In an 8-week discovery we mapped 55 pain points across 10 departments, prioritised the projects worth building, and modelled the value an AI-native operating model would realise, up to a projected £112M revenue trajectory by 2030.
KSEYE had over £1bn in cumulative lending but manual processes created a natural ceiling. 55 identified pain points across 10 departments, monthly origination capped at £15-20m.
16 stakeholder interviews and 10 workshops, mapping current processes and prioritising 51 use cases by impact.
At the heart: a unified knowledge graph connecting customer data, Companies House records, credit bureau data, property valuations and compliance checks.

55 pain points across 10 departments, 51 use cases prioritised by impact.
A complete Target Operating Model with AI risk scoring, automated KYC/AML and agentic due diligence.
Four proof-of-concept builds confirming the technical approach.
Discovery closed with a prioritised build roadmap and a bottom-up value model: what each project costs to build, and the revenue and capacity it releases. Compounded over five years, an AI-native, SaaS-enabled operating model tracks to a projected £112M revenue trajectory by 2030.

“In just eight weeks, Brdge transformed our understanding of the business. They mapped every process, uncovered key inefficiencies, and designed a leaner, more scalable vision for KSEYE, using the right technologies to completely rethink how we operate.”
Enterprise ClientFinancial Services · KSEYETell us what you're trying to build. We'll come back to book a discovery call and scope what 'done' looks like.
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