Arrow AI
Free See how AI engines talk about your brand Run the GEO audit →

Arrow AI Systems / Pilot planning

One workflow.
A clear test.
A decision you can make.

Turn a repeatable business task into a bounded AI pilot. Define the inputs, keep the right decisions with your team, and measure the whole task before expanding automation.

A practical delivery approach from Arrow AI. Project scope and terms are agreed individually.

Choose a useful starting point

Start with a task your team already understands.

A good candidate has a repeatable trigger, accessible evidence, and someone who can judge the output. A support draft, document classification, or an internal request summary can provide a focused starting point.

Keep the first boundary narrow enough to review. If the inputs are inconsistent or no one owns the outcome, clarify the process before adding automation.

Check your system readiness →
Connected workflow blocks with a human hand placing the next step, illustrating controlled AI automation.
From a defined input to a reviewed result.

Your one-page brief

Make the scope reviewable.

01 / Work

Define the trigger and result

Which request starts the task? What output would a reviewer accept? Specify the inputs and the cases that are out of scope.

02 / Control

Set the approval boundary

Define what the system can read, propose, and change. Name the reviewer and the fallback for missing evidence or an unavailable service.

03 / Evidence

Agree on the decision

Record the current process, choose representative cases, and define acceptance criteria before comparing results. Include review and correction effort.

Read the worked pilot scoping brief →

Illustrative example

A support draft with a visible boundary.

A specialist selects an eligible product question. The assistant drafts an answer from the applicable documentation and shows the supporting source. A person reviews the draft before use.

What stays outside the pilot?

Sending replies, changing accounts, making contractual promises, and answering from documents the user cannot access. Missing evidence routes the task to the support team.

This is a proposed design example, not a customer deployment or a measured result. The pilot's value must be established through reviewed tasks.

From pilot to operation

Give the receiving team a way to run it.

A handoff needs named owners, source maintenance, a review guide, and recovery instructions. Rehearse a failure with the operating team before expanding the workflow.

FAQ

Before we define the project

Is this a fixed-price AI pilot package?

No. This page describes a planning and delivery approach. Scope, integrations, hosting, timelines, and commercial terms must be agreed for the specific project.

Can a pilot stay read-only?

Yes. Drafting or recommending an action for human review can be a useful first scope. Writing to another system needs its own permissions, validation, and recovery rules.

Work with Arrow

Bring one workflow worth improving.

Start with the task, its inputs, and the person who owns the result. We can discuss whether a bounded AI system fits the work.

The GEO audit covers public AI visibility. Workflow implementation has a separate scope.