How We Automated 40% of Our Own Operations (And What We Learned)

The wake-up call

In late 2023, we had an uncomfortable realisation: we were selling AI solutions to clients while our own operations were still largely manual. Ticket routing was manual. Reporting took hours. Client onboarding involved a 15-step checklist that someone had to track in their head.

We decided to stop being hypocrites and start automating our own processes first.

What we automated

Ticket routing and triage

Before: Every ticket landed in a shared inbox. Someone had to read it, figure out the priority, assign it to the right engineer, and update the status. This took 10-15 minutes per ticket.

After: Incoming tickets are automatically categorised by type and urgency, assigned to the right team member based on skill set and availability, and clients get an immediate acknowledgment with a realistic timeline.

Result: Ticket routing time dropped from 10-15 minutes to under 30 seconds.

Weekly reporting

Before: Every Friday, someone spent 3-4 hours pulling data from multiple systems, formatting it into a report, and sending it to clients.

After: Reports are generated automatically from live data, formatted consistently, and delivered to clients on schedule.

Result: 3-4 hours saved weekly. Reports are also more accurate because they're not manually assembled.

Client onboarding

Before: 15-step process tracked in someone's head. Steps were occasionally missed. The experience felt inconsistent.

After: Automated workflow triggers each step in sequence. Nothing gets missed. Clients get a consistent, professional onboarding experience every time.

Result: Onboarding time reduced by 60%. Zero missed steps since automation.

Monitoring alerts

Before: We received hundreds of alerts daily, most of which were noise. Engineers wasted time investigating non-issues.

After: AI filters alerts based on patterns, suppresses known noise, and only escalates genuine issues. False positive rate dropped significantly.

Result: Engineers spend their time on real problems instead of chasing phantoms.

What we learned

Start with the most painful process, not the most impressive one. We wanted to build something flashy first. Instead, we started with ticket routing — boring but painful. The immediate time savings gave us momentum (and credibility with the team).

Automation exposes bad processes. When we tried to automate client onboarding, we realised the process itself was broken. We had to fix the process first, then automate it. This is normal and valuable.

Your team needs to be part of the journey. We involved our engineers from day one. They identified the pain points, tested the automations, and suggested improvements. Adoption was natural because they built it with us.

40% is a milestone, not the finish line. We're still finding new things to automate. The goal isn't 100% automation — it's freeing people to do work that actually requires human judgment.

Why this matters for you

We only recommend what we've proven works. Every AI solution we offer to clients has been tested on our own operations first. When we say workflow automation saves 15+ hours a week, that's not a sales pitch — it's our own experience.

Want to see what 40% automation could look like for your business? Let's talk.