Documented results

Problems we solved. Numbers that prove it.

Three case studies from live systems. Each one documents the exact problem, what we built, and what the client measured after.

3 industriescovered
4–8 weeksaverage delivery
All systemsstill live today

AI automation case studies

E-commerce

Automated Lead Recovery System

Full case study

The problem

Lost 60% of abandoned-cart leads to slow manual follow-up

What happened

A Shopify brand was losing the majority of its abandoned-cart leads to slow manual follow-up. We replaced the manual process with a fully automated AI pipeline that personalises outreach and tracks recovery in real time.

The outcome

34% cart recovery rate — up from near zero with manual process

Measured results

Cart recovery rate34%
Hours saved weekly18 hrs
Time to deliver6 wks

Stack

n8nOpenAI APIShopifyWhatsApp Business
Legal

Client Intake & Document Intelligence

Full case study

The problem

3+ hours per day spent on manual intake and case routing

What happened

A 12-person law firm was manually reading every intake form, routing cases, and writing initial briefs — consuming three hours of billable-adjacent time every single day. We automated the entire intake flow with AI.

The outcome

Zero routing errors and 3 hours recovered daily — every day

Measured results

Hours saved daily3 hrs
Routing errors0
Time to deliver4 wks

Stack

Claude APINext.jsNotionSlack
Marketing Agency

AI Content & Reporting Pipeline

Full case study

The problem

No system to scale content production across 20+ clients

What happened

A digital agency managing SEO content for 20+ clients had no scalable production system. Every article and every monthly report was produced manually. We built a pipeline that handles both — automatically, every month.

The outcome

5× content output secured a $4.2k/month retainer contract

Measured results

Content output increase
Monthly retainer won$4.2k
Time to deliver8 wks

Stack

OpenAI GPT-4oNext.jsAirtableGoogle Search Console

How we document

Every metric here came from the client's own data

We don't estimate ROI upfront and hope it lands. We build the system, instrument it properly, and let the client measure what changes. The numbers above are what they reported back to us.

01

Diagnose the bottleneck

We spend time understanding the process before touching any tools.

02

Scope a focused system

One problem, one system. We don't bolt on features that weren't asked for.

03

Build and instrument

Every system includes logging and reporting so results are measurable from day one.

04

Hand off and document

The client owns the system. We leave full documentation and train whoever needs it.

Want a result like one of these?

Tell us what your process looks like. We'll tell you within 24 hours whether automation makes sense — and what it would take.