AI-native product strategy
Market discovery, proposition design, business models, pricing, product scope and roadmaps, supported by continuous agent-led research.
AI-native consulting for financial services
Build financial products with AI-native speed and regulated-grade judgement.
From opportunity and proposition to architecture, delivery and market launch. We work with fintechs, banks and regulated technology companies to move from market opportunity to regulated launch.
The approach
AI is embedded across the whole engagement.
The constraint on regulated delivery is rarely engineering capacity. It is the distance between evidence, decisions and the artefacts that prove them. Every engagement runs on a shared model of your product: agents keep it current, and senior practitioners stay accountable for what it says.
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Continuous research
Agents track markets, competitors, regulations and vendors for the full length of the engagement, and keep the findings current.
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Traceable by construction
Requirements, controls and architecture decisions stay linked, so a regulatory obligation can be followed to the control, the task and the evidence.
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Artefacts generated from the model
Specifications, test cases and delivery artefacts are produced and maintained from the shared model.
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Delivery under observation
Agents monitor dependencies, risks, decisions and execution drift, and raise them while they are still cheap to fix.
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The system stays with you
Client knowledge is captured in a private, reusable operating system that outlives the engagement.
Senior practitioners make the calls. The system makes sure nothing is lost between them.
Services
Product, technology, regulation and go-to-market handled as one problem.
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Product delivery
Requirements, operating models, vendor coordination, delivery governance and execution support, with agents maintaining artefacts, decisions, dependencies and quality gates.
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Go-to-market
Segmentation, positioning, partnerships, enterprise sales strategy, procurement readiness and launch planning, supported by account-specific research.
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Financial and security architecture
Architecture for payments, banking, ledgers, cash infrastructure, identity, devices, cloud platforms and encrypted systems.
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Regulation as executable controls
Turn regulation and supervisory guidance (DORA, PSD2, the EU AI Act, EBA technical standards, SOX) and assurance frameworks (ISO 27001, SOC 2) into system controls, delivery tasks, evidence and operating procedures.
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AI products and agentic systems
Private assistants, agentic workflows, embedded browsers, financial automation, sovereign AI platforms and human-controlled execution.
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Independent review and due diligence
Adversarial review of products, architectures, vendors, AI systems, delivery plans and commercial assumptions.
Sovereign capability
Sensitive work runs where it has to.
Not every financial institution can send its product model, controls or customer data to a public endpoint. Sensitive engagements can run in sovereign, private or local AI environments, under your own keys and inside your own boundary.
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Private, sovereign or local deployment
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Independent of vendors and implementation platforms
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Human-controlled execution, with every agent action reviewable
Start with the opportunity.
Bring us a product opportunity, a stalled programme or a decision you need tested. We will tell you what we would do, and whether you need us to do it.