Custom Software and Integration
We build the tools you need and connect your existing systems, including the connectors that let AI assistants reach your applications.
Tooling
The software built on top: integrations, internal APIs, agentic workflows and generative systems, each connected to the systems that hold the answer.
Tooling Deliverables
Internal APIs
We connect what we build so your other teams can communicate with it and extend it independently.
Agentic Workflows
We turn the multi-step tasks your team repeats into automated workflows under human oversight, so human effort goes to the judgement calls that matter.
Generative AI
We build the systems that generate content from your own material, such as voice and chat agents that handle customer contact, drafted text and documents, video, and reports that arrive already written, with the insights drawn out and in the register the audience expects. Each one is connected to the systems that hold the answer and held inside guardrails that set what it may say and when a person takes over.
Frequently Asked Questions
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The test of a dashboard is whether it changes a decision that would otherwise wait for the monthly pack. At Gini we build portfolio health monitoring that shows exposure moving as it moves, regulator-facing management information packs generated from model output rather than assembled by hand, and scenario sandboxes your team can run without a modelling request.
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The difference is what sits behind it. The tools Gini builds read from the model output and the risk data layer directly, so a provision, a risk weight or a limit utilisation on the screen is the same figure that reaches your committee pack. Where a BI layer has been rebuilt on top of extracts, that guarantee is what has usually been lost.
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At Gini we build a controlled interface onto your own models, one that lets an analyst change the assumptions that matter and see the effect, without waiting for a modelling run. It is used by the people who own the appetite rather than the people who own the models, which is the point: the question and the answer land in the same conversation.
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Yes, and it should. Gini generates the pack from the model output on the reporting date, so the narrative and the numbers cannot drift apart between the dashboard and the paper. Where a figure in the pack is a judgement rather than a model output, it is labelled as one.
