Customer-facing assistants
Support, discovery and FAQ bots that answer from your actual content — product catalogues, help docs, policies — and hand off cleanly to a human when they should.
Cairn Labs · Services · AI
AI without the hype.
Everyone's talking about AI. We help you cut through the noise, find the use cases that will actually move your business, and build them in a way that lasts.
What we build
AI that earns its place in your business.
Not demos. Not experiments that never ship. Use cases with a clear problem, a measurable outcome, and data underneath them that you actually trust.
Customer-facing assistants
Support, discovery and FAQ bots that answer from your actual content — product catalogues, help docs, policies — and hand off cleanly to a human when they should.
Document & content intelligence
Extract, classify and summarise at scale — contracts, reports, emails, reviews. Turn unstructured text into structured signals your data platform can actually use.
Workflow automation
AI in the middle of the processes your team repeats daily — routing, tagging, drafting, summarising — so time goes on the decisions that need a human, not the admin around them.
Built by Cairn Labs
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Data Q&A for Power BI
Ask plain-English questions and get answers straight from your Power BI semantic model — DAX generated on the fly, no numbers invented, no analyst bottleneck.
How we work
Start with the problem, not the technology.
Most AI projects fail because they start with the model and work backwards. We do it the other way — find the real problem first, then decide whether AI is actually the right tool.
01
Discover
We map your data landscape and talk to the people closest to the problems. We're looking for friction, waste and decisions that are being made on gut feel when they shouldn't be.
02
Prioritise
Not every pain point needs AI. We score use cases by impact, feasibility and data readiness — and give you an honest view of what to build now, what to build later, and what to skip.
03
Build & verify
We build with guardrails from day one — grounded responses, source citations, human review where it matters. No hallucinations dressed up as features. No black boxes you can't explain.
Hype vs reality
What AI can and can't do for you.
Honest answers save everyone time. Here's how we think about it.
| The claim | The reality |
|---|---|
| "AI will replace your analysts" | AI removes the repetitive parts of analytical work — data wrangling, formatting, first-pass summaries. Good analysts become faster and more strategic, not redundant. |
| "Just connect it to your data and it works" | AI is only as good as the data underneath it. Clean, well-modelled, trusted data is the prerequisite — not an afterthought. This is why we start with data. |
| "You need your own model" | Almost never. Fine-tuning and RAG patterns on top of foundation models deliver most business outcomes faster and cheaper than building from scratch. |
| "It can answer anything about your business" | It can answer questions your data can answer. If the data doesn't exist or isn't trusted, the AI will either refuse or guess — and guessing is worse than not having it. |
Tools & models
Model-agnostic, outcome-focused.
We pick the right model for the job — not the one that's generating the most noise this week.
Foundation models
Claude (Anthropic)
GPT-4o
Gemini
Llama
Patterns & architecture
RAG
Prompt engineering
Fine-tuning
Agents & tools
Frameworks
LangChain
LlamaIndex
Semantic Kernel
Infrastructure
Azure OpenAI
Anthropic API
Vertex AI
AWS Bedrock
Search & retrieval
pgvector
Azure AI Search
Pinecone
Qdrant
Guardrails
Source grounding
Output validation
Human-in-the-loop
Evals & testing
Not sure where AI fits in your business?
That's the most common starting point. Tell us what you're trying to do and we'll give you a straight answer on whether AI can help — and if so, how.
Start a conversation