AI for the enterprise
Models that read and write language, code and images, available as APIs or inside tools you already use.
Large language models (LLMs) are trained on huge amounts of text and follow instructions: summarise this contract, draft a reply, classify this ticket, write this code. Most enterprises use them through a cloud platform or enterprise plan that keeps data private and out of training.
The main choices are which model (quality, speed and cost), how to ground it in your data, and whether to buy a packaged assistant or build on the API. Many organisations use several models for different jobs.
Frontier models through an API, or open-weight models you host.
Clear instructions plus your own data in context.
Azure OpenAI, Bedrock or Vertex AI for security and scale.
Test sets that score quality before and after every change.
Typical ranges, not quotes. Scope, data and team size move them most.
Ask a question in plain words and get an answer from your own documents, with sources.
AI that doesn't just answer but acts: looks things up, fills in forms and completes tasks across systems.
Run AI reliably and responsibly: deployment, monitoring, risk controls and compliance.
Compare IT service companies with sourced, labelled facts, or post your project and get matched.
