Workflow Automation

Stop Chasing Paper, Start Automating Workflows

Custom AI solutions built for your factory floor, not a generic SaaS product.

Industry Context

Manufacturing faces growing pressure from supply chain volatility, strict regulatory compliance (ISO, FDA), and an aging workforce with tribal knowledge gaps. Manual processes -- change orders, quality checks, inventory reconciliation -- create bottlenecks that ripple through production schedules. These problems compound in high-mix or just-in-time environments, where delays or errors directly hurt customer commitments and margins.

By the Numbers

43%

of manufacturing tasks involve manual coordination

McKinsey Manufacturing, 2024

20%

productivity gain from AI workflow automation

Deloitte Smart Factory, 2025

$3.7T

potential value from AI in manufacturing by 2030

McKinsey Global Institute, 2024

The Problem

What you're dealing with

Quality inspectors manually transcribing non-conformance reports from paper forms, delaying root cause analysis by days.

Production schedulers juggling Excel sheets and ERP alerts to reroute work orders after machine downtime.

Procurement teams cross-referencing supplier emails, spreadsheets, and ERP PO statuses to track inbound material delays.

Maintenance technicians relying on handwritten logs and memory to prioritize equipment servicing, leading to unplanned downtime.

The Solution

How it works

We start by mapping your actual workflows -- not the documented ideal. Our AI interviews your team to capture how work really gets done, including exceptions and workarounds. We then design a system that connects to your existing tools (ERP, MES, PLCs) and respects your operational constraints. Using our proprietary platform, we build and deploy a custom AI agent that handles tasks like data entry, exception alerts, and process routing. You get a system that works within your environment, trained on your data, without forcing your team to learn new software or change how they work. The result: less manual effort, faster processes, and insights that were previously buried in daily operations.

Arc

AI-driven process discovery and workflow mapping based on your team's actual practices

Wand

Custom AI agent development and deployment connected to your existing systems and data sources

In Practice

Before and after

Before

A machine operator notices a calibration drift, fills out a paper form, and leaves it in a supervisor's tray. The supervisor reviews it at end-of-shift, manually enters the issue into the CMMS, and assigns a work order. Maintenance addresses it 2-3 shifts later.

After

We built a custom AI system that monitors machine data feeds, detects calibration anomalies in real time, auto-generates a work order in the CMMS, and routes it to the right technician with context -- all within minutes.

1 Real-time data ingestion from machine sensors and logs
2 Anomaly detection using thresholds specific to your equipment
3 Automated work order creation and assignment in your CMMS
4 Notification to maintenance teams via existing comms channels (Teams, SMS)

6 weeks

From discovery to deployed solution

For a mid-sized automotive parts manufacturer automating quality non-conformance reporting

FAQ

Common questions

How is this different from buying a workflow automation SaaS?

We build a system specific to your tools, people, and processes. You don't adapt to software -- the software adapts to you. No licensing fees, no forced upgrades, no features you don't need.

What if our ERP/MES is outdated or custom-built?

We work with what you have. Our systems connect to legacy tools, homegrown software, and even paper-based processes -- we've built integrations for everything from SAP to handwritten logs.

How long until we see results?

We typically deliver a working prototype in 2-3 weeks, with full deployment in 6-8 weeks. Speed comes from our internal tooling, not shortcuts on customization.

Who maintains the system after deployment?

We provide full support and iteration. You own the system, but we handle updates, monitoring, and changes -- like a dedicated tech team without the overhead.