AI in Marketing: Key Findings
The biggest obstacles to AI ROI are data quality and readiness (43%), technical immaturity (43%), and a shortage of skills and data literacy (35%), according to Informatica’s CDO Insights 2025 survey.
Even as adoption climbs, many B2B firms struggle to turn pilots into consistent returns. This is because data gaps, missing capabilities, and overhyped expectations often stand in the way.
For B2B brands, what’s the smartest way forward?
Let AI handle the heavy lifting, but keep the storytelling and strategy firmly in human hands.
In this exclusive interview with DesignRush, Steve Roop, AI & Content Director at Littlefield Agency, outlines three keys to using AI effectively in B2B marketing:
- Where AI delivers value: research, drafting, and content repurposing.
- Red flags to watch: unrealistic expectations and unclear goals.
- Why transparency matters: clients trust when AI’s role is clear.
Who Is Steve Roop?
Steve Roop leads AI and content at Littlefield Agency. With more than 25 years in marketing, he’s worked as an agency leader, business owner, and strategist.
Before joining Littlefield, he ran his own firm, Red 5 Communications. Roop focuses on using AI to make work faster and smarter without losing the human touch that makes marketing connect.
Best Uses: Freeing Human Creativity
AI is a tool to clear space for strategy and relationships.
The real value shows up in everyday work like research, drafting, and repurposing content.
“The hype around new models is always huge, but the real wins show up in everyday tasks: research, first drafts, and turning one piece of content into different formats for different channels,” Roop says.
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Where AI falls short is when people expect it to replace strategy.
“Human insight and creativity are still the heart of marketing. We use AI to handle the repetitive stuff so our team can focus on big ideas and relationships,” Roop adds.
Red Flags: Unrealistic Expectations
Strong partnerships start with clear goals, a collaborative mindset, and a focus on data.
According to Roop, the best signs a client relationship will thrive are:
- Clear goals
- Team mindset
- Focus on data
The biggest warning sign is when expectations are unrealistic.
“If someone wants overnight results without the budget, brand story, or sales team to support it, it’s a warning sign. We know we’ll spend more time resetting expectations than driving results,” Roop says.
Best Uses: Complex B2B Environments
Manufacturing and financial services are a natural fit for Littlefield.
Long sales cycles, dealer networks, and multiple decision-makers demand patience, clear messaging, and trust.
“We work best in industries like manufacturing and financial services where there is a dealer network and sales cycles are long, products are complex, and messaging has to win over multiple decision-makers,” Roop says.
AI helps with efficiency, but the strategy stays focused on guiding buyers through complex decisions.
Best Uses: Building Trust Through Transparency
Transparency is one of the easiest ways to build trust, yet it’s often overlooked.
Clients don’t just care about the final blog post or campaign idea. They want to see how it came together.
Explaining where AI played a role and where people added strategy helps clients feel confident in the process.
“They want to know how we got there and where the human team stepped in, the strategy, planning and thought that went into it,” Roop says.
AI in B2B: Best Uses and Red Flags Summed Up
AI will not close deals by itself, but it can create the time and space for the strategy, creativity, and relationships that do.
For B2B brands, the advantage will come from using AI to support long sales cycles and dealer networks. And it can also help navigate multi-stakeholder decisions.
Lasting success depends on people who can connect AI-driven efficiency to clear messaging that wins over decision-makers.
ROI in AI FAQs
Why doesn’t AI deliver ROI on its own?
AI doesn’t deliver ROI on its own because it produces outputs, not outcomes.
Real returns come when businesses combine automation with clear strategy, strong data, and human insight.
What’s the biggest client red flag?
Unrealistic expectations, like wanting results without the resources to back them up.
Where does Littlefield see the most AI value?
The strongest ROI comes from using AI for research, first drafts, and content repurposing.
Automating these repetitive tasks frees teams to focus on creativity, strategy, and building stronger client relationships.
Why does transparency matter?
Transparency builds trust by showing where AI was used and where people added strategy and creativity.
Clear communication reassures clients that efficiency never comes at the cost ofquality or insight.
