PIE™ · Process Intelligence Enterprise™
The governance and orchestration layer for every AI agent in your enterprise
Humans design and oversee. AI executes. PIE™ turns a described business process into a running agentic system that is governed, explainable, audit-ready, and covers both AI and human steps.
Make Enterprise AI FAST & GREAT
From description to system
Describe your process. PIE™ builds the system.
Speak it, type it, or upload a BPMN diagram, flowchart, or SOP. PIE™ reads the process structure and assembles the agentic system automatically.
Input
Speak or type the process
“Run a full buy-side diligence on the target company — extract financials, assess legal risk, draft IC memo, get analyst sign-off.”
Or upload a process artefact
A BPMN diagram, flowchart, or SOP document. PIE™ reads the process structure — sub-steps, roles, decision points — and builds the agentic system from it automatically, in hours.
PIE™ engine
- Parses the process into structured steps
- Identifies AI, HITL, and decision requirements
- Selects and binds capability providers
- Wires API connectors and MCP servers
- Applies governance policies and risk tiers
- Generates audit and traceability framework
Output
AI Agents
Reasoning, extraction, analysis & generation
HITL Gates
Human review & approval workflows
Decision Nodes
Business rules & conditional routing
MCP Servers
Tool integrations & capabilities
API Connectors
External system integrations
Audit Layer
Immutable logs & full traceability
Architecture
Six layers. One integrated system.
Every component needed to automate a real business process — assembled, wired, and governed together.
AI Agents
Reasoning & execution
Purpose-built agents handle extraction, analysis, assessment, drafting, and reconciliation. Each agent is versioned, policy-bound, and capability-contracted.
Human-in-the-Loop
Approvals & oversight
Structured review gates with candidate-group routing, form-field capture, and decision recording. Humans stay in command at every risk checkpoint.
Decision Nodes
Rules & routing
Business rule engines and conditional gateways route workflows based on data, risk scores, or human decisions — no hardcoded logic outside the process.
MCP Servers
Tools & capabilities
Model Context Protocol servers give agents real tools — web search, document processing, databases, calculation engines — integrated and governed.
API Connectors
Systems integration
Pre-built and custom connectors link PIE™ to your ERP, CRM, WMS, data warehouses, and reporting platforms — data flows both ways.
Audit Mechanisms
Traceability & compliance
Every step, every agent call, every human decision is captured in an immutable, timestamped log. Full lineage from trigger to output.
Governing philosophy
GREAT by governance. FAST by design.
Governed
Every agent and process operates under defined policies, roles, and approval gates — no ad-hoc AI execution.
Risk-Tiered
Processes are classified by risk level. High-risk steps trigger mandatory human review before proceeding.
Explainable
Step-by-step reasoning traces make every AI decision interpretable to analysts, auditors, and leadership.
Auditable
Full immutable run history — who triggered it, what ran, what was approved, what changed — on demand.
Traceable
End-to-end lineage from data input to final output, across every agent, every tool call, every human touch.
Flow-Orchestrated
Processes run as orchestrated flows, not disconnected prompts.
Adaptable
Change a step, a policy, or a model without rebuilding the system.
Structured
Steps, roles, and data contracts are explicit and machine-readable.
Testable
Every process and agent can be versioned, replayed, and validated.
Use case
Buy-side diligence, run on PIE™
A single natural-language instruction triggers a fully governed, multi-agent workflow.
“Run a full buy-side diligence on the target company — extract financials, assess legal risk, draft IC memo, get analyst sign-off.”
- 01AI Agent
Extract Financials
Agent reads data room docs — P&L, balance sheet, cap table — and structures outputs.
- 02API Connector
Benchmark vs. Peers
Connects to sector databases; pulls comparable transactions and trading multiples.
- 03HITL Gate
Analyst Review
Analyst receives structured findings, flags issues, approves or escalates.
- 04Decision Node
Legal Risk Route
If red flags detected → route to legal stream; else → IC memo drafting.
- 05AI Agent
Draft IC Memo
Agent drafts the investment committee memo using approved findings and firm templates.
- 06Audit Layer
Immutable Record
Every step, agent, decision, and approver logged with full lineage for the committee.
Governed diligence run complete — IC-ready memo, full audit trail, analyst sign-off captured, zero manual hand-offs.
Deployment & economics
On-prem and cloud ready, with full AI cost visibility
On-premises deployment
- Full data sovereignty
- Client data never leaves your infrastructure — zero egress to third-party clouds.
- Air-gap capable
- Deploy in isolated environments with no public internet dependency.
- Compliance-ready
- Architecture designed for regulated sectors. Audit logs stored locally.
- Bring your own LLM
- Connect self-hosted models (Llama, Mistral, private Azure endpoints) or use our managed inference layer.
- Kubernetes native
- Helm-chart deployment on any cloud or bare-metal k8s cluster. Scales horizontally.
AI cost & consumption visibility
- Token-level granularity
- Track input and output tokens at every step, every run, per agent, per process.
- Cost attribution
- Allocate AI spend to business functions, teams, engagements, or individual workflows.
- Budget guardrails
- Set per-process or per-agent spend caps. PIE™ halts execution and alerts on breach.
- Model comparison
- Compare inference costs across models for the same process step.
- Executive-ready reporting
- Exportable cost dashboards that integrate with your financial reporting and BI stack.
Ontology & Knowledge Studio
Your enterprise knowledge, available to every agent
Agents are only as good as the meaning and knowledge they are grounded in.
Ontology Studio
Define the entities, relationships, and concepts unique to your business — and make them machine-readable for every AI agent.
- Entity modelling
- Model your core domain objects with typed attributes and semantic relationships.
- Semantic grounding
- Agents query the ontology at runtime to resolve concepts into precise operational actions.
- Cross-process consistency
- One shared vocabulary across every generated process.
Knowledge Studio
Curate, govern, and inject your operational knowledge — regulations, policies, SOPs — into every agent.
- Governed knowledge sources
- Upload and version internal documents; control which agents access which sources.
- RAG with provenance
- Every retrieved answer cites a specific document version and revision date.
- Dynamic context injection
- Attach the right knowledge to the right step — agents get exactly what they need.
Agent management
One control plane for every AI agent you run
PIE™-native, partner-built, or third-party — existing AI investments are preserved, not replaced.
Governance & risk-tiering for every agent
- Set policies, thresholds, and permissions once — enforced on every agent call
- Risk-tiered execution routes exceptions to the right reviewer automatically
- External and third-party agents wrap into PIE™'s governance layer instantly — no rebuild
Granular cost visibility, step by step
- Per-step token and cost tracking, not just totals
- Attribute AI spend by business unit, process type, or client
- Per-agent budget guardrails that halt and alert before costs spiral
Unified agent registry & lineage
- Versioned catalogue of every agent with full run history
- Manage agents built anywhere — PIE™-native, partner-built, or third-party
- Every call, input, output, and approval logged immutably for auditors
Bring one process. See it governed.
In a technical deep-dive we take a real process of yours and show how PIE™ parses, builds, governs, and audits it.