The architecture of an
AI‑native enterprise
AIsion is a layered platform: connect your sources, ground them in a private knowledge layer, reason with governed AI, and act through agents — all observable and auditable end to end.
Five layers, one governed flow
From raw enterprise data to trusted action — every layer inherits security, permissions and audit from the one below it.
Experience & agents
Assistants, copilots, extraction queues and agentic workflows — where people and AI collaborate.
Governed reasoning engine
Orchestration, RAG, tool-calling and model routing — wrapped in guardrails, approvals and policy.
Private knowledge layer
Chunking, embeddings, hybrid search and a permission-tagged vector + metadata store. Your grounded truth.
Integration fabric
100+ connectors for ERP, CRM, warehouses, content and APIs — with incremental, permission-aware sync.
Your enterprise data & models
Systems of record, documents and your chosen LLMs — in your cloud, sovereign cloud or data center.
From source to
cited answer
Every response and action follows the same traceable path — and the whole path is logged.
See the governance controlsConnect & sync
Connectors pull content and records, preserving source permissions.
Index privately
Content is chunked, embedded and permission-tagged in your knowledge layer.
Retrieve with permission
A query returns only what that user is authorized to see.
Reason & ground
The engine composes an answer strictly from retrieved evidence.
Cite, act & log
Output is cited, any action is gated, and every step is audited.
Your data never leaves
your boundary
Three deployment modes, identical capabilities. Choose the posture your compliance requires.
Cloud
Fastest to value. Runs in your cloud tenant (Azure, AWS, GCP) with your keys and your VPC.
Sovereign cloud
In-region, isolated infrastructure for data-residency and public-sector mandates.
On-premise
Fully air-gapped in your data center with open-weight models — nothing leaves the building.
Connect once.
Every capability inherits it.
Prebuilt connectors for the systems enterprises actually run, plus a typed SDK and REST/GraphQL APIs for everything else.
Observability & MLOps, included
Cost & usage
Track spend by team, model and capability with budgets and alerts.
Quality & evals
Golden sets, automated evals and drift detection keep outputs honest.
Latency & health
Live SLOs, tracing and failover across models and connectors.
Model lifecycle
Version, promote and roll back prompts, models and pipelines safely.
Architecture built for trust and speed
Get the technical deep-dive and a reference architecture for your environment.