Generic AI content is everywhere, and document-heavy back offices still lose hours to manual extraction and re-keying. We build the pipeline that turns raw input — documents, transcripts, data — into polished, on-brand output, calibrated to sound like you and grounded in your own information.
From raw input to polished output
- Long-form articles, product and service copy, email sequences and social content — including localised Spanish and German versions
- Invoices, contracts, delivery notes and forms — extracted, classified and routed automatically to your accounting, ERP or CRM system
- Summaries and structured records generated from documents and transcripts
Corporate knowledge, generated responsibly
Where the goal is internal knowledge rather than published content, we build corporate LLMs with role-based permissions and full audit trails — sales sees pricing and playbooks, legal sees contracts, support sees scripts, all generated and retrieved with source traceability.
Every content pipeline also includes an editorial review stage: outputs above a confidence threshold move through automatically, and flagged pieces surface for an editor or compliance reviewer before anything ships.
Who it's for
Marketing teams scaling content output without adding headcount — typically with an existing library of 20+ pieces for brand calibration — and finance, legal, logistics or healthcare operations processing 50+ documents a week by hand.
Related case study
A multilingual legal team's contract review throughput improved 11× with an AI copilot that reads and summarises documents before partner review.
Read CS/02 — Contract review copilot ↗