Results That Speak
Case Studies
Real systems, real businesses, real numbers.
Healthcare
Busy clinic facing manual patient intake overload
Problem
A busy clinic was drowning in patient intake admin. Before every consultation,
nurses manually collected full patient histories — hours wasted on repetitive data entry,
staff burning out from the monotony, and patient throughput hit a hard ceiling.
Solution
We built an AI chatbot that conducts a structured pre-consultation interview,
collects symptom data and images, and delivers a clinical summary before the patient walks
in. The system replaced hours of manual triage with a 5-minute patient-completed form.
Challenge
We found that healthcare demands zero tolerance for error. We built a multi-step
dynamic chat interface with strict anti-hallucination architecture, made it compliant with
NZ health privacy law, and had it penetration-tested to ensure data security.
Results
The clinic freed up 50% of their triage workload,
saving over $50,000 per year in labour costs while improving patient experience. The system
paid for itself in less than two months.
0%
Triage workload reduced
$0
Saved per year
0x
ROI
Digital Publishing
Publisher stuck at a hard content output ceiling
Problem
A digital publisher was stuck at 25 articles per month despite clear SOPs and a
growing team. Work was stalling somewhere in the pipeline, but they had no visibility into
where or why.
Solution
We applied Theory of Constraints to model their editorial production. We built a
real-time operational dashboard that surfaced bottlenecks as they emerged and gave the team
a shared view of what was blocking progress.
Challenge
We needed to capture reliable metrics without adding admin burden — and we had
to frame the tool as a team asset, not performance surveillance. The dashboard became a
source of empowerment, not oversight.
Results
Content output quadrupled to 100 articles per month.
The site grew to 1.8 million monthly visitors and $230,000 in annual profit, all without
adding more writers.
0x
Content output
0M
Monthly visitors
$0
Annual profit
Career Coaching
Career coach limited by manual job matching at scale
Problem
A career coach was manually researching job opportunities for every client —
hours per candidate, every week. It was too slow to scale, and too many candidates were left
to do the legwork themselves.
Solution
We built an AI pipeline that retrieves, normalises, and scores job listings
against each candidate's weighted preferences, then auto-tailors a resume for every match.
Candidates now receive curated opportunities, not raw job boards.
Challenge
We needed a per-candidate configurable system that could handle 60–70
simultaneous candidates. We built in detailed logging and a decision dashboard for rapid
troubleshooting when preferences changed or edge cases emerged.
Results
The coach now serves 70+ candidates per month,
delivering over $500,000 in cumulative customer value. What once required manual hours per
candidate now runs automatically overnight.
0+
Candidates/month
$0
Customer value served
Marketing Agency
Agency dependent on unreliable VAs for lead generation
Problem
A marketing agency relied on virtual assistants for lead generation, but even
the best VA produced inconsistent results. The owner was stuck in fulfilment, lead flow was
unpredictable, and growth had stalled.
Solution
We built a Meta Ad Library scraper that finds, qualifies, enriches, and
personalises outreach automatically. Leads go straight to the CRM with custom messaging. The
client just reviews and hits send.
Challenge
We had to translate stringent qualifying criteria into automated logic using
Meta data, Instagram profiles, and AI-driven web research. The system needed to replicate
human judgment at scale.
Results
The system delivered positive ROI on day one and
eliminated VA dependency completely. The owner went from spending hours on lead research to
reviewing qualified prospects in minutes.
Day 1
Positive ROI
Zero
VA dependency
Business Operations
Growing business drowning in contractor invoice reconciliation
Problem
A growing business processed hundreds of invoices each month from global
contractors. Inconsistent formats, days of manual reconciliation, and errors still slipping
through to payments. The finance team was underwater.
Solution
We built an AI invoice parser that extracts and validates data against Airtable,
then auto-populates a Wise batch payment template. One CSV, one click to pay everyone.
Challenge
We found that global contractors used inconsistent naming and bank details
varied by country. We leveraged Wise's email-based payment feature so contractors could
self-serve their own details, cutting out per-country complexity entirely.
Results
The system saves 40 hours per month and eliminated
payment errors entirely. What once took days of manual work now happens in minutes with 100%
accuracy.
0
Hrs saved monthly
100%
Payment accuracy
Education
Education provider bottlenecked by LMS enrolment admin
Problem
An education provider was manually reconciling CRM and LMS records following a
complex multi-branch SOP. The process was error-prone, painfully slow, and completely
unscalable as enrolments grew.
Solution
We built desktop browser automation that replicates the full SOP using
Playwright. The system logs in, applies decision logic, enters records, validates data, and
updates the source sheet — all without human intervention.
Challenge
We discovered the LMS had strong anti-bot measures that blocked standard
automation. We iterated through evasion techniques and bundled the tool as a native desktop
application to ensure reliable execution.
Results
The system achieved 100% task accuracy and
eliminated the admin bottleneck completely. Staff went from spending hours on data entry to
simply reviewing automated enrolments.
100%
Task accuracy
Zero
Admin bottleneck