Context Graph of Work

# The foundation your agentic transformation relies on

Skan AI Platform powered by the Context Graph of Work

A dynamic, semantic, verifiable model of how your enterprise actually operates.

[Request a demo](/request-demo)

Built on 25B+ events. 500+ processes and 1,000+ enterprise apps. The Context Graph of Work is the backbone under the Skan AI platform.

## The missing context behind enterprise AI

![Icon](https://cdn.sanity.io/images/3xg3qj5k/production/e8605089e46c0bd0fdd99f3db3ab303bc9e316e6-45x46.svg)

### Continuously updated

Built from live operational signals, including tacit human knowledge, turnaround times, and decision patterns, not static documentation. The Context Graph of work evolves as your business evolves.

![Icon](https://cdn.sanity.io/images/3xg3qj5k/production/e8605089e46c0bd0fdd99f3db3ab303bc9e316e6-45x46.svg)

### Rich operational context

Continuously captures real work at scale covering all process variants, exceptions, workarounds from direct observation of human work, not just documents and event logs. The context AI needs to understand how work gets done.

![Icon](https://cdn.sanity.io/images/3xg3qj5k/production/e8605089e46c0bd0fdd99f3db3ab303bc9e316e6-45x46.svg)

### Grounded in real work

Every insight traces back to observed work. Transparent, explainable, auditable, and rooted in operational reality.

## One picture, powering the entire platform

![Serve BG](https://cdn.sanity.io/images/3xg3qj5k/production/43c7ca00c3e30e60eb461a1b4537d5fbb4d9031a-1518x1400.jpg?q=80&fit=max&auto=format)

Scan

Blueprint scans across the organization to pinpoint where inefficiency is costing you and where AI can deliver the greatest value.

1.  Scan
    
    Blueprint scans across the organization to pinpoint where inefficiency is costing you and where AI can deliver the greatest value.
    
2.  Distill
    
    Intelligence observes how people perform their work and turns that activity into verified process context, revealing workflows, variations, bottlenecks, and opportunities.
    
3.  Deploy
    
    Agents use that context to automate repetitive work, navigate real operational complexity, and deliver measurable outcomes with the right controls in place.
    

## Built for the enterprise that  
can't afford to get it wrong

[Learn more](https://trust.skan.ai/)

![Built for the enterprise that can't afford to get it wrong](https://cdn.sanity.io/images/3xg3qj5k/production/2b9aa4cd7038506c2df501636080a523b054b689-1518x1312.png?q=80&fit=max&auto=format)

Real-time, continuous observation

Delivers continuous insights, allowing for dynamic adjustments and traceable outcomes.

Enterprise-grade context at scale

Skan is one of the few work intelligence platforms that can be deployed to observe work at scale, spanning tens of thousands of operators at once.

Advanced AI application

Uses Computer Vision, NLP, and proprietary deep learning models for high fidelity process mapping and context extraction.

Client-owned, privacy-first architecture

All data, context and insights remain client-owned. Sensitive data stays within the client’s secured environment; only anonymized, abstracted metadata is sent to the Skan AI Cloud.

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## The enterprises already scaling with proven ROI

[See all stories](/case-studies)

[

![Definiti - Map the work. Then automate it | Client Success Story](https://cdn.sanity.io/images/3xg3qj5k/production/da847716989e8a92d985d7aeb057d4cc869e8c1b-984x549.jpg?q=80&fit=max&auto=format)

14,000+

14,000+

hours/year of automation-ready effort

Before, it was turn on AI and hope. Now we know exactly which processes to automate, what we'll save, and how to prove we got there.

Jennifer Redden

Head of Technology

![Definiti](https://cdn.sanity.io/images/3xg3qj5k/production/4bd9a3daea270bb97b789fc4d776f8a1d415d1e1-224x28.png?q=80&fit=max&auto=format)









](/case-studies/definiti-map-the-work-then-automate-it)

The Context Graph of Work at a glance

## The Context Graph of Work at a glance

-   [Processes](/context-graph-of-work#processes)
-   [People and systems](/context-graph-of-work#people)
-   [Outcomes](/context-graph-of-work#outcomes)

![Processes](https://cdn.sanity.io/images/3xg3qj5k/production/5e5710d7c16ff2d7d4e08e4ed31c9fab3285859c-889x621.svg)

## Processes

The end-to-end workflows that power your operations, including the exceptions, workarounds and rework loops that never make it into the documentation.

![](/static/scans/cover-full.png)

## People and systems 

The teams, roles, applications and touchpoints work moves through, with every workflow, skill set and usage pattern connected back to the processes they support.

![Outcomes](https://cdn.sanity.io/images/3xg3qj5k/production/23c4e663d2b528942aabb92648fcce7bfdee66de-889x621.svg)

## Outcomes

The outputs your operations create — documents, records and business metrics — with clear lineage showing how every outcome connects back to the work that produced it.

## Every Skan AI product, powered by the context graph of work

Blueprint

[

![Your AI masterplan](https://cdn.sanity.io/images/3xg3qj5k/production/33ba832e4a26326626c548e23e88a16d205e6896-536x464.svg)

](/blueprint)

Your AI masterplan. Recommendations, roadmaps and ROI.

[Learn more](/blueprint)

See how work really happens

Maps, metrics and opportunities, built from real work.

[Learn more](/process-intelligence)

See where engineering value is built.

Signals, patterns and productivity across the full developer day.

[Learn more](https://skanai.bytogether.agency/tbc)

Deploy agents grounded in your reality

Decisions, actions and outcomes, grounded in operational context.

[Learn more](/agents)

Your AI masterplan. Recommendations, roadmaps and ROI.

[Learn more](/blueprint)

Frequently asked questions

## Frequently asked questions

What is a Context Graph of Work?

A Context Graph of Work is a continuously updated model of how work gets done across an enterprise. It connects workflows, systems, decisions, exceptions and outcomes into a structured view that AI and business teams can use.

How is a Context Graph of Work different from a knowledge graph?

A traditional knowledge graph usually connects documented entities and relationships. A Context Graph of Work is built from observed operational activity, so it reflects how work actually flows across systems, teams and exceptions.

Why does enterprise AI need a Context Graph of Work?

Enterprise AI needs operational context to understand how work is performed, where decisions happen, and how exceptions are handled. Without that context, AI systems rely on incomplete documentation or assumptions.

What does a Context Graph of Work help organizations do?

It helps organizations identify improvement opportunities, understand operational performance, prioritize automation, and deploy AI agents grounded in real workflows.