How to build a practical AI adoption roadmap

Start with a task your team repeats

A member of your team searches several internal procedures to answer a routine question. Another drafts the same type of response each week. AI might help with either task, but a convincing demonstration does not show how much checking the finished work will need.

Choose one task and observe how staff complete it today. Record the time spent finding information, preparing the answer, checking it, and handling exceptions. That gives you a fair starting point for testing whether AI improves the work.

Choose one useful first trial

Make a short list of recurring tasks. For each, describe the user, the problem, the information needed, the likely benefit, and what could go wrong. Include simpler options, such as improving document organization or using an existing search tool.

Choose a task with current source material, a named owner, and results a knowledgeable person can check. If the documents are out of date or no one has time to review answers, resolve that first. For decisions across several projects, use the broader technology roadmap guide.

• Find information: locate relevant passages in approved procedures and show the sources.
• Prepare a draft: produce a first version that a responsible person checks before use.
• Organize routine work: suggest categories or prepare records for a person to confirm.

Agree the rules and responsibilities

Before starting, agree who can use the tool, which information they can provide, and what must be checked before an answer is used. Confirm that the selected service and its data settings are approved for that information. Name the person who handles problems and can stop the trial.

NIST’s AI Risk Management Framework 1.0 groups risk work under Govern, Map, Measure, and Manage. It provides a reference for assigning responsibility, understanding the setting, evaluating results, and responding to problems throughout use. Applying the framework does not itself establish safety or compliance.

Sources: NIST AI Risk Management FrameworkNIST AI RMF Core: Govern, Map, Measure and Manage

Example: a two-week internal knowledge trial

Imagine a services team testing an assistant that finds answers in internal procedures. The following scope is illustrative, not a reported InterPro IT Consultants deployment or a recommended trial length for every organization.

Before the trial, the operations lead selects 20 current procedures and confirms that all five participating staff members may access them. A subject-matter reviewer prepares 30 representative questions, including unclear requests and questions the documents cannot answer. Separate controlled test cases introduce conflicting or outdated passages to check whether the assistant flags the problem; those test materials stay outside the approved working collection.

The assistant returns an answer with links to the supporting passages. It can read only the approved collection and cannot change records or send messages. The reviewer checks each trial answer for factual support, missing qualifications, and whether it should have asked for help. Staff record their full time, including review and correction.

The trial ends after two weeks, or earlier if a stop condition occurs. The owner compares results with the current process and decides whether to adjust and retest, extend testing to cover unanswered questions, expand to another small group, or stop. A small successful test alone does not establish reliability in wider use.

Measure the finished task

Agree the measures and decision criteria before seeing results. Compare similar tasks under the current and AI-assisted processes, using separate but comparable questions where possible so familiarity does not make the second attempt look artificially faster.

The table shows example checks, not universal performance targets. Set thresholds for your task and the consequences of an error. Record serious failures separately so a good average cannot hide them.

Use results to choose the next step

Review the trial against the criteria you agreed. Expand only when the evidence supports the next step and someone has capacity to maintain the documents, help users, and review errors. If the results are mixed, state what another test needs to resolve. If a simpler process works better, use it.

Pause the trial if it exposes information to an unauthorized person, takes an unapproved action, or repeatedly gives important unsupported answers that reviewers fail to catch. Record what happened and require the responsible owner to approve any restart after the problem has been addressed.

When expanding, name who maintains source material, monitors cost and errors, manages supplier changes, and can disable the tool. Keep any new permissions explicit and schedule a review of actual use.

Prepare a one-page pilot brief

Use this checklist to make the trial specific enough to approve and evaluate. List any unknowns that must be resolved before it starts.

• Task and starting point: what work will change, and how do time, quality, and cost compare today?
• Owner and reviewer: who runs the trial, checks the work, and decides what happens next?
• Approved information: which sources, users, tool settings, and permissions are allowed?
• Participants: who will take part, and what guidance or training will they receive?
• Budget: what are the spending limit and the staff time available for setup, use, and review?
• Duration: when does the trial begin, end, and come back for a decision?
• Success measures: which questions or tasks will be tested, what counts as acceptable, and how will results be recorded?
• Reasons to stop: which failures trigger a pause, who handles them, and who may approve a restart?