Design AI output as a proposal rather than a decision
When AI output resembles a final decision, users can act before checking its assumptions. Design proposals that expose evidence, missing inputs, and alternatives, while preserving a clear boundary between generated advice and authorized business decisions.
Read MoreMonitor AI quality after the pilot ends
A completed pilot does not freeze documents, user behavior, or model configuration. Establish ongoing answer reviews, change-triggered tests, and response ownership so quality problems lead to a decision rather than another unattended dashboard.
Read MoreSeparate AI evaluation from a polished demonstration
A successful demonstration shows what a team prepared, not necessarily what users can rely on. Separate presentation from evaluation with unseen tasks, explicit operating conditions, visible failures, and acceptance rules agreed before the demonstration begins.
Read MoreProtect customer information during AI provider integration
Protecting customer information requires more than choosing a model endpoint. Map prompts, retrieved context, logs, and support access, then verify the provider settings and application controls that govern each copy of the data.
Read MorePlan a useful fallback when an AI service is unavailable
An AI outage should not erase the user’s work or disguise an incomplete operation as success. Plan a reduced service that preserves context, offers a manual route, and returns to normal without replaying uncertain actions blindly.
Read MoreDefine safe boundaries for AI tool actions
Connecting an assistant to a tool changes the risk from an incorrect answer to an incorrect action. Define narrow operations, enforce authorization outside the model, and specify how execution is verified and interrupted.
Read MoreChoose OCR checks for scanned business documents
Readable OCR text can still misstate an invoice amount or detach a table value from its label. Select checks around business-critical fields, document layouts, and review queues before allowing extracted information into downstream decisions.
Read MoreKeep document answers current after source changes
Updating a source file does not finish an answer update. Define how revisions, withdrawals, and access changes move through extraction, indexing, and answer caches, then test that obsolete material can no longer support a response.
Read MoreMake human approval explicit in AI-assisted workflows
A review button is not an approval process by itself. Specify who authorizes each consequential action, what they inspect, and how the system prevents a changed proposal from using an earlier approval.
Read MoreHandle prompt injection in retrieved business documents
Retrieved files can contain instructions that conflict with a user’s request. Treat those files as untrusted evidence, restrict connected capabilities, and test what happens when hostile text appears inside otherwise useful business material.
Read More