Where AI truly creates value in your business.
Questions that transform an AI project from technology demonstration to business solution.
Questions that transform an AI project from technology demonstration to business solution.
Questions that transform an AI project from technology demonstration to business solution.
Start with workflow, not technology
The first question for artificial intelligence investment is not which model to use. It is more decisive which workflow takes unnecessary time, where there are quality problems and what data is available. Document classification, internal searching, and drafting a response can be good starting points.
Know the limits of your data
A knowledge base that is incomplete, outdated, or has unclear access makes it difficult to produce accurate answers. Identify the content's source, owner, and update frequency. Consider at the beginning of the design that each user can only access information for which they are authorized.
Keep human approval in the right place
While low-risk classification transactions may proceed automatically, financial or irreversible transactions may require human review. It is important to demonstrate the uncertainty of the system and delegate the work to an expert when necessary.
Evaluate with a small pilot
Prepare a benchmark set of representative examples. Track accuracy, response time, cost and user corrections together. The decision to move into production should be based on repeatable results, not just a few impressive samples.
Every business is unique. Let’s explore how we can tailor these ideas to your own digital project.
