SMEs should start AI projects by solving one concrete problem, like vetting suppliers at scale. Set clear deadlines, measure ROI per dollar spent, and pick high-volume tasks with low risk first. Simple, measurable wins beat ambitious plans.
Thank you, Sandeep. Yeah, KP?
Yeah, I mean, there's no— in terms of AI solutions or strategy, there's no one size that fits all, right? I would say, you know, for SMEs, as I mentioned, right, who are starting out, you know, I would say keep it simple, right? Identify what is the challenge that you're facing or the business outcomes, right, that you're looking for. For all we know, you probably have a lot of workload, right, when it comes to vetting your suppliers, for example. So there might be an area where you might want to kickstart first. And as Ankit already has the experience of rolling out projects like this to ascertain or even to overcome such a bottleneck, I think that might be a good way to start. But also making sure, as what Sandeep has mentioned, that it's trackable, it's measurable, right? There's an outcome, right? So you have to set a date, right? By when, for example, right? that for every dollar that you spend, you're getting it back. And try to look at lower-risk projects if possible, right? But it generates a lot of— where your daily workload, you have a lot of high-volume activities going on, but making sure that the benefits are all measurable. Yeah, thank you.
