Enterprise AI, made
Provable, Intelligent, Executable.
PIE™ governs how AI agents reason, decide, call tools, collaborate, and act at enterprise scale—linking intelligence to controlled execution and verifiable runtime evidence.
PIE operating model
The PIE promise
Enterprise AI needs evidence, governed intelligence, and controlled execution.
PIE makes those conditions operational.
One enterprise system connects evidence and controls to intelligence and execution.
The platform difference
One system for provability, intelligence, and execution.
Provable
Set the terms of action
Controls, approvals, risk context, and scope establish what may happen before work begins.The operating record expands with each established layer.
Provable
Set the terms of action
Controls, approvals, risk context, and scope establish what may happen before work begins.Intelligent
Reason in context
Agents, decisions, knowledge, and human judgement stay connected to the enterprise situation.
Executable
Act through approved pathways
Processes, capabilities, tools, and enterprise systems carry approved work forward.
Evidence retained
Keep the record
Runtime context, evaluation, approval, and change remain available for review after execution.
Why PIE
Capable agents are not enough.
When intelligent action reaches enterprise systems, the question is who may act, under which conditions, and what record remains.
Understand the differenceWhat an agent or tool could do.
AuthorityWhat it may do in the current business and risk context.
EvidenceWhat remains available for review.
Provable by design
Every consequential action needs a record of what happened.
PIE retains run context so the basis for an outcome can be reviewed after execution.
See the control planeCase 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.
Thought leadership
What if the enterprise itself could behave like software?
Explore Nu10’s proposition for increasingly executable operating models—and the conditions that make capability invocation governable.
The GREAT standard
Enterprise AI should be GREAT.
The operating standard that makes PIE’s governance promise concrete.
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 is not an add-on to intelligence.
It is how PIE operates.
Read the GREAT standard Executable intelligence
Trade-finance reconciliation
Use the right operating mode at the right point.
PIE can coordinate agentic reasoning, deterministic logic, and authorised human judgment in one executable operating flow.
System
Receive documents
Invoices and supporting trade documents enter through an approved channel.Agent
Extract and interpret
An approved agent extracts relevant fields and context from the submitted documents.Connector
Retrieve records
A governed connector obtains authorised lending, transaction, purchase-order, or ledger data.Decision
Reconcile deterministic fields
Explicit rules compare amounts, currencies, dates, counterparties, identifiers, and tolerances.Agent
Investigate ambiguity
An agent assembles an evidence-backed explanation for non-deterministic discrepancies.Beyond the platform
Enterprise AI EngineeringFrom AI exploration to enterprise operation.
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 system for governed agentic execution.
See Enterprise AI EngineeringEvaluate PIE
See how PIE takes AI from
capability to enterprise action.
Review the platform, then see the operating model in action.
Book a PIE Demo