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PIE Process Intelligence Enterprise

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

01Agentic systemsReason, decide, and act across real enterprise work.
02PIE platformGoverns capabilities, approvals, and runtime evidence.
03Enterprise operationsConnects systems, people, data, and accountable action.

01Why 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.

02The platform difference

From fragmented work to governed operation.

01

Fragmented operations

Systems, decisions, and knowledge stay disconnected.

02

Isolated AI

Agents act without a shared operating model.

03

PIE

Intelligent, deterministic, and human work operate together.

03Evidence 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
Animated synthetic PIE execution trace showing an approved decision workflow running
Illustrative product animation · synthetic demo data · execution trace populating

04The GREAT standard

Enterprise AI should be GREAT.

The standard for governed Agentic AI on PIE.

G

Governed

Every agent, process, capability, and action operates within defined controls.

R

Risk-Tiered

Risk determines the level of controls, validation, and approval required.

E

Explainable

Context is preserved around what happened, which rules applied, and how an outcome was reached.

A

Auditable

The conceptual architecture is designed for execution, decision, capability, approval, and policy evidence.

T

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

05Illustrative 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

Evaluate 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