Case Studies

What we build.
What it delivers.

Five systems built for real industries — each one showing the baseline problem, what we shipped, and projected outcomes from the design.

5
Systems built
3–5 wks
Avg delivery
< 90s
Fastest response time
91%
RAG eval accuracy
All Case StudiesOutcomes are projected based on system design & industry benchmarks
01
Real Estate · Lead Generation

From 8-hour response to 90 seconds

Real estate agencies lose deals every day to faster competitors. We built a full capture-to-qualify-to-book system for this industry that responds instantly, qualifies automatically, and hands off to agents only when a lead is ready.

WhatsApp Business APIn8nClaude APIHubSpotCalendly
Delivered in 3 weeks→ View solution

Projected Outcomes

< 90s
Response time
was 6–8 hrs
+38%
Qualified leads
projected vs. manual
14 hrs/wk
Admin saved
per agent

Projected outcomes based on industry benchmarks and system design.

02
Automotive · Booking Systems

Automated car rental & sales booking system

Car rental and used car dealerships spend hours manually managing booking requests, availability checks, and follow-ups. We built an end-to-end AI booking system for this sector that handles enquiries, checks live availability, sends confirmations, and chases abandoned bookings — 24/7 with zero staff intervention.

n8nWhatsApp Business APICalendly APITwilio SMSPostgreSQLClaude API
Delivered in 4 weeks→ View solution

Projected Outcomes

+52%
Bookings converted
vs. manual process
< 2 min
Response time
was 3–6 hrs avg
20 hrs/wk
Staff hours saved
on booking admin

Projected outcomes based on automated booking system benchmarks.

03
Marketing Agencies · AI Chatbot

Ads Pingu — AI reporting chatbot for ad agencies

Paid advertising agencies spend too much time answering client reporting questions. Ads Pingu is an AI chatbot built for this industry — it connects to Google and Meta Ads APIs, generates plain-English performance summaries, and answers client questions 24/7, freeing account managers from repetitive reporting calls.

Claude APIGoogle Ads APIMeta Ads APINext.jsPostgreSQLResend
Delivered in 5 weeks→ View solution

Projected Outcomes

74%
Reporting queries deflected
handled by AI
+28%
Client satisfaction
faster answers
−8 hrs/wk
AM time saved
per account manager

Projected outcomes based on chatbot deflection rate benchmarks.

04
Healthcare · Operations

Eliminating manual reminder calls in primary care

Primary care clinics spend thousands per month on manual appointment reminders. We built an automated reminder and rescheduling system for this sector with a full audit trail — designed to meet healthcare compliance requirements from day one.

Twilion8nGoogle Calendar APIPostgreSQLSlack
Delivered in 4 weeks→ View solution

Projected Outcomes

−14 pts
No-show rate
22% → 8%
2.5 hrs/day
Admin saved
per location
+61%
Reschedule fill
vs. manual

Projected outcomes based on healthcare automation benchmarks.

05
SaaS · Custom AI Development

RAG knowledge base — 40k docs, 91% accuracy

SaaS teams waste hours re-answering the same internal questions. We built a RAG system designed for this use case — 40,000+ document indexing with source citations, a weekly eval harness, and both Slack and web UI interfaces.

Claude APIPineconePythonFastAPISlackNext.js
Delivered in 4 weeks→ View solution

Projected Outcomes

−67%
Internal tickets
60/wk → 20/wk
< 30s
Resolution time
was 4.2 hrs
91%
Eval accuracy
measured fortnightly

Projected outcomes based on RAG system benchmarks at this document scale.

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