When people talk about artificial intelligence, it often sounds like a silver bullet—something you switch on and instantly reap the rewards from.

But anyone who’s spent time working with AI knows that’s not how it works.

It’s not magic. It’s a garden.

And like any garden, it needs planning, maintenance, and care. At Revenue Ops, we’ve been helping teams tend their AI gardens using tools like Salesforce Data Cloud and Agentforce. And just like gardening, the results aren’t always instant—but when you tend to the roots, the growth is real.

Here’s what we mean.

It starts with a seed (aka your prompt)

A good garden begins with intention. You pick what you want to grow, choose the right spot, and plant with purpose.

Working with AI is no different. Prompts are the seeds you plant. They shape the response you get. A rushed or vague prompt is like tossing wildflower seeds into gravel and hoping for a rosebush. It’s not going to bloom.

But a thoughtful, clear prompt—something grounded in your business, your customers, your data—gives AI something real to work with. It’s the difference between a one-off answer and a genuinely useful output.

If you’re not sure where to start, we’ve written about how RevOps teams can use Marketing Cloud to automate the customer journey. Prompts are at the heart of that process.

Weeding, pruning, and giving things time

Once you plant something, you don’t just walk away.

AI is iterative. The first few responses might be rough. Maybe you realize the AI is pulling from outdated info. Maybe your data isn’t feeding in cleanly. Maybe the answers are technically correct… but totally miss the mark in tone.

That’s normal.

Just like you pull weeds and adjust watering schedules, working with AI means reviewing what it produces, refining the inputs, and shaping the outputs over time. We’ve seen amazing things come from this process—especially when customers use Agentforce. It allows you to create conversational assistants that learn from your feedback and evolve into incredibly useful tools for your team and customers.

Letting the garden change you, too

Here’s the beautiful part.

Once things start growing—once your AI tools are tuned, your data is connected, and your team trusts the process—you’ll notice a shift. It’s not just that AI is “doing things.” It’s that your whole team starts operating differently.

Marketers test more. Sales reps follow better signals. Customer success becomes more proactive. Leadership finally has answers without a 2-week reporting delay. AI changes how you move.

That’s the reward of a well-tended AI garden. You don’t just get more output. You get more capability.

If you’re wondering how to set the foundation for that kind of growth, our RevOps maturity model walks through the stages most companies move through—and what is most important for each step.

Don’t forget to compost the old stuff

Every garden has its dead leaves. Legacy systems, manual processes, dashboards no one reads anymore—they pile up.

AI can help shine a light on that clutter. And that’s a good thing. Because hidden in that mess are the raw ingredients for growth. If you’re willing to decompose a little, your old workflows can actually feed smarter systems.

We help teams modernize and simplify without throwing everything away. Whether that’s migrating to Salesforce Data Cloud, integrating with BigQuery, or replacing outdated support flows with Agentforce bots, we’re here to make the shift smoother—and actually useful.

Let’s plant something together

AI is here to stay. But unlike a tool you buy off the shelf, it’s something you build—and build with intention.

We can help you:

• Design smarter prompts and workflows that make AI work for your business
• Connect your systems and data using Salesforce Data Cloud
• Deploy Agentforce to support sales, marketing, or service teams with real-time intelligence

So if you’ve been thinking about how to start—or how to clean up the garden you’ve already planted—we’d love to talk. You bring the vision. We’ll bring the trowel.

Reach out here and let’s grow something together.