Choose a concrete task
Start with a recurring task. Documents could be pre-sorted, information extracted for review or internal knowledge made searchable. The expected result should be clearly describable.
Understand the current effort
Before selecting technology, examine the current process. How often does the task occur, which information is available and who checks the outcome? This helps identify whether fixed automation, AI or a combination fits.
Consider data and access
An assistant needs appropriate information and must access only the intended content. Data sources, responsibilities and permitted processing are agreed together. Model selection is one part of the complete solution.
Check results in practice
A pilot should be tested with representative examples. Correct answers matter, alongside clear limits and handling of missing information. Human review can form part of the workflow for important results.
Choose hosting to match usage
External endpoints, local hardware and rented GPU resources have different requirements. Usage, data paths, licensing and ongoing costs guide the choice. Practical comparisons help make the decision understandable.
Start small and expand deliberately
Once the first workflow works, the solution can develop further. Its value should be assessed against actual work. We support the selection of a useful starting point, technical implementation and introduction.
Would you like to discuss your specific needs? Let’s talk about it.