The operating platform for enterprise Agentic AI
Agentic AI built to
operate at enterprise scale.
PIE™ governs how AI agents reason, decide, call tools, collaborate, and act across enterprise systems—with controls, approvals, and evidence embedded at runtime.
Operational Agentic AI, governed by PIE.Governed · Risk-Tiered · Explainable · Auditable · Traceable
PIE operating model
Why PIE
Enterprise AI earns trust when the system that acts can be understood, controlled, and evolved.
PIE makes that operational.
One operating platform connects intelligent action to enterprise context, approval, and evidence.
The platform difference
From fragmented work to governed operation.
Fragmented operations
Systems, decisions, and knowledge stay disconnected.
Isolated AI
Agents act without a shared operating model.
PIE
Intelligent work, deterministic logic, and human judgment operate together.
Evidence follows execution
Every consequential action needs an account of what happened.
PIE retains the context behind the run—so an outcome can be understood after the fact.
Explore the control plane
Case study · OpenAI × Hugging Face
Incident analysisWhen intelligent agents exceed their authority.
A PIE governance analysis of a publicly disclosed incident asks a different question: not only what an agent can do, but what it is authorised to do in the moment.
The study examines unapproved coordination, scope expansion, credential exposure, and the evidence needed to understand an action after the fact.
The GREAT standard
Enterprise AI should be GREAT.
The standard for governed Agentic AI on PIE.
Governed
Every agent, process, capability, and action operates within defined controls.
Risk-Tiered
Risk determines the level of controls, validation, and approval required.
Explainable
Context is preserved around what happened, which rules applied, and how an outcome was reached.
Auditable
The conceptual architecture is designed for execution, decision, capability, approval, and policy evidence.
Traceable
Lineage connects intent to process, process to capability, action, and outcome.
Governance isn’t something PIE adds to AI.
It’s how AI runs on PIE.
Explore the GREAT standard Illustrative workflow
Trade-finance reconciliation
Use the right kind of intelligence at the right point.
PIE can coordinate agentic reasoning, deterministic logic, and authorised human judgment in one governed flow.
01
System
Receive documents
Invoices and supporting trade documents enter through an approved channel.02
Agent
Extract and interpret
An approved agent extracts relevant fields and context from the submitted documents.03
Connector
Retrieve records
A governed connector obtains authorised lending, transaction, purchase-order, or ledger data.04
Decision
Reconcile deterministic fields
Explicit rules compare amounts, currencies, dates, counterparties, identifiers, and tolerances.05
Agent
Investigate ambiguity
An agent assembles an evidence-backed explanation for non-deterministic discrepancies.Agentic + deterministic + human
See the use cases Beyond the platform
Enterprise AI EngineeringFrom AI ambition to governed production.
Enterprise AI Engineering applies Nu10’s architecture, evaluation, governance, and deployment discipline to production AI systems.
Work within your existing environment, or use PIE as the operating foundation for governed agentic execution.
Explore Enterprise AI EngineeringEvaluate the platform
See how PIE governs Agentic AI from
capability to enterprise outcome.
Explore the platform, then see the operating model in action.
Book a PIE Demo