Your CRM Program Got an AI Budget. Now What?

The budget is approved. The tools are multiplying. Everyone from the CMO to your newest vendor wants to know what you’re doing with AI.

So…what are you doing with it?

We spoke with CRM leaders who have moved past the hypotheticals and are making real decisions about where AI belongs, how teams should use it, and what success should look like.

Here’s what stood out.

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Before You Buy Anything, Name the Problem

Marketers have used machine learning for years through send-time optimization, recommendations, propensity models, and other familiar tools. Today’s wave brings more options, attention, and pressure to move quickly.

That can lead teams to start shopping before they know what they need.

“Focus on the problem and then figure out how AI is going to help you with that,” said Jose Cebrian, Senior Partner, CRM & Loyalty at Merkle.

Perhaps production takes too long. Or the same segments have been receiving the same messages for years. Maybe your team has more content than it can meaningfully use. Pick a problem with a clear business impact, then find the technology suited to solve it.

“Use AI” is a mandate. It isn’t a strategy.

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Your Old Workflow Isn’t Precious

There’s an obvious appeal to doing the same work faster. But some CRM processes deserve a more honest evaluation.

Fixed segments, preset frequencies, endless A/B tests, and campaign calendar Tetris have shaped lifecycle marketing for years. They also rely heavily on assumptions about what large groups of people will want.

Decisioning offers teams a chance to work at the individual level, adjusting content, timing, and frequency according to each customer’s behavior. Getting there requires a willingness to question the system around the technology.

If you were building your CRM program today, which processes would you keep? Which ones are still around because everyone knows how to do them?

The answers may make your campaign calendar nervous.

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Yes, You Still Control the Brand

One concern comes up quickly whenever machines enter the creative process: What happens to the brand?

Marketers still set the strategy, develop the creative, establish the guardrails, and choose which moments require a specific message. Decisioning works within those boundaries to find the most relevant approved content for each person.

“The marketer’s creativity can be helped with AI, but creativity and the brand voice are ultimately human,” Jose said.

The machine doesn’t arrive with its own mood board and start rewriting your identity. It works with the content and direction your team provides.

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Efficiency Is Nice. Revenue Gets the Meeting.

Saving time matters. So does reducing manual work and getting campaigns out the door faster. But those wins won’t tell the full story in an executive presentation.

CRM leaders recommend evaluating performance from a few angles:

• Are channel engagement, conversion, and revenue improving?
• Is CRM contributing to results across the wider marketing ecosystem?
• Is the investment generating incremental value?
• Is the customer experience getting better along the way?

Together, these signals show whether a program is moving faster and moving the business forward.

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Your Creative Has More to Tell You

When teams can see how individual assets perform, creative reporting gets much more interesting.

A single campaign result can’t tell you whether the product, image, headline, format, or offer caught someone’s attention. Asset-level insights can. Those findings can guide future production, inform merchandising decisions, and help other channels understand what customers are responding to.

They also give strong creative more time to work.

“Content got to live longer,” said an SVP at a global retail brand. “Instead of going out once or twice, it’s able to live for weeks or even months.”

That means fewer great assets disappearing after one spot on the calendar, never to be seen again.

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Everyone’s Job Description Is Getting an Edit

As repetitive tasks fade, teams need more curiosity, critical thinking, and comfort with change. Junior marketers can spend more time interpreting results and bringing ideas back to creative and brand partners. Leaders need to stay close enough to the technology to guide where it goes next.

“Our teams can’t be the only ones learning the new technology,” said the retail executive. “We as leaders need to be doing it as well.”

That shift takes patience. People will have questions, and then they’ll have the same questions in slightly different fonts. Her advice was simple: “Educate them, reeducate them, and educate them again.”

An AI budget gives your team permission to begin. What happens next depends on the questions you ask, the habits you’re willing to drop, and whether the work produces something customers and the business can feel.

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