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Generative AI

Generative AI development services

Answers grounded in your own documents.

An assistant that reads your policies, product sheets and contracts before it answers, shows its sources, and says "I don't know" instead of guessing — built on the model that fits the job, and swappable later.

  • Docs assistant $6,900
  • Live in 3–5 weeks
  • Not used to train anyone's model
Placeholder: documents assistant answering with a cited source
What it costs

Three ways to put generative AI to work.

Docs assistant
$6,900

Answers from YOUR documents — policies, product sheets, contracts — with citations.

  • Grounded in your approved documents
  • Every answer shows its source
  • 3–5 weeks
Get a quote
GenAI workflow
from $12,000

Typically to $35,000.

  • Generation wired into a business process
  • Quotes, reports or product copy, with review steps
  • 5–8 weeks
Get a quote
Custom platform
Quoted

A dedicated generative AI product, scoped from a blank page.

  • Multiple models and workflows
  • Your own interface
  • Scoped in a call
Book a scoping call
How it actually works

It reads your documents before it answers.

Before it answers anything, the assistant searches your approved documents — policies, product sheets, past proposals, whatever you give it — and builds its answer from what it finds there, showing you which document it used. That keeps answers grounded in your material instead of whatever the open internet happens to say, and means updating an answer is usually as simple as updating the document.

Model choice

The best model for the job, not the one in the headlines.

GPT, Claude, Gemini or an open model like Llama — we choose per job on quality, cost and privacy, and build the assistant so the model sits behind a swappable layer. When a better or cheaper option shows up next year, which happens often in this field, moving to it is a configuration change, not a rebuild.

Privacy & behaviour

Your documents train nothing but your own assistant.

Your data is never used to train anyone else's model — not ours, not the model provider's. Where it matters, we keep everything inside your own cloud using Azure OpenAI or AWS Bedrock rather than sending it to a shared third-party API.

  • Every answer links back to the document it came from
  • A question outside the approved documents gets "I don't know" or a handoff, never a guess
  • A human review step before anything customer-facing or consequential goes out
  • A monthly review of unanswered questions, so the document set keeps improving

Get a free proposal for your generative AI project.

Send a few details and a senior engineer — not a salesperson — will come back within one business day with questions, a recommendation and a price.