The Context Graph — A Living Map of How Your Organization Actually Works
A living map of how your company actually works — every process, decision, and workaround — so AI can act on what your best people already know.
What is a Context Graph?
A Context Graph is a living, AI-readable map of how an organization actually operates — every process, decision, and workaround, captured across every team. It is the foundation enterprises need to deploy AI that acts with judgment instead of hallucination.
It's your organization's digital twin, built at a depth and scale that wasn't possible before AI could do the capturing.
STRUCTURED
Structured data.
CRM, HRIS, ERP, ITSM. The structured backbone — clean rows, clean APIs. AI can already read this. It's the smallest part of how your organization actually works.
UNSTRUCTURED
Unstructured data.
Decks, emails, memos, contracts, documents, messages. The layer where the real work lives — but it's scattered, unindexed, and your AI can't reason across it.
TRIBAL KNOWLEDGE
How people actually work.
The Tuesday standup. The reason the CFO approved one vendor. The workaround the team built because the documented process doesn't work. None of it emits a signal — until Klarity captures it.
AGENTS
Agents need access to all of it.
Not just systems. Not just docs. Every layer. The Context Graph hands agents the same picture your best people carry in their heads — so they act with judgment, not hallucination.
STRUCTURED
Structured data.
CRM, HRIS, ERP, ITSM. The structured backbone — clean rows, clean APIs. AI can already read this. It's the smallest part of how your organization actually works.
UNSTRUCTURED
Unstructured data.
Decks, emails, memos, contracts, documents, messages. The layer where the real work lives — but it's scattered, unindexed, and your AI can't reason across it.
TRIBAL KNOWLEDGE
How people actually work.
The Tuesday standup. The reason the CFO approved one vendor. The workaround the team built because the documented process doesn't work. None of it emits a signal — until Klarity captures it.
AGENTS
Agents need access to all of it.
Not just systems. Not just docs. Every layer. The Context Graph hands agents the same picture your best people carry in their heads — so they act with judgment, not hallucination.
YOUR ENTERPRISE RUNS ON FOUR LAYERS. THE FIRST THREE ARE HOW YOUR PEOPLE WORK. THE FOURTH IS HOW YOUR AI INHERITS ALL OF IT.
Human reasoning doesn't emit data.
Every AI system runs on context — logs, clicks, transactions, tickets. But the most valuable organizational knowledge never becomes data at all. The judgment call made in a Tuesday standup. The reason a CFO approved one vendor over another. The workaround a team built because the documented process doesn't actually work.
None of it emits a signal. None of it lands in your systems. And none of it is available to your AI.
“The most valuable organizational knowledge never becomes data at all.”
KLARITY DISCOVERS IT EFFORTLESSLY — AND THE COMPANIES GETTING REAL AI ROI HAVE ALREADY FIGURED OUT WHY THAT MATTERS.
Every Successful AI Transformation Starts Here
Companies getting real AI ROI built a deep, living map of how their organization actually operates — before deploying AI into it. You can't transform what you don't understand.
Map how people actually do work, how decisions get made, how approvals flow — across every role, every team. That map shows you where AI creates value, where shared AI skills deploy broadly, and where change management drives real daily adoption.
Without it, you're deploying AI blind. With it, every initiative is faster, more targeted, and sticks.
WHAT KLARITY HAS UNCOVERED
more processes surfaced than documentation alone
to first Context Graph
decision nodes captured per discovery cycle
WHICH IS WHY THE OLD TRANSFORMATION PLAYBOOK CAN'T GET YOU HERE.
Why the old transformation playbook can't get you here.
The traditional approach samples a handful of stakeholders, hands over a deck, and stops. The deck is outdated the day it ships, change management is bolted on at the end, and most of how the company actually works never made it onto a page. What you actually need looks nothing like a transformation engagement. It looks like infrastructure.
The Old Model
Current State → Future State → Change Management
- 01Samples a handful of stakeholders, misses the full picture
- 02Static snapshot, outdated on delivery
- 03Change management bolted on at the end
What You Actually Need
Continuous · Comprehensive · Embedded
- 01Full-depth capture across every role, every team, every individual — not a sample
- 02A living map that updates as your work evolves, your people adapt, and new AI capabilities come online
- 03Change management embedded from day one — with AI agents that coach adoption in real time
SO HERE'S HOW KLARITY ACTUALLY BUILDS ONE.
Discover. Structure. Improve.
Klarity builds your Context Graph in three motions, delivered by specialized AI agents — running continuously, across every team, at a depth no manual process matches.
Discover.
AI agents work alongside your people at scale — capturing how work gets done, in real time, at a depth no manual process matches.
Structure.
Everything organized into your living Context Graph — structured, navigable, always current. Evidence, not hypothesis.
Improve.
Surface the highest-value opportunities. Agents coach your teams on AI adoption. As capabilities evolve, the cycle runs again.
Two agents. One living knowledge map.
Discovery is where the depth comes from. Two agents work in parallel — each capturing a different layer of how your enterprise actually operates. While they run, Klarity also indexes your existing documents, SOPs, and artifacts — connecting what's written to what's real.
AI Companion
Observes work as it actually happens
AI Interviewer
Extracts what lives only in people's heads
ONCE IT'S BUILT, HERE'S WHAT YOU DO WITH IT.
See Exactly Where and How to Act
Where to Build AI Infrastructure
Identify workflows and decision points where purpose-built AI creates transformational value. Evidence-backed, not guesswork.
Where to Deploy Shared AI Skills
Lightweight, reusable AI capabilities across teams — broad productivity gains without heavy custom builds.
Where to Drive Change Management
See where people need support adopting AI daily. Close the gap with targeted coaching, not generic training.
THE CONTRAST, IN ONE FRAME:
The difference between AI that hallucinates and AI that acts with judgment.
A model that knows your business doesn't just generate. It acts. The Context Graph is what gets you from one to the other.
MULTIPLY THAT ACROSS EVERY INITIATIVE, OVER TIME.
AI adoption that drives real value.
With your Context Graph in place, every AI initiative builds on the last. Adoption moves from scattered experiments to measurable value — every deployment targeted at the right problem, supported by embedded change management, grounded in how your organization actually works.
Your leadership makes decisions backed by organizational evidence. Your teams adopt AI because they're coached through it. Your AI investments compound instead of resetting.
THE SAME PATTERN HOLDS IN EVERY FUNCTION.
The same pattern — capture how work happens, structure it into a Context Graph, deploy AI on top — works in Finance, IT, GTM, HR, and Operations.
One platform. Every function.
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Build your Context Graph.
See how Klarity can build your Context Graph in 3 days — and where AI creates the most value in your specific business.
FAQ
Common questions about the Context Graph
A Context Graph is a living, AI-readable map of how an organization actually operates — every process, decision, and workaround, captured across every team. It's the foundation enterprises need to deploy AI that acts with judgment instead of hallucination.
Process mining reads event logs from your systems of record. A Context Graph captures all four layers — systems of record, work artifacts, tribal knowledge, and the AI agents that act on them. Process mining sees the digital exhaust; the Context Graph sees how work actually happens.
Knowledge graphs structure facts and relationships. A Context Graph structures behavior — decisions, judgment calls, workarounds, the reasoning behind approvals. It's not just what your organization knows; it's how it acts.
Generic AI models are trained on the world's data — not yours. Without a Context Graph, every AI agent in your enterprise operates without institutional memory: hallucinated process maps, generic outputs, and reset learnings on every project. A Context Graph gives AI the context it needs to act, not just generate.
Klarity's AI agents — AI Companion and AI Interviewer — run continuously and produce a usable Context Graph within 3 days. The graph then compounds with every meeting, document, and workflow.