Getting started

Where should your business start with AI?

Start with a recurring workflow, a clear owner, and a result you can evaluate. A practical guide to choosing a useful first AI project.

Start with work you already understand.

The most useful first AI conversation usually starts with a task: answering the same questions, preparing a report, gathering documents, or moving information between systems. Choose work your team can describe clearly enough to recognize a better version of it.

Write down what triggers the task, what information it uses, what the person does, and what a successful result looks like. Include the awkward cases. They often determine whether an idea is ready to become a reliable workflow.

What makes a useful first project?

Look for a recurring task with enough volume or importance to justify improvement, an accessible set of inputs, and a person who owns the result. A narrow first scope makes it easier to learn without introducing unnecessary dependencies.

  • A recognizable problem: the team can explain what is slow, inconsistent, or difficult.
  • Available information: the necessary data or documents can be used with appropriate permission.
  • A clear reviewer: someone can judge whether the output is useful and correct.
  • A defined boundary: the system can hand off exceptions instead of attempting everything.

Define “better” before building.

Record the current process before introducing a new system. Useful measures might include time spent preparing a draft, the number of manual handoffs, rework, or the proportion of requests that reach the right person with the required information.

Include operating costs and review time. A draft produced quickly is useful only if the total work—including checking and correction—improves the process.

A practical starting question: “Which recurring task would we most like to stop doing the same way?”

Keep the first step small enough to learn.

Agree on representative examples and acceptance criteria, build a focused version, and let the people who will use it test the workflow. Define how to pause it, who handles exceptions, and what happens when a dependency is unavailable.

The result may justify expansion, a different design, or a decision that ordinary automation is sufficient. Each is useful information when it comes from the work itself.

Talk with WAIV about a first project, or explore our workflow automation services.

The next step is a conversation

Let’s find your next wave.

Bring us the work that slows you down. We’ll explore what a better way could look like.