Context Studio: every answer starts with the right context.
Context Studio is where you define, test and govern what Kroolo AI knows about your business: definitions, policies, playbooks and sources. Versioned, permission-aware and shared by every agent.
Unified context
Define it once. Every agent uses it.
Most AI mistakes are context mistakes: a metric defined two ways, a policy nobody told the model about. Fix the context once and every answer, agent and workflow improves with it.
Start from what you have
Bring in documents, wikis, tickets, metric definitions and policies as they are. No long modelling project before you see results.
Notion
Confluence
SharePoint
Google Drive
GitHub
SalesforceWritten in plain language
Subject experts add guides and definitions in plain text. Data and platform teams can sync the same files from Git. Every change is versioned.
# metric-definitions.md
ARR = recurring subscription
revenue x 12, excluding one-off fees.
# owner: Finance
Reaches every surface
One source of truth for Chat, Search, Agents and workflows, and for your own tools through MCP and API.
ChatSearchAgentsWorkflowsMCP and API
Governed by design
Context as code. Governance built in.
What your AI believes about the business should be reviewed like anything else that matters.
Versioned and reviewable
Every edit is a change request with a diff, an owner and a history you can roll back.
Approved by the right people
Route changes to the team that owns the definition before they reach any agent.
Permission-aware by default
Answers only draw on context and sources the person asking can already open.
Auditable
See which context shaped each answer, and when it last changed.
Observable everywhere
See what your AI is asked, and where it struggles.
Every question asked in Chat, Search, agents and connected tools shows up in one place, with the context that shaped the answer.
Trends surface on their own
Rising and new topics are grouped for you, so you see what the company is starting to ask before it becomes a problem.
Warnings point to the fix
Confusion, missing context and doubtful answers are flagged with the source involved, and a suggested edit is ready to review.
Improves with use
Gets sharper with every answer.
Context is not a project you finish. Studio closes the loop between what people ask and what your AI knows.
Step 1
A gap is found
The same question gets warnings nine times in a week: nobody agreed what "ARR" means.
Step 2
A fix is suggested
The Review agent drafts the missing definition and links the questions that exposed it.
Step 3
It is tested first
Changes run against your eval questions. Anything that makes an answer worse is caught before it ships.
Step 4
It goes live
Approved, versioned and published. Every agent uses the new definition from the next question.
Accuracy on your eval set
Before and after the ARR change, measured on the same 42 questions.
Before78%
After94%
Bring your own context
Works with the stack you already run.
Pull knowledge from your tools, write it in Studio, or sync it from Git. Context stays portable, so you are never locked in.
Connect your tools
Documents, tickets, chat and data platforms through 50+ native connectors, or any MCP server.
Manage it in Git
Keep guides and definitions in a repository, review changes in pull requests and run evals before shipping.
Bring your semantic models
Sync metric definitions from the models you already maintain and keep them versioned at the source.
NotionConfluenceSharePointGoogle DriveGitHub
Jira
SlackSalesforce
Snowflake
Databricks
Power BI
TableauFAQs on Context Studio
Give every answer the right context.
Bring a real question your AI gets wrong today. We will show where the context is missing and how Studio fixes it.
Explore
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