Real automations.
Measured results.
No invented numbers. Every result on this page comes from a real client engagement with before-and-after measurements we tracked ourselves.
FirstLight Bank
The Challenge
Processing 8,000+ loan applications monthly across 3 legacy systems — each requiring 45 minutes of manual data entry and verification per application. Staff were spending 6,000 hours per month on data transfer alone.
What We Built
We built a custom AI document processing pipeline that extracts applicant data from uploaded documents, validates it against credit bureau APIs, flags anomalies for human review, and posts verified records to all three systems automatically.
Get a similar result"We were skeptical that a solution this comprehensive could go live in under a week. The Forged Direxion team proved us wrong on day three."
— Head of Operations, FirstLight Bank
Measured Results
94%
reduction in processing time per application
R2.1M
saved annually in staff hours
99.7%
data accuracy (up from 91%)
3 days
to deploy the first automation
Nkosi Logistics
Automating 100% of customs documentation across 12 African ports
“Manual customs document preparation was causing 2–3 day delays at port. Each document set required data from 6 different internal systems.”
CareFirst Medical
Patient record digitisation and appointment scheduling at scale
“Physical patient records across 3 clinics needed digitising. Appointment scheduling was entirely manual, causing high no-show rates.”
Malunga Retail Group
End-to-end inventory replenishment across 240 stores
“Store managers were manually checking stock levels and placing replenishment orders — 8 hours of work per store per day, across 240 locations.”
Ubuntu Telecom
AI-powered customer churn prediction and retention automation
“High-value customers were churning with no early warning system in place. Retention campaigns were reactive and untargeted.”
Highveld Energy
Automated compliance reporting for 14 regulatory bodies
“Compliance reports for 14 separate regulatory bodies were produced manually each quarter — a 3-week project requiring 4 full-time staff.”
Imvula Capital
Portfolio data aggregation and investor reporting automation
“Monthly board reports required pulling financial data from 40+ portfolio companies in different formats. Production took 4 days every month.”
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