focus on
- Chaining models
- Chaining tools
PLATFORM · AI FLOW
Governed AI reasoning inside operational workflows.
XMPro AI Flow brings model reasoning, classification, summarisation, enrichment, structured outputs, and approved tool calls into visible Data Stream workflows.
- Context assembly
- Validation
- Routing
- Observability
- Governance
Industrial-grade Agentic Harness in Six Governed Stages
Switch tabs to see how the same six-stage flow adapts across five industries. Hover any node for its role, click for detail.
XMPro AI Flow — Oil Sample Classification
1. Data Ingress
Oil Sample Result
Lab system listener
Asset Context
Equipment service history
2. Context Assembly
Vector Search
Similar past samples
Graph Lookup
Equipment relationships & failure modes
Prompt Template
Versioned from template store
3. Assembly Model
Your LLM of choice cloud or on-premise
Assembly Model
Lightweight model
Fast & low-cost · structures context
Compresses and structures context for the reasoning model
4. Reasoning Model
Your LLM of choice cloud or on-premise
Reasoning Model
Frontier model
Advanced reasoning · makes the call
5. Output Guardrails
Confidence Gate
Threshold: 0.8
Schema Check
Required fields present
Low Confidence → Human Review
6. Action Routing
Write Classification
→ Maintenance system
Surface Recommendation
→ Operator dashboard
Observability — every node inspectable via Live View
Industrial AI workflows need more than prompts and tools.
General agent frameworks can connect prompts, models, tools, and workflow steps. Industrial operations need more control.
- Live operational data
- Trusted context
- Controlled tool access
- Structured outputs
- Validation
- Escalation
- Observability
- Evidence
AI Workflow Harness provides that governed workflow layer inside XMPro.
Put AI reasoning where the workflow can govern it.
- 01
Assemble context
Pull trusted operational context from Data Stream Designer and OCE.
- 02
Call approved tools
Call approved models, tools, APIs, and Data Streams.
- 03
Reason on content
Generate, classify, summarise, enrich, transform, or structure operational content.
- 04
Validate outputs
Validate outputs against required format, confidence, policy, and routing rules.
- 05
Route results
Send results to applications, workflows, humans, MAGS, XMPro FRS, Action Agents, or Decision Trace.
- 06
Preserve observability
Inspect what was used, produced, accepted, rejected, routed, or escalated.
Workflow reasoning is not the same as cognitive decision-making.
AI Workflow Harness governs model reasoning inside visible workflows. MAGS governs cognitive and collaborative operational decisions.
- 01
Data Stream Designer
Prepare operational signals.
- 02
Operational Context Engine
Supply trusted context.
- 03
AI Workflow Harness
State: GovernedGovern model use inside workflows.
When the workflow needs reasoning
- Summarisation
- Classification
- Enrichment
- Structured recommendation
- 04
Routes to
- Applications
- Workflows
- MAGS
- XMPro FRS
- Action Agents
When the use case needs decisions → MAGS
- Persistent objectives
- Reflection
- Planning
- Consensus
- Escalation
- Bounded action
- 05
Decision Trace
Preserve the evidence.
Boundary · Governance rule
AI Workflow Harness governs model use in workflows. MAGS governs cognitive decision loops.
Useful before full autonomy. Still governed enough for production.
- Classify
Incoming alarms, events, work orders, or exception records.
- Summarise
Operating context for a shift handover or engineer review.
- Enrich
An event with OCE context, asset lineage, and source priority.
- Convert
Unstructured operator notes into structured workflow inputs.
- Compare
A proposed response against policy, constraints, or procedure.
- Route
A recommendation to a human, advisor, simulation, or action path.
- Call
A Data Stream or approved tool to retrieve additional context.
- READY TO BUILD ONE? Scope an AI workflow with us Start with one workflow where AI can improve classification, summarisation, or routing while keeping governance visible.
Built into the governed operating path.
AI Workflow Harness is not positioned as a lightweight developer framework. It is a governed XMPro platform capability for industrial workflows.
focuses on governed operational workflow
- Trusted context
- Visible configuration
- Approved tool access
- Validation
- Routing
- Observability
- Production decision paths
Connected to the rest of the XMPro platform.
- OCE
Operational Context Engine
Supplies trusted operational context, identity, semantics, source priority, and lineage.
Explore - MAGS
Multi-Agent Generative System
Powers AI Assistants, AI Advisors, and Cognitive Decision Teams through governed Observe, Reflect, Plan, and Act loops.
Explore - XMPro FRS
Front-Running Simulations
Front-runs scenarios, constraints, and action intent before higher-risk production action.
Explore - Decision Trace
Audit trail
Records what context, reasoning, validation, routing, approval, simulation, action, and outcome occurred.
Explore
Bring AI into the workflow without losing control.
Start with a workflow where AI can improve classification, context assembly, summarisation, enrichment, routing, or structured recommendations while keeping governance visible.
