Breadth across the organization. Depth into the architecture.
Diagnosing where you stand today to move up the levels by working through the build sequence and instrumenting the stack.
AI Readiness Levels.
A diagnostic that tells you where you stand today and what moving to the next level actually requires.
- L0Dormant
No meaningful AI use.
- L1Role-level Lift
Individual usage, ungoverned.
- L2Governed Integration
Gateway in place. First evals. Workbenches defined.
- L3Coordinated Hybrid
Task-node contracts running real work. World model maintained.
- L4Adaptive Autonomy
Compounding learning across workflows. System improves overnight.
Client takeaway · "We know where we are, where we're going, and what Level 3 actually requires."
The Intelligence Stack.
Seven layers — each requiring the one beneath it. The bottom four build the world model; layers 5–6 govern execution; layer 7 compounds.
Institutional memory, policy updates, workflow learning — the system improves overnight.
Traces, evals, proofs, acceptance decisions, auditable rationale.
Agents, humans, tools, queues, workflows, APIs, systems of record.
Policies, authority routing, human-agent handoff rules, escalation paths.
Synthesis, anomaly detection, causal hypotheses, prioritization, confidence scoring.
Canonical identity, relationship graphs, temporal state, source provenance, context distillation.
Connectors into all sources of signal.
Client takeaway · "We know exactly what needs to be built — and where the world model lives."