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Practical questions for choosing on-site AI and reviewing document work.

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Industry analysisKeep the test fixed. Then judge the control.A new agent control should face the evaluation that exposed the problem, not a more convenient replacement. Microsoft’s run-assert-eval example offers a useful discipline: preserve the test, review enforcement and inspect both prohibited behavior and legitimate work. Its changing applicability counts and remaining failures also show why a favorable aggregate cannot settle acceptance.Published Read the analysis
Industry analysisThe schedule starts the agent. Who owns the result?A report arrived in Teams during Microsoft's October 13 demonstration. That showed a delivery path, not a working calendar trigger: the author says the routine was dispatched manually. For a company considering scheduled AI assistants, the useful question is what connects the start, the accepted job, the finished report and its delivery—and who takes responsibility when that chain breaks.Published Read the analysis
Industry analysisAn AI-drafted CSF profile is a starting point, not assurance.A policy says a security review must happen. A record shows whether it happened. An AI assistant can help organize both, but putting them under the same framework heading does not make them equivalent evidence. NIST's initial public draft SP 1353 illustrates AI-assisted work with the Cybersecurity Framework 2.0 (CSF 2.0), while explicitly separating its examples from assessment or assurance methodologies. For buyers, the useful question is whether the assistant makes evidence easier to inspect, not whether it produces a convincing-looking profile.Published Read the analysis
Workflow guidePharmaceutical document review Start with the evidenceAn approved protocol, its study report and authorized result exports serve different purposes. Bring them together in one source-linked review pack without blurring those roles. Before anyone uses a draft, reviewers should be able to see where each observation came from, which approved records conflict and what remains unknown.Published Read the guide
Buying guideBuying on-site AI for a law firm Start with one contract comparisonPut an authorized agreement beside its proposed revision. Ask for a difference register that a lawyer can check against both files. That is a useful buying task for an AI assistant at your firm: defined inputs, a reviewable deliverable and an agreed response when something cannot be checked. It is not a handover of the matter.Published Read the guide
Buying guideAn AI assistant at your company. What should the supplier deliver?Start with a task your team needs to complete, not the assistant's opening screen. Compare supplier-delivered on-site AI, software-only tools and an in-house build by what each delivers, what remains your responsibility and how your team will decide whether the result is usable.Published Read the guide

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