Prompt Engineering & LLM Integration.
Get dramatically more value from the AI tools your team already uses — through expert prompting, custom integrations, and knowledge base systems built on your own data.
Book a Free LLM ConsultationThe difference between an AI tool that wastes time and one that transforms productivity is often how it’s prompted.
Most organizations using ChatGPT, Copilot, or Claude are getting a fraction of the value they could be — because the prompts are generic, the integration is shallow, and there’s no system connecting the AI to your actual data and processes.
We fix that. Expert prompt engineering, custom integrations, and RAG systems that let AI answer questions using your own knowledge base — so the AI knows your business, not just the internet.
Quick facts
From better prompts to full LLM integration.
How a prompt engineering engagement works
A prompt engineering and LLM integration engagement typically runs 3–5 weeks once started. It is designed for organizations that already pay for ChatGPT, Copilot, Claude or Gemini but are getting generic, inconsistent results.
Audit current use
On a free 30-minute call, then in short interviews, we find out which AI tools you pay for, where outputs fall short and whether there are any rules today on how staff use AI.
Pick priority use cases (week 1)
We choose the tasks where better AI output would save the most time, such as drafting, summarizing, analysis or customer replies, and collect real examples of current results.
Design and test prompts (weeks 1–3)
We write and test prompts using techniques such as few-shot examples and chain-of-thought, and build simple evaluation tests so quality is measured rather than judged by feel.
Integrate with your data
Where generic answers are the problem, we connect the model to your own documents using RAG, or embed it into existing workflows and systems, so outputs reflect your business.
Library, training and governance
Your team receives a shared prompt library, hands-on training and a short governance framework on acceptable use, so good practice spreads beyond the few people who were already experimenting.
What it costs
Prompt engineering is quoted as a fixed fee based on the number of use cases, integrations and people to be trained. We work on fixed fees, not hourly rates: one price, a defined scope and a timeline, agreed before anything starts. If the work takes us longer than planned, that is our risk, not yours, and any change in scope is re-quoted before the next phase rather than added to an invoice.
The main things that move the price are:
- The number of use cases and teams in scope
- Whether RAG or system integration is needed, or prompts alone
- The number of staff to train and the training format
- Whether evaluation tests and a governance framework are included
We normally invoice prompt engineering and LLM integration work half at the start and half on delivery (40/30/30 for bigger scopes), in CAD. A short brief is all we need to return a fixed-fee proposal within 48 hours.
Get a fixed-fee proposalCommon questions
Is prompt engineering worth paying for if our staff already use AI?
It usually is when results vary from person to person. A shared, tested prompt library and a few hours of training can turn scattered experiments into consistent output across a team.
What is RAG and do we need it?
Retrieval-augmented generation lets an AI model look up your own documents before answering. You need it when the model must answer from your policies, products or past work rather than from general knowledge.
Can you improve how our team uses Microsoft Copilot?
Yes. Copilot optimization is part of this service. We write prompts for the tasks your team does most in Word, Outlook, Excel and Teams, and check that the data Copilot can see is appropriate.
How do you measure whether prompts have improved?
We build evaluation tests from real examples of the task and score outputs before and after the changes. That makes quality visible and stops prompts drifting when models are updated.
Which AI models do you work with?
We work with GPT-4, Claude, Gemini and Microsoft Copilot, and we choose based on your existing licences, your security needs and the task, rather than favouring one vendor.
Getting enough value from your AI tools?
Book a free consultation — we’ll show you exactly how much more you could be getting from the AI tools you’re already using.
Book a Free LLM Consultation