Enterprise AI IMP™ — the governed runtime for your data platform

The Runtime

IMP™ — the Intelligence Management Plane

A vendor-neutral, model-agnostic, cloud-agnostic control plane built for enterprise data platforms. Peripheral agents never query systems of record directly — they ask the IMP™. It constructs, governs, and routes context on every hop.

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↑ Agent Layer

Peripheral Agents · per BU

AML · CDS · Prior Auth · Research · SaaS

request context · traced output

Layer 03 — Control Plane

IMP™ Intelligence Management Plane

Conductor · CCE™ · OPA · CGL™ · Memory · Governance Cycle

pull (MCP) · push (CDC/Kafka)

↓ Enterprise Data Platform

AI services · governance · catalog · open formats

CRM · EHR · Core Banking · Warehouse · Lakehouse

Components

Six layers of governance substrate

Every component maps to a stage of the Continuous AI Governance Cycle and enforces one or more of the 10 Agent Governance Principles.

Conductor

Conductor Layer

Routes work along least-cost pathways across any agent framework — Gemini, Claude, GPT, Llama, or custom models on your enterprise data platform.

CCE™

Context Envelope

Structured payload assembly — not raw rows. Sanitizes PII/PHI, applies retention rules, and creates auditable context packages for every model call.

OPA

Policy Engine

Access, retention, and PII rules enforced per call. Blocks rogue agents, intercepts policy violations, and routes exceptions to human reviewers.

CGL™

Cost Governance Layer

Surfaces True Cost of Compute across teams and agents. Flags Cost Drift™ before the invoice — the view that unlocks CFO budget.

Memory

Unified Memory

Working + episodic memory with cross-BU governance. Clearance boundaries ensure agents only access context they're authorized to see.

Cycle

Continuous AI Governance

Six-stage closed loop: Monitor → Detect → Investigate → Remediate → Validate → Improve. Every cycle makes IMP™ smarter.

With / Without IMP™

See the difference governance makes

The Agent Execution Theater demonstrates the same scenario twice — with IMP™ governing every tool call, and without. The contrast is immediate: policy intercepts, audit chains, cost caps vs. invisible compliance risk.

✓ AML wire investigation → governed SAR draft with citations
✓ Without IMP™ → PII leaves the enterprise perimeter unchecked
✓ Full audit ledger vs. zero regulator-visible record

See it in a demo →

WITH IMP™ WITHOUT

▸ Policy gate · PASS

▸ Envelope sanitized · 14,280 → 4,200 tokens

▸ Cost · $0.042 · within budget

▸ Audit entry · chain intact

▸ Direct tool call · no intercept

▸ Raw PII in prompt · gpt-4o-mini

▸ Audit ledger · empty

Deployment

Deploy how you want

Every path delivers the same IMP™ governance. Choose who holds the keys, where data runs, and how strictly workloads are isolated.

SaaS

Multi-tenant or single-tenant managed IMP™ — fastest path to governed agents without operating infrastructure.

T1 Multi-TenantT2 Single-Tenant

Virtual Private Cloud

Dedicated VPC on AWS, Azure, or Google Cloud — your data stays in your cloud account with full IMP™ governance.

T3 Dedicated VPC

On-Premises

Sovereign and air-gapped options for regulated workloads — govern agents where data and policy require on-site control.

T4 Sovereign

Talk through your deployment tier →

The missing layer isn't another model. It's the governed runtime.

See IMP™ in a live demo — or start with a discovery call to map your first governed use case.

Request a Demo Free Discovery Call