Route every prompt through policy.
Unify frontier models, local models, retrieval calls, and tool permissions behind one auditable control plane.
Model gateways / agents / evaluation / governance
Intelligence
with edges.
A private AI operating layer for teams that need autonomous software without giving up control.
AI should act with context, stop at boundaries, and leave a trace any team can read.
Give work to agents, not access to everything.
Run bounded workflows with scoped tools, human approval points, and memory that can expire by design.
Measure behavior before scale.
Track regressions, latency, cost, answer quality, and policy exceptions from prototype to production.
Input
User intent
Enterprise context
Policy envelope
Reasoning
Planner
Retriever
Model router
Action
Tool calls
Approval gates
Rollback paths
Record
Eval score
Audit trail
Cost ledger
8.4x
Average reduction in manual review time across recurring research and operations workflows.
41%
Lower model spend after policy-aware routing and cached retrieval memories are enabled.
0
Production actions without a signed trace record in audited deployments.
JanFebMarAprMayJunJulAug
No.
Workflow
What AIDRM controls
Signal
01.
Research agents
Source retrieval, citation quality, synthesis templates, and approval before publishing.
Knowledge work
02.
Support copilots
Answer boundaries, escalation rules, account context, and post-resolution evaluation.
Customer ops
03.
Finance workflows
Document extraction, variance explanations, audit traces, and separation of duties.
Back office
04.
Engineering assistants
Repo-scoped tool access, test evidence, review checkpoints, and deployment limits.
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