Forward deployed engineers across e-commerce and legal. We embed, build AI systems, and stay to run them. See the proof →
This is one capability within our forward deployed model. See our live engagements →
Fintech & Financial Services

We haven't deployed in fintech yet. Here's what we'd bring.

Our current focus is e-commerce and legal. That's where our proof is. But the capabilities we deploy — AI agents, marketing automation, cloud cost reduction, operations tooling — apply to fintech too. Our founder was CTO at IG Group (FTSE 250), so we understand the domain. We just haven't run a margin improvement programme in it yet.

Honest Position

We have no fintech margin improvement engagements. The £6.4M in value creation, the 119 EBITDA-tracked initiatives, the +77% pricing revenue — that's all from e-commerce. We won't dress up transferable skills as fintech expertise.

What we do have: a founder who was CTO at IG Group (FTSE 250 — trading, CFDs, derivatives), so we understand regulated environments, FCA compliance, and fintech cost structures from the inside. And the operational problems are the same everywhere: cloud costs running unchecked, manual processes consuming headcount, SaaS vendors that could be replaced with in-house AI, and work that agents can handle.

Transferable Capabilities

These are things we deploy in e-commerce and legal today that would apply directly to fintech.

01

AI Agent Deployment

We build and operate purpose-built AI agents — for compliance monitoring, reconciliation, report generation, DevOps, and customer service. Each replaces manual processes. We deploy them and run them ongoing. The same forward deployed model we use in e-commerce, adapted for your environment.

How we deploy agents →
02

Cloud & Infrastructure

We audit every workload and move what doesn't need premium cloud to dedicated servers. At one e-commerce client: £38K/month to £15K/month, zero downtime. The same methodology applies to fintech infrastructure — keep trading and risk engines on premium, move everything else.

How we cut cloud costs →
03

Headcount Optimization

Automate the work before removing the role. We've saved £1.13M/year across 33 initiatives at one engagement. In fintech, this would mean automating compliance workflows, reconciliation, reporting, and back-office operations that consume skilled headcount.

How we approach headcount →
04

SaaS Vendor Replacement

We replaced £120K/year in SaaS tools with in-house AI systems at one client. Fintech businesses typically run expensive compliance, monitoring, and analytics vendors that could be built in-house for a fraction of the cost. The company owns everything — no ongoing licence fees.

See our proof →

See where we're operating now.

Our proof is in e-commerce and legal. If you think the forward deployed model could work for your fintech business, start by reading what we've actually done — then book a call.