One scope difference in Google OAuth can trigger a CASA security audit costing $15k and 8 weeks delay.
Engineering AI tools for enterprise means architecting around compliance bottlenecks before they block rollout.
Clients think email automation is a 2-node Zapier flow. Then Outlook threading breaks because of dropped RFC headers.
Production automation is rarely about the model. It's about boring protocol specs and state preservation.
Met with a $5M+ engineering firm doing 300 projects/mo. The founder wanted an advanced multi-agent AI setup.
Walked through the operations: the actual bottleneck was just manual email triage and data handoffs.
We can build the fancy stuff too, but only if it's needed.
17,140 podcasts in a database.
Built a matching engine that scores relevance, reach, and performance, delivering a ranked media plan in 60 seconds instead of days of manual spreadsheet lookups.
50 hours a week of manual prospecting per rep replaced by 30-second lead lists.
Built an outbound pipeline with buying triggers and enrichment so the sales team spends their time selling instead of researching.
4,140 podcasts in a database. A matching engine that replaces two days of manual spreadsheet work with a 60-second ranked media plan.
If your team is querying internal data by hand, you already have the data layer. You just need the logic layer on top.
I ran hardstyle events in Sweden 20 years ago. Burned out in 2013. Spent a decade figuring out what all that chaos was actually for.
41 now, building AI systems. Turns out organizing 3,000 people in a warehouse is decent training.
Most of the AI builds I ship are just connection layers. Messy CRM data on one side, structured workflows on the other.
The companies already have the tools. They just don't talk to each other yet.
An engineering firm president was reading 150 emails a day. Every single one.
We built an inbox agent that compresses them into 2 daily digests and flags RFPs in minutes.
Client on a discovery call: "We need AI to do everything."
Translation: their board mentioned AI twice last quarter and now it's urgent.
The actual problem is almost always someone copy-pasting between two tabs for three hours a day.
Most companies buying AI right now don't need a custom model.
They need someone to connect their CRM to Claude, automate 3 workflows in n8n, and stop paying a contractor $4k/month to copy paste between tabs.
The boring AI work is where all the money is.
@agentskills_ai The problem with this is that when it breaks they have no idea how to open the console. So you need VA repairman to do troubleshooting and support.