Platform

One operating layer for governed AI work.

UNIT2 turns AI from isolated tools into a controlled production system. Agent6 coordinates specialised agents, work queues, human approval gates, audit logs and Correction Memory so organisations can automate real workflows without losing accountability.
Executive overview
Not a chatbot. Not a generic agent framework. Enterprise AI infrastructure.
The Intelligence Stack is a coordinated team of specialised AI agents operating under continuous governance. Each agent has a defined role, constrained permissions and a specific queue of work. Every consequential output is independently checked, validated, logged and approved before it reaches a customer, system or regulator.
6Operational layers from Purpose to Learn.
4Production primitives: evals, logs, recovery and review.
2–3 weeksTypical per-customer configuration window.
50–70%Potential AI-cost reduction through multi-tier routing.
AI-native transformation

The next company is coordinated by intelligence, not middle-management latency.

Companies were built around human hierarchy because coordination was expensive. AI changes the economics. UNIT2 helps leaders build an AI-native operating layer beside the existing organisation, then migrate workflows safely once performance, governance and accountability are proven.

PurposeConstitutional rules define what the system serves and what it may never do.
AgentsSpecialised workers execute bounded roles with explicit passports.
WorkflowsTyped queues move work through sensing, interpretation, decision and execution.
Learning loopsCorrections become permanent operating rules instead of disappearing into meetings.
The shift

From AI tools to a governed AI workforce.

Most organisations start with isolated agents that complete individual tasks. UNIT2 turns those workers into a coordinated operating layer: structured work, shared context, approvals, audit trails and permanent learning.

AI agents

Useful digital workers, but usually narrow, reactive and fragmented across departments.

01Individual task execution
02Waits for human prompting
03Rules and memory stay local
04Hard to audit across workflows
VS

UNIT2 agentic layer

A governed AI workforce that senses, interprets, decides, orchestrates and learns under human control.

01Coordinated multi-agent operations
02Proactive queue-based orchestration
03Correction Memory improves future work
04Governance and assurance by design
UNIT2 mission: convert fragmented AI experiments into a controlled enterprise intelligence system — where people set policy, agents execute work, and every consequential action remains verifiable.
Govern | Assure

Control is not bolted on. It runs through every layer.

The vertical control layer is the audit chain, validator, verification engine, approval gate and administrative dashboard operating on every consequential event.

G

Govern

  • Policy enforcement through prompts, schemas and active corrections
  • Permission scoping per agent and task type
  • Approval gates for consequential decisions
  • EU AI Act Articles 12, 14 and 15 alignment
A

Assure

  • Strict JSON Schema validation with automatic retries
  • Chain-of-Verification for consequential outputs
  • SHA-256 hash-chained append-only audit log
  • Mandatory human approval for sensitive outputs