Payment, collections and investment-product integrations
Idempotent, reconciled tool calls: the exact property an agent needs before it can touch money.
Work
Since 2013 we have shipped websites, internal applications, integrations and SaaS for organisations across education, digital health, financial services, logistics, construction and hospitality. Our founders have built financial systems, payment and collections integrations and high-throughput gaming platforms. That rigour is exactly what complex AI transformations now demand.
Organisations we have delivered for
Then → now
Most failed AI projects do not fail on the model. They fail on data, integration, identity and operations, the work we have been doing for over a decade.
Idempotent, reconciled tool calls: the exact property an agent needs before it can touch money.
Knowing where the real business process lives is the first step in deciding what an agent should automate.
Agents are integrations with a probabilistic client. Contracts, retries and error handling matter more, not less.
Keeping each customer’s data separate, and metering what each one uses, is what keeps AI features safe and profitable.
Structured, owned, machine-readable content is the raw material for grounded retrieval and agent-readable knowledge.
Latency budgets, observability and capacity planning: the same disciplines that keep inference costs under control.
Featured
Grounded AI answers, an agent-safe MCP server and Open Knowledge Format exports, running on Azure Container Apps behind Front Door. Our reference architecture for client work.

In two to three weeks, our AI readiness assessment gives you a score across six areas, your risks ranked by impact, a target architecture and a costed 90-day roadmap.