SCOPE
What our AI solutions include
Needs and data assessment
Together, we assess where AI could add value, what data is available and which technical constraints need to be addressed.
AI assistants and automation
We develop clearly scoped assistants and workflows for information retrieval, document processing and repetitive tasks.
Integration and validation
We connect the solution to your existing tools and test output quality, access permissions and human oversight.
DELIVERABLES
What will you receive?
We agree the final scope together during discovery and the proposal stage.
- Use cases and a feasibility assessment
- A prototype for the priority use case
- Agreed data and system integrations
- Output evaluation criteria and usage boundaries
AI use cases in business processes
Use cases
A focused task is a useful starting point: searching company documents, categorising incoming enquiries or preparing draft copy. We assess the volume of work and the time it currently takes before development begins.
Data and access
Before selecting a solution, we identify the data sources, access permissions and services that will receive data. Information that must remain within your organisation is a core design constraint.
Quality and running costs
We assess success through output suitability, processing time and the need for human review across sample tasks. Model and API usage costs are planned separately from development fees.
How do we develop an AI project?
- 01
Needs and feasibility
We identify the task to address, the available data sources and the technical constraints. For the initial phase, we select a use case with a measurable scope.
- 02
Prototype and evaluation
We develop a prototype for the priority use case, then use sample tasks to assess whether the outputs are suitable and where human oversight is needed.
- 03
Integration and use
We test the agreed system connections and access permissions, and clarify usage limits and ongoing costs.
YOUR QUESTIONS, ANSWERED
Frequently asked questions about AI solutions
Can it integrate with our existing tools?
We review the APIs and access options your tools provide. This assessment determines the scope of data sharing, permissions and integration.
How are AI outputs checked?
We define evaluation examples and the steps that require human approval around your use cases. We do not assume AI outputs will be accurate in every situation.
How is the cost of an AI solution determined?
The use case, data preparation, integrations and output evaluation requirements determine the development scope. Model or API usage fees, processing volume and any maintenance work are assessed separately from the development fee. The final scope and cost are agreed at the proposal stage.
What is needed to start an AI project?
Examples of the work you want to automate or simplify, the tools you use and suitable data sources form the basis of the initial assessment. After reviewing access permissions and data-sharing limits, we define the first use case and evaluation criteria.