Belief System Analysis · Updated on .
An AI roadmap for communication must start from tasks, data and responsibilities. It chooses specific uses, defines the necessary controls and measures the complete work, including verification. The purchase of a tool does not, in itself, constitute a transformation of the team.
The possible uses are numerous: preparation of interviews, synthesis, exploration of angles, adaptation of formats or research assistance. Their interest depends on the context. A quick task to generate can become expensive to control if the facts are sensitive or if errors are difficult to detect.
Observe the actual work
The diagnosis must examine the stages of a deliverable: information collection, analysis, writing, verification, validation and dissemination. It identifies repetitions, unnecessary waits and moments when judgment is decisive. Some difficulties stem from a poorly defined process rather than a lack of automation.
An interview with the people carrying out the work helps to understand the exceptions. A seemingly standard report may contain confidential information or implicit commitments. A reformulation can change the meaning of a reservation. These elements must enter into the choice of uses.
Evaluate benefit and controllability
The expected benefit may concern time, the quality of exploration or the accessibility of content. Controllability refers to the ability to spot an error and correct it before it has an effect. Useful but difficult to control requires a more demanding device.
The CNIL recommends regulating the uses and data introduced into the systems. NIST provides a framework for managing generative AI risks. For a communications team, these benchmarks translate into concrete choices: what data is admitted, who proofreads it and what tasks remain outside the scope of the pilot. [1] (FR) [2]
Build a limited driver
The pilot must relate to a sufficiently defined type of work. It specifies an initial situation, a duration, the people concerned and the evaluation criteria. The test compares the complete result, not just the speed of generating a first draft.
For example, a team can test the adaptation of content already validated in several formats. She checks compliance with facts, limits and tone. It measures instruction, correction and validation time. If the control cancels out the gain, the use must be reviewed rather than declared successful based solely on the impression of speed.
Preserve team learning
Automation can save time while reducing opportunities to understand a topic. The roadmap must therefore provide for the transmission of skills and the discussion of errors. People must be able to explain why a proposal is accepted or rejected.
Exploratory uses can be particularly useful when they expand options without delegating final judgment. The team can ask for objections, possible structures, or missing questions, and then review these proposals with their own knowledge. The value comes from this interaction, not from automatically accepting the output.
Deciding the extension on facts
The pilot's report indicates the tasks where the use is useful, the errors observed, the necessary checks and the situations where it must be avoided. It may lead to extending, modifying or stopping the experiment. These three decisions are legitimate.
The roadmap remains revisable, because the tools and conditions of use evolve. Above all, it must establish a sustainable capacity: choose a use according to the work to be accomplished, know its limits and maintain clearly assigned human responsibility for what involves the organization.