets with every project rather than building on the capability of the one before.
The Better Way
From episodic transformation to Enterprise Instinct.
AI that gives you real-time ground truth about how work happens, continuous guidance on what to improve, and the power to adapt before the competition does.
Episodic Traditional Consulting
Enterprise Instinct
Each engagement resets
Every cycle compounds
One-time engagements
Knowledge stays with the consultant
Continuous capability
Your team owns the intelligence
Months-long projects
Slow timelines, outdated by delivery
Insights in days
Current-state discovery in days, not months
Static recommendations
Outdated before the ink is dry
Dynamic recommendations
Always reflects how work actually happens
Resets every time
Each engagement starts from zero
Compounds over time
Every cycle adds to your foundation
Drag to compare
One-time engagements
Knowledge stays with the consultant
Continuous capability
Your team owns the intelligence
Months-long projects
Slow timelines, outdated by delivery
Insights in days
Current-state discovery in days, not months
Static recommendations
Outdated before the ink is dry
Dynamic recommendations
Always reflects how work actually happens
Resets every time
Each engagement starts from zero
Compounds over time
Every cycle adds to your foundation
How it works
Discover. Structure. Improve.
AI that helps you see clearly, adapt continuously, and compound over time.
Feel the magic on day 1. See the difference by day 30.
Phase 1
Discover
AI Companion, AI Interviews, and file uploads capture every process — the documented and the tribal.
Capturing screen activity
Phase 2
Structure
All discovery data flows into one AI-powered map — always current, always searchable, always role-aware.
Phase 3
Improve
Advisor surfaces recommendations. Signals detect drift and anomalies — feeding back into Discovery.
Phase 1
Discover
AI Companion, AI Interviews, and file uploads capture every process — the documented and the tribal.
Capturing screen activity
Phase 2
Structure
All discovery data flows into one AI-powered map — always current, always searchable, always role-aware.
Phase 3
Improve
Advisor surfaces recommendations. Signals detect drift and anomalies — feeding back into Discovery.
Where We Play
One platform. Every function.
HoverTap to explore
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See how Klarity helps teams adapt continuously and compound capability.