AI agents that run your operations without manual intervention.
Most manufacturers are still running workflows that require a person to touch every exception, every order, every routing decision. AI agents eliminate that bottleneck — not by replacing your people, but by handling the work that was always below their pay grade.
Manual Workflows Don't Scale With Your Volume
Service Scope
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.
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.
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.
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.
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.
Monitors your entire operation — order flow, inventory levels, fulfillment performance, margin trends — and surfaces anomalies, risks, and opportunities to leadership before they become problems.
Engagement Process
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.
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.
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.
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.
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.
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.
Frequently Asked Questions
Every engagement starts with an assessment.
Not a proposal. Not a sales call. We tell you what we find, not what you want to hear. The Launchpad assessment maps your operation before any software work begins.