Orchestrating autonomous enterprise intelligence.
Cevian AI runs teams of agents across your documents, systems and models: retrieval with citations, multi-step reasoning and tool use, all inside your own cloud and traced end to end.
- request
You
Review this supply order from our side of the deal
- route
Super Intelligence
Hands the contract to the analyst agent
- analyse
Analyst agent
Reads every clause, flags clause 6 (arbitrator)
- result
Analyst agent
11 issues found, 3 high-risk
- draft
Drafter agent
Rewrites the risky clauses
- output
Drafter agent
redraft.docx, with every change listed
The stack, inside your cloud
Every layer runs in your own cloud tenant. Governance runs alongside all of them.
your-cloud-tenant
Channels
Where people work with it
- Microsoft Teams
- Web app
Orchestration
Plans the work and coordinates agents
- Super Intelligence
- Agent teams that call each other
Agents
Published to the Agent Store for the whole team
- Knowledge agents
- Task agents
- Deep agents
Agent Builder
How agents are made, without code
- Model
- Instructions
- Knowledge
- Skills
- Tools
- Playground
Knowledge
Your content, indexed where it lives
- SharePoint
- Confluence
- Jira
- Zendesk
- ServiceNow
- Knowledge Center uploads
- Search indexes for text, images and summaries
Connector framework for any other source
Models
Chosen per agent, switchable at any time
- Azure OpenAI
- AWS Bedrock
- GCP Vertex AI
- Open-source models
What happens when someone asks
The same path runs for a simple question and for a multi-agent task.
- 1
Ask
A user asks a question or hands over a task, in Microsoft Teams or the web app.
- 2
Plan
Super Intelligence decides which agent, or team of agents, should handle it.
- 3
Retrieve
Agents search your connected sources and indexes. Results respect existing permissions, such as Active Directory on SharePoint.
- 4
Reason and act
Agents work through the problem in steps, call skills and tools, and hand work to each other.
- 5
Answer
The result comes back with citations to the exact sources it used.
- 6
Trace
Every step of the run is traced, and every query is logged for analytics.
Connectors and models
Bring your own sources and your own choice of model.
Data sources
Ready-made connectors, plus a framework for building more.
- SharePoint
- Confluence
- Jira
- Zendesk
- ServiceNow
- Your system next
Models
Pick one per agent, and switch when a better model arrives.
- Azure OpenAI
- AWS Bedrock
- GCP Vertex AI
- Open-source models
Deployment and security
Runs in your cloud tenant
The whole platform deploys inside your own cloud. It is built for Azure, GCP and AWS, and launches first on Azure.Your data stays yours
Documents, conversations and agent runs never leave your environment. No third-party AI provider sees your content.Permissions carried through
Answers only draw on content a user is allowed to see. SharePoint keeps your Active Directory permissions.Guardrails and tracing
Guardrails are built in, and every agent run is traced end to end, so you can audit what happened and why.No model lock-in
Each agent can use a different model, and you can switch models without rebuilding the agent.Live in under 30 days
Contract to live deployment in under 30 days, with onboarding and connector setup included.
Walk through it with our engineers.
In a 30-minute technical call we cover deployment, security and how Cevian AI connects to your systems.