Language models are good at reading unstructured text, classifying it, extracting fields and drafting responses. We identify tasks where that is genuinely useful, build the workflow around it, and add human review, logging and fallbacks so results stay dependable.
AI automation
Practical use of language models for reading, sorting, drafting and summarising work.
Ask about AI automationTypical deliverables. The exact list is confirmed in your proposal and Statement of Work.
Illustrations of the kind of work this covers — not descriptions of past client projects.
Businesses
Classify incoming enquiries, extract key details and create a task for the right person, with uncertain cases flagged for review.
Businesses
Pull structured fields from PDFs into a spreadsheet or database, with a check step before records are saved.
Businesses
Turn transcripts into structured notes and action lists stored in your workspace.
Individuals
Collect and summarise sources on a topic you follow, delivered as a weekly digest.
Review the process, volumes, data sensitivity and what 'good output' means.
Test the approach on real (or representative) samples and measure quality.
Connect to your tools, add review steps, logging and error handling.
Run alongside the existing process before relying on it.
Documentation, cost monitoring and optional ongoing tuning.
Examples of what we commonly use. We choose per project and don't imply partnerships with any vendor.
Most AI projects start with an automation audit so effort is directed at tasks where it is likely to pay off. Implementation is then quoted against a defined scope.
Teams that want to know where automation or AI would genuinely help before investing.
From £1,250≈ €1,500VAT added only where applicable
A defined process connecting known tools, such as onboarding or reporting.
From £3,000≈ €3,600VAT added only where applicable
Businesses wanting a knowledge assistant or task agent with defined limits.
From £8,000≈ €9,500VAT added only where applicable
Need something different?
If none of these fit, request a custom quote. Full package details are on the pricing page.
That depends on the provider and plan. We choose providers and settings that do not train on your data where that matters, and document the data flow so you can verify it.
We build an evaluation set from real examples, agree a quality bar with you, and measure against it before and after launch.
The evaluation set lets us re-test quickly. Support plans can include model updates.
Assistants that answer from your own knowledge and take defined actions in your tools.
Workflows that move data and tasks between steps without manual copying.
Reliable connections between the tools and data sources you already use.
Describe the task and roughly how often it happens. We'll tell you honestly whether automation is likely to help.