Agent6 Intelligence Stack
The private control layer between
AI models and your operation.
Agent6 organises specialised agents, model selection, organisational memory, human approval, verification and audit into one controlled system on your infrastructure. AI becomes reliable executable work without dependence on a single model provider.
Interactive architecture
Six layers. One closed accountability loop.
Select a layer to see how signals become controlled execution. Governance, model routing and assurance run through the entire stack; approved corrections inform the next task.
Purpose
Goal, authority & boundaries
Defines the purpose, rules, allowed actions, blocked actions and accountable owner before an agent starts.
- Agent Passport
- Policy & authority
- Data and tool boundary
Why a stack?
A model generates output. A workforce must control work.
Operational work needs identity, current context, task allocation, model choice, verification, escalation, logging and recovery. Agent6 makes that private execution layer explicit and governable.
Orchestration
Work is distributed as typed steps to the right agent, tool, model or person.
Verification
Output is checked against schema, sources, uncertainty and agreed quality rules.
Audit
Every material step records time, actor, input, outcome and approval.
Organisational memory
Process knowledge and approved corrections become versioned context for later tasks.
Private access boundaries
Each agent sees only the sources and tools required for its role inside your environment.
Model freedom & fallback
Models can be selected per task, replaced or run locally without rebuilding the workflow.
From experiment to AI-first operation
Your systems remain. Agent6 builds the private process layer between them.
The first implementation runs as an Edge Twin beside the current workflow. People and AI process the same cases; more execution shifts only after quality and control have been proven.