Automation is not about replacing people. It's about giving your people back the hours they spend on work that a well-built system could do better, faster, and without error. We've been building those systems since 2006. The AI tools available today have made us significantly faster at it, and opened up categories of automation that weren't practical before.
Years in Production
Since 2006. Fortune 15 first client. Every industry on this page, in production.
Your Team Is Doing Work That Shouldn't Require a Human.
Think about the last time someone on your team spent a significant part of their day on something a computer could theoretically handle: pulling a report, copying data between systems, routing a document to the right place, reconciling billing records, sending status updates based on system events.
These tasks don't require judgment. They require consistency and accuracy, which is exactly what humans are bad at when performing repetitive work at scale. Errors accumulate. Delays compound. Staff turnover means re-training. And the cost is invisible because it's baked into your headcount, not surfaced as a line item.
The deeper problem: most organizations don't know exactly how much time is lost this way, because the people doing the work have adapted around it. The workarounds have become invisible. We find those hours. Then we take them back.
“Think about the last time someone on your team spent a significant part of their day on something a computer could theoretically handle: pulling a report, copying data between systems, routing a document to the right place, reconciling billing records, sending status updates based on system events.”
A common situation we hear in discovery
Find It, Map It, Automate It.
A structured process built from 20 years of doing this work.
Process Discovery
We audit your current workflows at the level of what actually happens: who does what, when, with what data, and what they do when something doesn't match. Most automation projects fail because they automate the documented process, not the real one. We automate the real one.
Automation Design
We design the automation architecture: what triggers what, how data flows, what exceptions need human escalation, and what the failure mode looks like. Before building anything, you see exactly what will run and under what conditions.
Build & Integration
We build workflows using n8n, AI agents, custom API integrations, and Open Claw as appropriate. Integrations connect to your existing systems. We don't require you to adopt new platforms to make automation work.
Testing & Monitoring
We test against real data, including edge cases and exception scenarios. Every automated workflow includes monitoring and alerting. Go-live includes a parallel run period where automated and manual processes run simultaneously until confidence is established.
What You Get
Concrete outcomes from every engagement.
Measurable Hours Recovered
We document the time cost of what we're automating before and after. You can see exactly what the automation is worth.
Error Elimination
Automated processes run with the same logic every time. No transposition errors. No skipped steps because someone was in a hurry.
Connects to What You Use
We integrate with your existing CRM, ERP, billing system, EMR, or whatever combination of tools your business runs on.
Exception Handling
Cases that require human judgment are routed to the right person without the whole workflow stopping.
Documentation & Maintainability
Every automation is documented so your team understands what runs, when, and why. We don't build black boxes.
Technologies We Use
Tools selected for fit and reliability, not to pad a capabilities list.
Automation Platforms
AI & Agents
Integration
Infrastructure
A Representative Scenario
How this type of work plays out in practice.
The Situation
A DFW-based pharmaceutical distributor was processing incoming inventory and compliance documentation through a manual review workflow: emails received, attachments extracted, data entered into their system, documents filed, exceptions escalated. The process involved multiple staff members and took an average of 2–3 hours per day, with a documented error rate that required downstream reconciliation.
What We Did
Built an automated intake workflow that monitors the shared inbox, extracts structured data from incoming documents using AI-assisted parsing, validates against business rules, routes exceptions to staff for review, and files documents automatically. Built on n8n with custom integrations into their existing systems.
The Result
The 2–3 hour daily manual process now runs in under 15 minutes, unattended. Exceptions that genuinely require human review are flagged and routed appropriately. Staff were redeployed to higher-value work. Error-related reconciliation time dropped significantly.
Common Questions
Things clients typically want to understand before starting a conversation.
Find Out What We'd Automate First.
Tell us about your team's most time-consuming manual processes. We'll review them, identify the highest-ROI automation opportunities, and give you an honest assessment of what's practical.