Operating and architecture boundaries
Define Aevah’s stable operating layer, the interchangeable model and system subsystems beneath it, customer systems of record, runtime boundaries, data movement, and areas of responsibility.
A complete path for technical diligence
Evaluate boundaries, context, integration, deployment, identity, governance, reliability, responsibilities, and acceptance evidence.
Technical evaluation is one click from the business journey, but it does not organize the homepage. The goal is a shared factual spine between executive relevance and implementation diligence. Aevah pairs a probabilistic reasoner with formalized constraints, so evaluation should cover both halves: what the model is permitted to see and propose, and what decides whether a proposal becomes an action.
Integration and business context
Inspect source onboarding, identity, semantics, lineage, revisions, ownership, and how context is used.
Inference, routing, and source boundaries
Inspect model selection, multi-model routing, permitted context, customer- or Aevah-controlled compute, human confirmation points, and evidence retained with an inference-supported action.
Universal deployment continuum
Select customer subscriptions, customer-controlled cloud inference, Aevah-managed private AI, Aevah datacenter, customer datacenter, or air-gapped operation. The complete offering is production-ready across the continuum.
Effort and cost drivers
Evaluate use-case complexity, number and condition of sources, environment readiness, identity and policy requirements, customer-isolation needs, operating controls, adoption support, and required Success Capacity.
Identity, authorization, governance, and audit
Evaluate role and service identity, authorization, policy, confirmation, isolation, auditability, and retention.
Reliability, recovery, and component change
Inspect health, observability, inference and action evidence, change control, recovery evidence, release boundaries, model replacement, and operational handoff.
Evaluation and acceptance
Record scenario, prerequisites, constraints, current and forthcoming capability, observable evidence, and acceptance owner.
Executive intentOutcome · owner · boundaries
Aevah operating layerOperating intelligence
- Business identity & Operating DNA
- Orchestration & durable state
- Policy, authority & action boundaries
- Routing, verification & evidence
- Change resilience & accountable recovery
Language modelsAnalytical modelsEnterprise systemsWorkflow runtimes
Accountable action → inspectable evidence → measurable success
Consistent Aevah operating layerOperating DNA · orchestration · policy · evidence · change control
Bring your cloud and inference subscriptions
Use customer-selected services inside an agreed operating boundary.
Customer-controlled cloud inference
Keep inference accounts, access, and policy under customer control.
Aevah-managed private AI
Use a privately operated footprint with responsibilities defined for the scope.
Aevah-datacenter deployment
Place the agreed footprint in an Aevah-controlled facility.
Aevah Sovereign Rack
Buy the complete hardware and platform from Aevah for production operation in your datacenter, including air-gapped environments.
Every option carries the same Aevah operating layer. Environment prerequisites and operating responsibilities are confirmed for the selected scope.
Evaluation responsibility mapExact boundaries are agreed for each scope
Customer owns
- Operating outcome and accountable owner
- Business meaning, policy, and decision rights
- Source and environment access
- Adoption and accountable acceptance
Shared
- Value case and measures
- Scope and prerequisites
- Evidence and constraints
- Production and expansion decision
Aevah drives
- Operating-pattern implementation
- Context, workflow, and evidence connection
- Governed change and handoff
- Success Capacity and knowledge transfer
Evaluation evidence
Know what a consequential claim must contain.
These artifact structures establish the evidence standard used to define and evaluate a customer-specific scope.
Artifact 01Decision evidence
Decision brief
- Owner
- Named business decision owner
- Context
- Approved sources and definitions
- Assumptions
- Visible and revision-controlled
- Decision
- Authority and rationale recorded
- Follow-through
- Actions, owners, and exceptions
Artifact 02Operating evidence
Work and exception trail
- Prerequisites
- Complete, incomplete, or excepted
- Authorization
- Role, policy, scope, purpose
- Exception
- Owner, age, escalation, decision
- Completion
- Evidence and responsible acceptance
- History
- Exact revision and change reason
Artifact 03Acceptance evidence
First Flight packet
- Value case
- Baseline and measures agreed
- Boundaries
- Current, configured, and excluded
- Controls
- Identity, policy, confirmation
- Readiness
- Operations, recovery, handoff
- Next decision
- Accept, refine, pause, or expand
A practical next step
Choose one consequential area. Start there.
In the first conversation, we’ll compare the operating problem, the people who own it, and the evidence that would make a next step worthwhile.
Inspect the evaluation packet