Start with the work, not the tool

A useful automation starts with a familiar frustration: copying the same information between tools, checking whether a lead received a reply, or preparing the same internal update every week. Before choosing a platform, describe the work in plain language.

Map what starts the task, what information it needs, who makes a decision and what a successful finish looks like. This gives the team something concrete to improve. It also exposes steps that need a clearer process before they can be automated.

Choose one manageable workflow

Look for work that repeats often, follows a reasonably consistent pattern and has an owner who can tell you when something is wrong. A focused inquiry handoff is often easier to reason about than an attempt to automate an entire sales operation.

Write down the current baseline before making changes. You might track how many manual handoffs are involved, how often information is missing or how long a team member spends preparing a request. Use your own observations rather than an assumed promise of time saved.

  • A clear trigger and a defined finish
  • Accessible, reasonably consistent input data
  • An owner for exceptions and follow-up
  • A small scope that can be tested safely

Give AI a specific job

AI can be one step in a workflow rather than the whole workflow. For example, it could prepare a draft summary of an inquiry for a person to review. Clear boundaries make that role easier to evaluate: which inputs are allowed, what the output should contain and when a person must step in.