Knowledge and Document AI
Search, summarise and answer questions over policies, research, contracts and client files, always with citations to the source.
Edinburgh's financial firms, data teams and public sector suppliers need AI they can justify to clients, regulators and boards. We design, build and govern AI systems that are accurate, secure and explainable.
> rocksoft ai --explainable --audited --secure // EdinburghEdinburgh combines one of Europe's largest centres for asset management and insurance with one of the most respected university computing communities in Europe and a strong public sector presence. Organisations here rarely ask whether AI is clever. They ask whether it is right, whether it is fair, and whether someone can explain its decisions.
That is the standard we build to. Every Edinburgh AI project starts with a clear statement of purpose, the data allowed, the people affected and how outcomes will be checked. We favour approaches that can be explained, such as retrieval with citations or models whose drivers can be shown, over black boxes where the stakes are high.
We also document as we go: data sources, testing results, known limitations and monitoring plans. That documentation supports your own governance, data protection impact assessments and, where relevant, obligations under the EU AI Act if you serve European clients.
The result is AI that passes internal scrutiny and still saves real time. For background, see Machine learning consulting in the UK and Cloud security for businesses.
Responsible AI means you can say what the system is for, what data it uses, how accurate it is, who checks it and how people can challenge its output. It is not a separate project. It is a set of design choices and records that sit inside every AI build we deliver.
Search, summarise and answer questions over policies, research, contracts and client files, always with citations to the source.
Models that flag unusual transactions, claims or behaviour for investigation, with the reasons shown to the analyst.
Demand, staffing and pricing forecasts that account for festival season and the quieter months.
Accessible, explainable AI features with the documentation public buyers increasingly ask for.
Model cards, risk assessments, testing reports and monitoring plans for AI you already use or plan to build.
AI connected to your existing platforms, then monitored for accuracy and drift over time.
| Control | What it means | Why it matters |
|---|---|---|
| Data minimisation | The AI sees only the data it needs | Reduces privacy risk and supports UK GDPR |
| Source citations | Answers link to the documents they came from | Staff can verify before acting |
| Evaluation sets | Accuracy measured on real, representative cases | Evidence for boards and auditors |
| Bias checks | Results compared across relevant groups | Helps prevent unfair outcomes |
| Human oversight | People review high-impact decisions | Accountability stays with your organisation |
| Monitoring | Ongoing checks for drift and errors | Quality holds up as data changes |
We agree the use case, affected people, data and risk level.
Data access approved, approach chosen with explainability in mind.
Working version tested for accuracy and fairness on real cases.
Documentation, sign-off, integration and staff guidance.
Scheduled reviews, drift alerts and improvement cycles.
We support organisations in the city centre, Leith, Edinburgh Park, Quartermile and across the Lothians and Fife, and clients elsewhere in Scotland. Work runs remotely on UK time with workshops by video.
Edinburgh clients often pair AI with software development in Edinburgh and digital marketing in Edinburgh.
Yes. We review current use, document purpose and data flows, test accuracy where possible and recommend controls. Many firms start here before building anything new.
It can, if you place AI systems on the EU market or their output is used in the EU. We help you understand which category your use falls into and what documentation that implies. Legal advice should come from your lawyers.
For most business uses, yes. We choose techniques that show sources or key factors, and we design interfaces that present the explanation alongside the result.
In UK or EU regions, in accounts you control where possible, with AI providers whose business terms exclude training on your data.
A short consultation to understand your goals, followed by a purpose and risk workshop. You receive a written recommendation and a fixed price for the next stage.
Arrange a consultation and we will help you decide where AI fits, how to govern it and what a sensible first project looks like.