We integrate AI where it solves a real problem — not where it just looks impressive in a demo. Most of our AI work is feature-level integrations inside products we are already building: smart search, document extraction, recommendation engines, chatbots that actually know your data.

What we actually do

  • LLM integrations — OpenAI, Claude, Gemini. In-context learning and retrieval-augmented generation.
  • Document and data pipelines — extract structured data from PDFs, images, and forms.
  • Recommendation and classification — when you need the app to make a decision based on past behaviour.
  • Voice and audio — Whisper-based transcription and speaker identification.

When to use it

A good rule of thumb: if a smart person with 30 seconds could do the task by reading a few sentences, a language model can probably do it at scale. If it requires expertise or context that you cannot put in a prompt, we will tell you.

“We went from three manual review steps to one. The AI catches 90 percent of the cases. Humans handle the rest.”

Priya Mehta — Ops lead, DocuFlow