Case Studies

AI Strategic Assessment

We found the leak. He fixed it himself.

Karim Dahmani asked us to find where AI and automation would pay back in his US direct-to-consumer ecommerce business. Seven years of order data, 23,351 orders, showed a structural revenue leak he did not know he had: roughly one in three orders never completed, at the same rate through his best trading period as through the downturn. Within weeks he had shipped the two highest-priority fixes himself, working from the Blueprint, and had us design the third system down to the data model.

Orders analysed
23,351
Order history
7 years
Mature orders never completed
32.6%
Fixes live within weeks
2
AI Strategic Assessment
Revenue leak analysis
Payment funnel diagnostics
Opportunity scoring
ROI modelling
Blueprint to build in weeks
Full platform build

AI guest experience platform, zero to production in 26 days

Hostigram lets a host load everything they know about a property, event or group, print a QR code, and let guests get instant answers in their own language with no app and no login. Praxail was brought in to take an MVP that proved the idea and turn it into a business that could actually be sold and operated. The architecture, the data model, the pricing and packaging, and the legal and compliance layer were all redesigned from zero. Twenty six days later it was live in production, orchestrating more than twenty integrated services behind a single streaming interface, and it has been running there since.

Zero to production
26 days
Integrated services
20+
Automated tests
2,500+
Security & compliance
Pen tested
MVP to production
Multi-tenant SaaS
Prompt engineering
Systems integration
Security & GDPR
AI cost control
Shared inbox automation

AI inbox copilot for a small accountancy firm

Monitors a shared Outlook inbox, classifies every incoming client email, decides if a reply or follow-up action is needed, and drafts or sends responses grounded in the firm's knowledge. The team went from manually triaging >50 client emails a day to reviewing high-quality drafts, one-click approvals and focusing on edge cases.

Emails triaged / month
1,500-2,400
Time saved / month
~50h
Replies auto-drafted
≈70%
LLM calls avoided
-40% vs naive
Classification
Priority routing
Responder
Knowledge Base
Multilingual
Metrics & Tracking
No Training
Outbound lead generation

Multi-vertical podcast booking engine

Engineered a multi-niche outreach system that identifies qualified podcasts across four distinct verticals (AI systems, spiritual coaching, business & entrepreneurship, and mompreneur), crafts host-specific pitches referencing recent episodes and guests, classifies every reply with AI, and drafts on-brand responses using lane-aware voice selection. Across 2,400 outreach emails the campaign delivered a 15% reply rate (3x industry average) with over half of all replies expressing genuine interest in booking.

Reply rate
15%
Positive reply rate
55.56%
Pipeline generated
$600k-$1M
vs. industry avg
3× higher
Multi-niche outreach
Reply classification
Lane-aware AI drafting
CRM pipeline
Booking detection
4 audience verticals