Agentic AI for finance teams that need control, not chaos.

Financial services teams face constant pressure to move faster while maintaining regulatory confidence.

Most AI initiatives stall because governance, ownership and auditability are not designed in from day one.

COMMON CHALLENGES WE SEE

Sound familiar?

Manual onboarding, KYC and compliance workflows slowing deal flow and adding operational cost.

Fragmented data across legacy systems making AI integration feel impossible before it starts.

Pilots blocked or stalled by risk, compliance or procurement before they reach production.

Pressure from boards and investors to demonstrate AI progress without a clear, defensible path forward.

How we work in regulated financial services.

1.

Governance First

Agentic systems designed with clear boundaries, human-in-the-loop decisions, and defined escalation paths. Compliance is not a constraint: it is part of the design.

2.

Auditability by default

Every agent we design includes explainability, audit trails and ownership. Your risk and compliance teams will not be surprised.

3.

Outcomes your board actually cares about

Efficiency gains, risk reduction, cost-to-serve improvement. We map AI opportunities to your real OKRs, not generic AI use cases.

4.

Internal capability, not dependency

We build your team's capability alongside the systems themselves. You leave equipped to own, iterate and extend what we build together.

We do not deploy black-box AI. We design systems finance leaders can defend.

WHERE WE FOCUS

Financial services is not a single sector.

The regulatory profile of a FinTech lender is different from a building society. A credit and collections business operates under different constraints than an asset manager. We understand these distinctions and design accordingly.

  • FinTech and lending platforms

  • Insurance and reinsurance

  • Asset management and wholesale finance

  • Credit, collections and debt management

  • Selected building societies and specialist finance

  • Sustainable finance

CASE STUDIES

Financial services organisations working with Zygens.

Three early engagements. Three different corners of regulated finance. The same outcome: a governed AI roadmap and a team ready to build.

Octopus Money

53 AI agents prioritised in six weeks.

Fleximize Logo

From AI curiosity to a clear, compliant roadmap.

Perch Capital

54 agents mapped to ambitious growth OKRs.

Ready to move from AI ambition to governed action?

The Discovery Programme is designed for financial services organisations that want to identify, prioritise and govern AI agent opportunities without stalling in experimentation or exposing the business to unnecessary risk.

Structured. Time-boxed. Board-ready output.