Specialist AI solutions
Data products for document understanding, recommendations or forecasting when standard tools are not enough.
Who this service is for
For organisations with proprietary data and a strategic AI use case beyond a standard assistant.
Recommendations, document understanding, forecasting and multimodal products require a different method from a chatbot. We assess data quality, the target metric, a simple baseline and the commercial case before building an expensive platform.
The engagement covers data pipelines, model or vendor selection, evaluation, MLOps, monitoring and a viable product path. If simpler rules or statistics solve the problem, we recommend them.
What you receive
- Computer vision and OCR systems
- Recommendation engines
- Prediction and forecasting
- Generative AI tools
- MLOps and model monitoring
- Enterprise compliance and audit
What we work towards
- A defensible comparison with a simple baseline
- Traceable model and data quality
- An operable system with monitoring and explicit limits
How the engagement works
- 01
Understand the business
Stakeholder interviews and process evidence reveal where time, quality or revenue is being lost.
- 02
Design the target state
We define a realistic future workflow and prioritise initiatives with a visible business case.
- 03
Introduce in stages
Software, automation and training are rolled out in manageable increments.
- 04
Validate the impact
Adoption and process metrics guide adjustments once the solution meets everyday work.
Frequently asked questions
Do we need our own model?
Usually not at first. Existing models combined with good data and evaluation often create value faster. Custom models make sense for special data, constraints or scale.
How does a project start?
With a feasibility phase, representative data, a simple comparison solution and a success metric agreed in advance.