Invixa is built for UK SMEs with 10–249 staff and £1M–£36M turnover, handling 50–500 invoices a month — typically with no dedicated fraud team. Invoice-heavy sectors with complex supply chains see the most value first.
High subcontractor turnover, complex supply chains, and frequent new suppliers create ideal conditions for shell-supplier fraud and circular billing — exactly the pattern Invixa's graph layer is built to catch. Property and construction consistently rank among the sectors most targeted by SME scams.
High invoice volume, fast supplier onboarding, and thin finance teams mean manual checking simply doesn't scale. New-supplier and amount-anomaly checks are most valuable here, where one missed fake invoice can slip through quickly.
Distributed approvers, remote teams, and email-based invoice handling create more opportunities for invoice and mandate fraud — fraudsters posing as a regular supplier and asking for a "small" change to bank details.
Lean finance functions across any sector benefit from a second pair of eyes that never gets tired of checking the 400th invoice of the month — and that explains itself in plain English when it does flag something.
Big enough to have real invoice volume, too small for an in-house fraud team.
Enough transaction volume that manual review is a genuine time cost.
Too many to check by hand reliably, not yet enough to justify an enterprise platform.
The segment most invoice-AI vendors don't build or price for at all.
We're onboarding a small number of UK SMEs in construction and recruitment as free design partners — helping us build the first real labelled evaluation set in exchange for early access.