Applied AI
AI Integrations & Automation
We embed LLMs into the software you already run — grounded in your data, wrapped in guardrails, measured by evals. The result: hours of manual work turned into seconds of reliable automation.
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What we deliver
Built for outcomes, not just output
LLM features in your product
Summarisation, drafting, extraction and copilot features embedded natively in your existing app — model-agnostic, so you are never locked in.
RAG knowledge systems
Your documents, tickets and wikis turned into a grounded question-answering layer that cites its sources and knows when to say "I don't know".
Workflow automation
Multi-step business processes — intake, triage, data entry, reporting — run by agentic pipelines with human approval where it matters.
Evals & guardrails
Every AI feature ships with an eval suite, cost monitoring and output guards — so quality is measured, not assumed.
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Models in production
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Manual work automated
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Pipeline reliability
How we work
A process you can see working
Map the workflow
We shadow the real process and measure where the hours go — then pick the automations with provable payback.
Build grounded
Retrieval, prompts and fine-tuning against your domain data, with eval scores tracked from the first prototype.
Ship & measure
Rollout behind flags, cost and quality dashboards live, humans in the loop until the numbers say otherwise.
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Let's talk about ai integrations & automation.
Tell us where you are and where you want to be. We'll come back with a concrete plan — no jargon, no lock-in.