How to Start Using AI in Your Business: One Task, One Pilot

Start using AI in your business with one recurring task and a limited pilot. Define the input, the expected output, the person responsible for review and the measure that will help you decide whether to continue.

Buying subscriptions for the whole company does not establish a useful workflow. A small experiment gives you something concrete to evaluate before expanding access or connecting business systems.

Choose a task you can evaluate

Look for work that happens often, has accessible reference material and produces an output someone can check. Drafting an internal meeting summary or preparing a first response from approved service information can be easier to contain than allowing a tool to make financial commitments.

For each candidate, ask: how often does this happen, how long does it take, what does a good result look like and what happens when it is wrong? Avoid starting with a task where mistakes could cause serious harm or where nobody can judge the result.

Write the scope in one sentence: “Prepare a draft response to service enquiries using the approved service guide; a coordinator checks every response before sending.”

Map the workflow and boundaries

An illustrative pilot for service enquiries might follow this sequence:

1. A coordinator selects an enquiry suitable for the pilot.
2. The system receives the enquiry and the approved reference material.
3. AI prepares a draft and identifies missing information.
4. The coordinator checks facts, tone and any proposed commitment.
5. The coordinator edits and sends the response through the normal channel.

Set explicit exclusions. The pilot might prohibit changing prices, promising availability, issuing refunds or sending messages automatically. If the reference material does not answer the question, the result should ask for human help rather than invent an answer.

Agree how information may be used

Before entering company or customer information into a service, review its current data handling terms, account settings and your organisation's requirements. Tool availability alone is not permission to share information.

Start with synthetic or appropriately redacted examples where possible. Give any connected tool only the access needed for the pilot. Keep credentials outside instructions and reference documents. Decide who can inspect logs and how long test material will be retained.

Generative AI can produce plausible but incorrect output. Human review must include checking the answer against the source, especially names, dates, quantities and commitments. The NIST AI Risk Management Framework provides further context through the reference below.

Measure quality as well as time

Record the existing process before starting. For each pilot case, capture total handling time including review, whether the draft was accepted, what corrections were needed and whether escalation worked.

Agree the decision criteria beforehand. For example, require every unsupported request to reach a reviewer and no unapproved message to be sent. Set any time-saving target using your own baseline; an external productivity claim is not evidence for your workflow.

Include normal requests, ambiguous questions, missing references and text that tries to redirect the tool away from its assigned task. Keep a record of failures and changes so you can repeat the evaluation.

Decide whether to expand, revise or stop

Expand only when the result is useful and the review burden is acceptable. Add one task or permission at a time, and rerun the relevant checks. If reviewers spend longer correcting drafts than doing the work, improve the reference material, narrow the task or stop the pilot.

Assign an owner for updates after launch. Someone must notice when service information changes and check that the workflow still behaves as intended.

Your pilot checklist

• One task, one owner and a defined set of users.
• Approved inputs and clear prohibited actions.
• A human review and escalation route.
• Representative examples, including failure cases.
• A baseline, quality criteria and a review date.
• A way to disable the workflow and return to the previous process.

Reference and next step

NIST's AI Risk Management Framework is a reference for managing AI risks; this article offers a practical starting workflow rather than a compliance assessment.

Smart helps define and implement bounded pilots through AI and automation. Request a meeting and bring one repetitive task and an example of a good result.