What to Cover in a One-Hour AI Strategy Call
A single hour is enough to leave with real decisions if you spend it on the right five things instead of a broad tour. Cover them in this order: the problem (the specific business pain, stated plainly, before any mention of technology); the metric (what number would move, and by how much, if this worked); build, buy, or wait (whether an existing tool already solves most of it); data and risk (what data you have, whether you can use it, and who owns being wrong); and the smallest next test (the cheapest experiment that would prove or kill the idea in weeks). Skip the vendor demos, the model comparisons, and the future roadmap. In sixty minutes those five questions turn 'we should do something with AI' into a concrete, testable next step you can act on tomorrow.
I'm Mahmoud Zalt, an AI systems architect with 16 years shipping production software. Through Sista AI I run these calls constantly, and the ones that work all share the same tight agenda.
Why an Hour Needs an Agenda
The reason most AI strategy calls waste their hour is that they drift. Someone brings up a tool they saw, someone else raises a use case, and forty minutes vanish before anyone has named the actual problem. An hour is short. Without an agenda it becomes a pleasant conversation that changes nothing.
The agenda below works because it front-loads the questions that make every later question easier. Once the problem and the metric are pinned down, build-versus-buy nearly answers itself, and the smallest test becomes obvious. The order matters as much as the content: each item constrains the next, so by the time you reach 'what do we do next,' the answer is already implied by everything you agreed to before it.
The Sixty-Minute Agenda
Here is how to spend the hour, with rough timing so nothing swallows the whole call.
| Minutes | Topic | Leave with |
|---|---|---|
| 0 to 10 | The problem | One sentence naming the business pain, no technology in it |
| 10 to 20 | The metric | A number that would move if this worked, and the target |
| 20 to 35 | Build, buy, or wait | An honest read on whether an existing tool solves most of it |
| 35 to 50 | Data and risk | What data you can actually use, and who owns being wrong |
| 50 to 60 | The smallest test | One cheap experiment with a clear success or kill condition |
Notice that no time is allocated to choosing a model or a framework. That is deliberate. Those are downstream decisions that only make sense once the five items above are settled, and spending your scarce hour on them is how calls end with enthusiasm and no direction.
How to Prepare So the Hour Counts
The call is far more valuable if you arrive with raw material rather than assembling it live. Before the session, gather the following, even in rough form.
- The problem in your own words. What is slow, expensive, or error-prone today. Not the AI you want, the pain you have.
- What you have already tried. Tools, prototypes, or manual workarounds, and why they fell short. This saves you from re-treading dead ends.
- A look at your real data. Roughly how much, how clean, where it lives, and whether you are allowed to use it. This single input reshapes most AI plans.
- Your constraints. Budget, timeline, and who would actually own the result. Constraints are not limitations here, they are what make the advice actionable.
Frequently Asked Questions
Can you really get value from a one-hour AI call?
Yes, if it is focused. An hour is not enough to design a full system, but it is more than enough to name the problem, agree on a metric, settle build-versus-buy, and define the smallest test. That is a genuine strategy, and it is the part most teams skip.
What should I prepare before an AI strategy call?
The business problem in plain words, what you have already tried, a realistic look at your data, and your budget and timeline constraints. Arriving with these turns the hour into decisions instead of discovery, because the expert can react to reality rather than ask you to imagine it.
Who should be on the call?
The person who owns the problem and, ideally, whoever would own the result. Keep it small. A focused call with two decision-makers produces more than a crowded one where nobody can commit. If more of the team needs to align, a longer team session fits better than a packed hour.
What if my questions are broader than one hour allows?
Then use the hour to prioritize. A good session will help you decide which question to answer first, which is often more valuable than a shallow pass over all of them. Deeper work can follow in a longer working session once the priority is clear.
Turn One Hour Into a Real Next Step
A well-run hour is one of the highest-leverage things a busy leader can buy, because it converts open-ended AI ambition into a specific, testable move with almost no commitment. The agenda above is exactly how I keep that hour on track so you leave with decisions, not homework.
My Q&A Session is that call: a focused session for direct answers, decision validation, risk flags, and a clear next step on any AI topic. It is $90 for a one-hour open-format session, $170 for a two-hour working session if you want to go deeper, or $240 for a three-hour team session to align a group. Come with the problem and leave with a plan. You can read more about my background through Sista AI.
Book a focused Q&A session and leave with a clear next step.
