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AI integrations
Models, retrieval, and automation in your workflows, clear UX, observability, and governance baked in.
Approach
We optimise for usefulness and safety together, thin slices that prove value before you scale spend and scope.
Features that save time: summarisation, classification, routing, and copilots grounded in your data.
Evaluations, logging, and human-in-the-loop patterns so quality improves with every release.
Access control, redaction, and deployment choices aligned to your risk profile.
Use cases
Pick a beachhead that earns its keep, then expand into adjacent workflows with shared foundations.
Assistants over your docs and tickets, with citations, escalation paths, and tone that matches your brand.
Drafting, extraction, and routing across CRMs, inboxes, and ops tools without fragile one-off scripts.
In-app experiences that respect roles, tenancy, and context, not a generic chat bolt-on.
Structured signals from unstructured inputs: summaries, labels, and alerts your team can act on.
Governance
The non-negotiables we bake in before prompts ever reach production traffic.
Related
Most AI features ship alongside product surfaces, APIs, and acquisition pages, expand scope without changing studios.
FAQ
Straight answers before you integrate models and automation into production.
Bring use cases, data constraints, and compliance needs, we will propose an incremental path to value with clear evaluation gates.
