- Governed agents (layer 04)
The agent layer and its controls.
- Trust Profile
The record that describes what each agent is and may do.
- Controlled autonomy
Five levels, from Assist to Adaptive.
- Build workflows from insight
When the response is a process and not a single agent.
- Building AI agents from your own data insights
Starting an agent from a real finding.
- Context engineering
Deciding what a model sees at each step.
- Human in the loop AI
Where approval gates belong and how to design them.
- Agentic workflow design
Workflows versus agents and the main patterns.
- Open-source agent frameworks
What each one is for and what none of them gives you.
- Company brain
The graph as one governed place for everything your organisation knows.
- Custom models
Models adapted on your own data and deployed under your control.
- Data and context (layer 02)
Where the graph and your knowledge sit in the six layers.
- Intelligence and models (layer 03)
How models are chosen and governed.
- Governed workflows (layer 05)
AI embedded in how the organisation operates.
- AI solutions (layer 06)
Measurable business outcomes.
- AI governance
Governance that runs inside AI, not beside it.
- Sovereign Intelligence
The category, the six layers and the trust fabric.
- SecOps agents
Security operations agents, in beta.
- Use cases
Worked examples, each in the same seven sections.
- How Swfte builds with Cortex
Our own practice for knowledge, review, approvals and improvement, labelled by status.
- Governed agents
What a governed agent is, with templates in the Can, Cannot, Requires approval and Records style.
- Compliance-approved workflows
Workflows with approval gates, evidence and records built in.
- Analyse
Ask a question of your own data and get an answer that says where it came from, how sure the platform is, and how old it is.
- Visualise
See the graph as a map, a timeline or a dashboard, with the evidence behind every line still visible.
- Package solutions from insight
Agents, workflows, views and policies, bundled together with the outcome they are meant to move.
- AI observability
See what your agents and workflows did, step by step, with the cost, the policy decisions and the evidence attached.
- Usage and cost analytics
Know who is spending what on which model, set limits that act, and turn a spend anomaly into a governed response.
- The enterprise graph
A customer-hosted graph of people, groups, reporting lines and accounts today, with systems, services, documents and decisions to follow.
- Deployment
Run the Intelligence Platform in your environment, choose what leaves it, and cut the link whenever you decide to.