BY SETHZ
Key takeaway
Use AI for defined tasks with approved inputs, source visibility and a responsible reviewer. Test incomplete and conflicting information before rollout, and measure the complete process rather than draft speed alone.
Define the inputs.
Prepare the work.
Own the next action.
A useful AI implementation begins with a specific task. Preparing a summary of an approved document is a different requirement from interpreting its financial significance. Those tasks need different tests, responsibilities and review processes.
The first step is to define what the system should produce and what a person will do with it. A draft used for internal preparation has a different operating requirement from information released to a client. The workflow needs to reflect that difference.
Establish the information boundary
Identify the material the system can use. That might include approved documents, selected CRM records or a defined set of reporting submissions. Decide how access is controlled and how the output connects to its sources.
Source visibility gives reviewers a practical way to check a result. It is especially useful when a document contains incomplete information, ambiguous terms or conflicting figures.
Define the review
Decide who checks the output, what they need to verify and what happens after approval. A review queue needs a responsible person and a clear completion state. The system should also show which items remain unresolved.
For example, a reporting workflow may extract fields from a submission, flag missing information and prepare a draft view. The reviewer then checks the source, resolves exceptions and approves the information for its intended use.
Test the difficult cases
Representative tests should include incomplete documents, inconsistent values and inputs outside the expected format. The question is how the system behaves when it cannot complete the task reliably.
It may need to request more information, leave a field unresolved or route the item for manual handling. Those behaviours belong in the design before rollout.
Measure the whole process
A faster draft is only useful if the overall process improves. Include review time, correction effort and user adoption in the evaluation. Agree a baseline and compare the same kind of work after implementation.
AI becomes part of an operating system when its inputs, outputs and responsibilities are defined. That is the foundation for deciding where it belongs in your firm's workflow.
Put this into practice
Explore our custom AI systems and business tools, review how we assess and implement a workflow, or discuss your firm’s requirement.
For a broader reference on AI risk management, see the NIST AI Risk Management Framework. Specific controls and responsibilities still need to be defined for your implementation.