Choose a defined AI workflow before choosing a new model

By Pascal Bouman··3 min read
AI roadmap with work layer, apps, data, permissions, and checkpoints

The roadmap decision is a workflow decision

Choose one recurring task for which AI organizes information or prepares a draft, and define the boundary of that task in advance. This makes the roadmap testable: the organization determines not only which system is used, but also which work context is relevant, which data fall within the chosen application, and which outcome must remain outside the application. NIST states that the intended application scope must be specified and documented based on the AI system's capability, context, and categorization. This is not a prescription for every tool choice, but it is a useful source-based foundation for narrowing a broad AI ambition into a defined application.

Make human oversight a concrete handoff point

In the first version, let AI search, organize, or prepare a proposal; reserve sending, changes, and decisions with significant consequences for a designated reviewer. For each workflow, specify who that reviewer is, which signals lead to escalation, and when the workflow stops. NIST refers to processes for human oversight that are defined, assessed, and documented in line with organizational policy. For high-risk AI, the European Commission lists risk management, logging for traceability, and detailed documentation among the obligations before market placement. That latter passage applies specifically to high-risk systems; it therefore does not prove that every internal AI application is subject to the same legal obligations.

Comparison between a standalone chatbot and an integrated AI work layer

Use a decision register before expanding deployment

Turn the first workflow into a repeatable decision: who can change the scope, who assesses output, and what log data make it possible to reconstruct an incident afterward? Use this tool: For each AI workflow, record the task and permitted context, data that may not be used, permitted action, human approver, log entry, stop or escalation signal, and owner of the next review. This turns the roadmap into a series of verifiable choices rather than a standalone tool pilot. The substantive limitation remains: This article does not provide individual legal, financial, or professional advice; the cited EU passage describes high-risk AI, and the NIST passage provides a risk management framework, not a complete classification or applicability assessment for a specific organization.

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