Most asked
Where should we start with AI?
Short answer
Start with a problem, not a tool. Before buying anything, run an operational audit to find where time and money are actually being lost, set basic guardrails for how AI can be used, and train your people on how the tools work. Audit, guardrails, and training form the foundation everything else is built on.
Most companies start by shopping. They follow a consultant's recommendation, chase a developer's demo, or go looking for the mythical killer app they read about in the trade press. That sequence produces activity without results, because adding technology to a process nobody has examined is a prescription for chaos.
The simplest and most direct entry point is three interconnected steps. First, an operational audit, which tells you where your time, money, and effort are actually going. Second, guardrails, which define what is acceptable use, what data is off limits, and who is accountable for output. Third, training, which builds the shared language and skill your team needs to use any tool well. Those three together create an AI strategy. Any one of them alone creates a project.
This approach also minimizes what you spend up front. You are not committing capital to a platform before you know which problem it is supposed to solve. You are spending a small amount of time to understand your own operation better than the vendors pitching you do.
Whatever you do, do not start by asking "where can we use AI?" Start by asking "where are we losing time, money, and decision quality right now?" Those are not the same question, and the gap between them is where most AI budgets disappear.