Enterprise Brain Architecture
A 7-layer framework for governed, auditable and scalable enterprise AI.
Enterprise Brain Architecture (EBA) is a seven-layer reference architecture for enterprise AI in which governance is the backbone rather than an afterthought. Its layers are strategy, governance, orchestration, agent, execution, audit and intelligence, and outcomes from the intelligence layer feed back into strategy so the organization keeps improving.
Why EBA?
Most enterprise AI deployments are fragmented, ungoverned and unmanageable at scale. The EBA designs governance not as an afterthought but as the backbone of the architecture.
The 7-Layer Model
| L1 — Strategy | BSC/OKR → machine-executable task specifications |
| L2 — Governance | Policy, regulatory and ethical enforcement on every agent action |
| L3 — Orchestration | Multi-agent workflow coordination and dependency management |
| L4 — Agent | Individual AI agents with defined roles, capabilities and authority limits |
| L5 — Execution | Agent-to-system/API interactions; all actions logged and traceable |
| L6 — Audit | Immutable records; real-time compliance monitoring and reporting |
| L7 — Intelligence | Outcome aggregation; continuous improvement feedback to L1 |
Key Outcomes
- 60% reduction in AI governance preparation time
- Full, unbroken audit trail from strategy to execution
- ISO 42001, EU AI Act and SOC 2 compliance — one framework
- Scalable across 13+ sectors; human oversight at every critical point
16-Week Implementation Roadmap
Weeks 1-2: Readiness Assessment → Weeks 3-6: Governance & Strategy → Weeks 7-12: Orchestration & Agents → Weeks 13-16: Audit & Intelligence Activation.
Enterprise AI architecture: the eight layers — the framework this reference architecture sits inside.
Frequently asked questions
What are the seven layers of the Enterprise Brain Architecture?
L1 Strategy turns BSC and OKR goals into machine-executable task specifications. L2 Governance enforces policy, regulatory and ethical rules on every agent action. L3 Orchestration coordinates multi-agent workflows. L4 Agent defines individual agents with roles, capabilities and authority limits. L5 Execution handles agent interactions with systems and APIs, all logged. L6 Audit keeps immutable records and monitors compliance. L7 Intelligence aggregates outcomes and feeds improvements back to L1.
Why build enterprise AI around an architecture instead of individual tools?
Most enterprise AI deployments are fragmented, ungoverned and hard to manage at scale. An architecture gives every agent a place, an authority limit and an audit trail, so AI can scale without losing control.
How long does implementing the Enterprise Brain Architecture take?
The reference roadmap is 16 weeks: weeks 1-2 readiness assessment, weeks 3-6 governance and strategy, weeks 7-12 orchestration and agents, weeks 13-16 audit and intelligence activation.
Which standards does the architecture support?
It is designed to cover ISO 42001, the EU AI Act and SOC 2 in one framework, with an unbroken audit trail from strategy to execution and human oversight at every critical point.
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