Real systems we've built
A cross-section of engagements across insurance, lending, distribution, and manufacturing, from week-long focused tools to full multi-tenant platforms. Named with our clients' permission.
Vehicle valuations ran through a multi-step manual workflow spread across four separate systems. Slow to produce, and easy to get wrong.
We replaced it with a single cloud valuation platform that ingests the valuation data, normalises and visualises it, and generates the digital valuation certificate automatically.
systems, consolidated into one
Orders, stock, and deliveries lived in a spreadsheet moving 500 tonnes a month, with re-keying at every step and no link to the accounting system.
We built AI purchase-order ingestion, a customer ordering portal, and an internal ordering, stock, and delivery workflow engine, integrated with accounting. The spreadsheet was retired.
less manual work
Purchase orders arrived as unstructured documents and were reconciled against stock by hand. Slow, and error-prone at volume.
We built AI order ingestion that extracts the order data, matches and reconciles it against live product and stock data, and pushes validated orders straight into their operational systems.
less manual work
Loan origination depended on manual client and document handling, with every submission read and captured by hand.
We built an AI-native origination workflow with client and document management, and AI extraction and parsing of every loan document submission.
faster origination
manual rep logging
Sales rep intelligence over WhatsApp
faster claims processing
Short-term insurance
onboarding, down from 14
Financial advisory
"Most automation vendors understand technology. Weeva understands financial services. That's a rare combination, and it shows in how fast their solutions actually embed. The compliance understanding alone sets them apart."
"We'd tried automation before with generic providers. Weeva was the first team that actually understood the compliance constraints we operate under. The difference was night and day."
The inefficiencies you've accepted as normal don't have to be.
or, send us a brief description of what you're trying to solve.