Shared agents
Auto Routing
Auto Routing sends each Coworker request to the model that best fits its task, quality bar, latency and cost, with fallbacks when a provider is slow or down.
- AI Intelligence & Models
//Coworker Intelligence
Intelligence that knowshow your company works.
Coworker Intelligence combines your enterprise graph with the right model for each task, so answers and actions are grounded in your company's knowledge and permissions.
Enterprise graph
Context about people, work and knowledge
Coworker maps how documents, projects, people and activity relate, so every answer starts from the full picture.
Grounded
Answers you can trace to a source
Every answer cites the documents, messages and records it came from, and only those the user can already see.
Layers
One intelligence layer for every surface
Connectors, the enterprise graph, reasoning and models work as one layer behind search, the assistant and agents.
//Overview
What is Coworker Intelligence?
Coworker Intelligence is the layer that makes DataObserve Coworker's answers and actions specific to your company: it combines the enterprise graph of your apps, people and work with the right model for each task.
It understands each request, retrieves only what the user may see, reasons over the evidence and responds with citations, behind search, the assistant and agents alike.
//How it answers
From question to grounded answer,in four steps.
Understand
Understand the request
Coworker works out what is being asked, by whom, and which teams, projects and systems it touches.
//Built into the intelligence layer
What makes the answers trustworthy
Permission-aware retrieval
Source-system permissions apply to every item retrieved.
Personal context
Your role, team and recent work shape what is relevant.
Freshness
Recent changes rank ahead of stale copies.
Citations
Every claim links back to the source it came from.
Model choice
Each task uses the model that suits it best.
Conflict checks
When sources disagree, the newer decision is used and flagged.
//Explore more withDataObserve
More from Coworker · AI Intelligence & Models
Model Hub
Model Hub gives Coworker users and builders a governed choice of frontier, open and DataObserve models, approved by admins and available across search, assistant and agents.
- AI Intelligence & Models
AI Gateway
The Coworker AI Gateway gives every AI tool your company uses one governed path to models, with authentication, rate limits, spend caps and logging in one place.
- AI Intelligence & Models
Usage Controls
Usage Controls let admins decide who can use which Coworker features, models and data, set budgets by team, and see how AI is used across the company.
- AI Intelligence & Models
//Use cases
Coworker Intelligence: use cases
Company questions
Answer questions about customers, projects and policies from your own sources.
Decision recall
Find what was decided, when and by whom.
Grounded agents
Give every agent the same permission-aware context.
Cross-app answers
Combine documents, chats and records in one answer.
//FAQs
Coworker Intelligence: questions teams ask
How does Coworker avoid hallucinations?
Answers are grounded in retrieved company sources and cite them, and conflicting sources are checked before the answer is written.
Which models does Coworker Intelligence use?
The model that suits each task, chosen from models your admins approve, including DataObserve's Mek, Mini and Med.
Does Coworker Intelligence use my permissions?
Yes. Retrieval enforces source permissions on every item, so answers only use what the user can access.
What is the difference between Coworker Intelligence and enterprise search?
Enterprise search finds information. Coworker Intelligence is the layer behind search, the assistant and agents that understands, retrieves, reasons and responds.
