What leaders see
Routine work still waits for individual follow-up.
Documents, orders, approvals, alerts, and exceptions remain trapped in inboxes and personal work queues.
Services
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 manufacturing handoffs across orders, documents, records, approvals, and exceptions while protecting human judgment. We begin with trusted data, explicit permissions, defined rules, and review points.
01
The Problem
Manual work grows faster than the team can absorb.
Automation problems begin when a tool is introduced before the normal path, exception path, decision rights, evidence, and human-control points are explicit.
What is actually happening
Rules and ownership are not executable.
Inputs, thresholds, approvers, escalation, evidence, and closure conditions vary by person or situation.
What gets worse
Automation scales an undefined process.
Work moves faster without becoming more reliable, explainable, or accountable.
02
What Changes
What AI Agents & Agentic Platforms includes.
The goal is not AI autonomy for its own sake. It is to reduce repetitive manufacturing handoffs across orders, documents, records, approvals, and exceptions while protecting human judgment. We begin with trusted data, explicit permissions, defined rules, and review points.
01
Commerce Agent
Handles buyer-facing transactions — product configuration, pricing, quote generation, order entry, and confirmation. Buyers get instant, accurate responses. Your sales team handles relationships, not administration.
02
Pricing & Margin Agent
Monitors market signals, cost inputs, and margin thresholds in real time. Adjusts pricing dynamically, flags margin risk, and enforces pricing rules across every channel — without manual intervention.
03
Demand Forecasting Agent
Reads sales velocity, seasonal patterns, supplier lead times, and external demand signals. Generates reorder recommendations, flags stockout risk, and adjusts purchasing before the problem hits the warehouse floor.
Related service04
Fulfillment & Routing Agent
Monitors order status, carrier performance, and delivery windows in real time. Re-routes exceptions, triggers customer notifications, and resolves fulfillment issues without a human touching the queue.
Related service05
Exception Resolution Agent
Catches the edge cases — credit holds, substitution requests, freight changes, approval escalations — and resolves them through rules-based reasoning. Handles what used to fill inboxes.
06
Operations Intelligence Agent
Monitors your entire operation — order flow, inventory levels, fulfillment performance, margin trends — and surfaces anomalies, risks, and opportunities to leadership before they become problems.
03
How It Fits Your Operations
How AI Agents & Agentic Platforms fits your operation.
Workflow and Exception AutomationWhich repeatable work can move automatically, which decisions require review, and how exceptions are assigned and closed.
Governance dependencyAutomation needs stable rules, trusted inputs, accountable owners, human-control points, and a defined response when conditions fall outside the normal path.
Work, decisions, and evidence involved
requests
documents
approvals
alerts
exceptions and audit history
What must be defined before engineering begins
- What the business needs to change and why.
- Which systems, records, risks, and readiness gaps shape the work.
- What should be built, how it fits the architecture, and in what order.
Related Services and Planning
What the operating problem may require next.
Follow the dependencies behind this service instead of treating it as an isolated project.
01
Integration Engineering
Connect the records, events, and systems required to execute the workflow.
Explore next step02
Operational Analytics
Measure workload, exception patterns, ownership, and operating outcomes.
Explore next step03
Custom Software Engineering
Build the workflow capability packaged tools cannot provide cleanly.
Explore next step04
Launchpad assessment and Roadmap
Use Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Define the smallest sound response and delivery sequence.
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
Metrotechs designs, builds, integrates, and supports the approved solution.
Launchpad is available when the engagement needs assessment evidence, a Roadmap, and ongoing delivery governance.
04
Delivery sequence
How Metrotechs delivers AI Agents & Agentic Platforms.
The goal is not AI autonomy for its own sake. It is to reduce repetitive manufacturing handoffs across orders, documents, records, approvals, and exceptions while protecting.
01
Workflow Audit
Map every manual workflow that represents a bottleneck — exceptions, approvals, data entry, routing decisions. Identify which ones are high-volume, rules-driven, and safe to automate.
02
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.
03
ERP Integration
Connect agents to your ERP, OMS, WMS, and pricing systems so they read and write live operational data. Agents that cannot access real data cannot make accurate decisions.
04
Controlled Deployment
Deploy agents in shadow mode first — they process real workflows but route outputs to a review queue before taking action. You validate accuracy before live autonomy is enabled.
05
Go-Live & Monitoring
Enable live operation with full audit logging. Every agent decision is recorded — what it saw, what it decided, what it did. Monitoring dashboards surface anomalies immediately.
06
Continuous Improvement
Agent logic improves over time as edge cases are identified and decision rules are refined. We operate the agents post-deployment and tune them against production outcomes.
05
FAQ
Questions that usually decide the scope.
Straight answers to what operators ask before committing budget to this work.
We build direct integrations to ERP through its integration API, and to legacy ERP systems through Python-based middleware in the cloud. Agents read and write live operational data without requiring an ERP replacement or upgrade.