Business outcome
Use this capability only after the framework identifies a defined decision, task, exception, owner, and operating outcome that can be improved with assistance or controlled automation.
Services
AI & Decision Support · Business Workflows · AI
AI Agents & Agentic Platforms
Employees should not spend the day copying information between systems.
The goal is not AI autonomy for its own sake. It is to reduce repetitive handoffs across orders, documents, records, approvals, service, and exceptions while protecting human judgment. We begin with trusted data, explicit permissions, action boundaries, evaluation, and review points.
A strong fit when
- Routine exceptions, approvals, document reviews, and status questions consume time people need for higher-value work
- Important answers are buried across ERP records, documents, inboxes, and individual employee knowledge
- Teams see useful signals but cannot act on them consistently before the decision window closes
- AI experiments remain disconnected from the permissions, rules, evidence, and review steps required for real work
Why this service exists
Connect the technology decision to the work the manufacturing business must control.
System responsibility
AI uses governed business context, records, workflow boundaries, permissions, and evaluation rules to assist documents, knowledge, forecasts, exceptions, and decisions.
Ownership and control
The manufacturer must control the use case, approved evidence, permissions, action boundaries, review thresholds, audit history, vendor dependencies, and accountable human response.
01
The Problem
Manual work grows faster than the team can absorb.
AI problems begin when a model or agent is chosen before the business has defined the task, evidence, permissions, decision rights, review thresholds, and exception response.
What leaders see
Promising pilots do not become dependable operating tools.
The demonstration works, but real records, permissions, edge cases, monitoring, and ownership are not ready for daily use.
What is actually happening
The use case has no governed workflow boundary.
Inputs, allowed actions, confidence thresholds, human review, audit history, and failure handling remain unclear.
What gets worse
Automation scales uncertainty.
Faster output creates more review work or risk when the underlying records and decision rules cannot be trusted.
02
What changes
Make the operating responsibility visible and governable.
The goal is not AI autonomy for its own sake. It is to reduce repetitive handoffs across orders, documents, records, approvals, service, and exceptions while protecting human judgment. We.
01
Operating outcome
Employees should not spend the day copying information between systems.
02
Evidence and controls the use case needs
approved source records, workflow context, permissions
03
Decision and exception path
Which decision or task should improve, what evidence supports it, what the system may do, and where a person remains accountable.
04
Ownership and continuity
AI needs trusted inputs, explicit permissions, measurable use cases, human-control points, auditability, and a defined response when confidence or conditions fall outside approved boundaries.
03
Architecture
Build the service around the business record and decision.
Which decision or task should improve, what evidence supports it, what the system may do, and where a person remains accountable.
01Source record
02Governed connection
03Validation
04Business system
05Accountable owner
Evidence and controls the use case needs
approved source recordsworkflow contextpermissionsdecision thresholdsexceptions and review history
04
Engineering scope
What Metrotechs engineers for AI Agents & Agentic Platforms.
The exact scope follows the approved business objective, source records, dependencies, controls, and delivery sequence.
01
Commerce Agent
Supports buyer-facing work such as product questions, governed pricing, quote preparation, order intake, and confirmation. Responses and proposed transactions stay within approved records, rules, and review requirements.
02
Pricing & Margin Agent
Reviews approved market signals, cost inputs, and margin thresholds on the required cadence. It can recommend pricing actions, flag risk, and route proposed changes through the business's commercial rules and approval boundaries.
03
Demand Forecasting Agent
Reads approved demand, order, inventory, and supplier signals. It can generate reorder recommendations and flag risk while planners retain authority over purchasing and production commitments.
Related service04
Fulfillment & Routing Agent
Reviews order status, carrier events, and delivery commitments from approved sources. It can surface exceptions, recommend routing responses, and trigger permitted notifications while escalating decisions outside defined boundaries.
Related service05
Exception Resolution Agent
Classifies edge cases such as credit holds, substitution requests, freight changes, and approval escalations, then gathers evidence and routes each case according to defined authority.
06
Operations Intelligence Agent
Reviews approved operating signals such as order flow, workload, inventory, delivery, service, and margin, then surfaces anomalies and supporting evidence to accountable leaders.
05
Delivery sequence
From operating reality to a solution the business can own.
Workflow Audit
Map the repetitive workflows in scope — exceptions, approvals, data entry, and routing decisions. Identify where inputs, rules, outcomes, risks, and ownership are defined well enough to evaluate AI assistance.
Agent Design
Define the decision logic, data inputs, and action boundaries for each agent. Agents operate within governance rules — they do not make decisions outside their defined scope.
ERP Integration
Connect the workflow to approved ERP, OMS, WMS, pricing, or service records through governed interfaces. Read and write permissions are separated and limited to the actions the use case requires.
Controlled Deployment
Evaluate the workflow in a non-authoritative mode first, routing outputs to accountable reviewers. Enable permitted actions only after quality, policy, exception, and recovery gates are met.
Go-Live & Monitoring
Enable production use with audit logging for inputs, outputs, actions, approvals, and exceptions. Monitoring surfaces quality, policy, integration, and operating issues for accountable owners.
Continuous Improvement
Review production outcomes, exceptions, drift, policy changes, and user feedback. Proposed model or rule changes are tested and approved before they affect production behavior.
Related services and systems
Continue through the connected operating environment.
Use these connected services and references to understand the records, workflows, and systems surrounding this work.
06
FAQ
Questions to answer before implementation begins.
Clear answers for manufacturing leaders evaluating the work, operating responsibility, and delivery path.
We use the supported interface or a governed integration layer appropriate to the ERP and use case. The agent receives only the records and permissions it needs, and an ERP replacement is not assumed.