AI in Action: Using Enterprise AI Automation to Create Measurable Impact

In a growing competitive landscape, using AI is no longer a way to get ahead — it’s necessary to avoid falling behind. 

It’s clear that organizations have caught on. MIT’s State of AI in Business report found that companies have invested up to $40 billion in enterprise AI automation since 2023. Yet, among these organizations that implemented AI into their workflows, only 5% saw significant measurable profit and loss (P&L) impact.  

So, why did 95% of enterprise automation users fail? 

More importantly, what set apart the other 5%? 

The answer isn’t a bigger budget, better talent, or more advanced technology. Rather, it was their approach to integrating AI into their workflows.  

In this lighting session from The Channel Effect 2026, Jorge Tite, Head of AI Transformation, shared three ways successful AI users drive tangible results. 

AI-generated content is at an all-time high. According to Statista, 93% of marketers use AI to generate content, with humans shaping, refining, and directing the final result. However, 65% of this content goes unused due to its inconsistency, incoherence, and strategic misalignment. 

AI-generated content lacks local context and can alienate consumers. That’s why rather than producing and posting “generic sludge,” it’s important to create AI-generated content more intentionally. 

One way to do this is to focus on compliance. 

When the cost of content creation goes down, the cost of compliance goes up. While you can generate thousands of assets with minimal effort and maximum output, this content can do more harm than good. Without someone validating that all content adheres to brand guidelines and regulatory requirements, these assets could create potential liability for your brand.  

That’s why the top 5% doesn’t just deploy content — they structure their content operations with compliance at the center. That means redesigning the system, not just the tools, by creating templates, automating guardrails, and building approval workflows.

AI heavily influences how buyers discover content, with up to 6% of B2B site traffic driven by AI-generated answers. Those who navigate to a site as a result of AI recommendations are likely to spend significantly more time on that site. That’s why, rather than optimizing solely for search, it’s essential to be the source that AI models cite — something that the 5% understands. 

Localizing your content is the best way to enhance your digital media presence, as this content drives higher engagement than generic content. For example, a standard AI tool will create a run-of-the-mill car ad, while a context-aware AI tool might reference the local school football game and the specific inventory in the dealer’s lot. Guess which ad will perform better? 

The value of AI in brand-to-local marketing is not volume — it’s contextual relevance delivered at scale.  

Most local partners understand that AI is necessary to performance but still have their reservations about using it. In the automotive industry, 63% of dealers believe AI is necessary for achieving success, though 74% feel that it isn’t accurate and can produce errors.  

Behind this lack of trust is fear. Partners often ask whether enterprise AI is there to help them or eventually replace them. The way to move the needle and overcome AI adoption challenges is to ensure that these enterprise automation tools are designed to remove friction. 

For example, partners often neglect their co-op funds because the process of using these dollars is complex and time-consuming. To alleviate these obstacles, you could add workflow automation to proactively suggest fund use before expiration, validate assets for compliance, and streamline fund approvals. AI becomes less intimidating and more attractive to partners when it removes friction and adds value.  

When investing in a platform integrated with enterprise AI automation, ensure that it can do the following to get the best results: 

• Automate entire workflows: Achieve maximum efficiency by automating entire processes — not just individual actions or tasks. 
• Establish governance as a foundation: Compliance should never be an afterthought. Integrate governance into your workflows to create brand-compliant AI that can’t hallucinate off-brand content. 
• Measure success based on partner outcomes: You can gauge performance best by measuring tangible results like number of campaigns activated, fund usage, and revenue attribution. 

Do you use enterprise automation in your workflows but aren’t sure if you’re doing so effectively? You can determine your organization’s standing with AI by evaluating the following areas.

Think about how deeply enterprise AI is integrated into your workflows. Ask yourself: 

• Are our systems actually connected, or just AI-labeled? 
• Are our systems end-to-end and API-led with unified data sources, or are we using standalone tools that don’t connect? 

When measuring ROI, it’s important that you track metrics that are truly indicative of growth. To ensure you’re measuring the right metrics, think about the following questions: 

• Are we measuring real business impact or just activity?   
• Are we measuring hard metrics like revenue lift, win rates, and customer lifetime value, or soft metrics like time saved? 

The way AI affects your partners can make or break your brand-to-local success. To determine how your partners are faring, consider: 

• Are we making life easier for our partners or more complicated? 
• Are our partners empowered by automated funding and execution or overwhelmed by complexity? 

Using enterprise AI automation isn’t enough to get ahead — you need to use this technology wisely to see maximum performance. Be like the 5% of organizations that are seeing profit spikes by investing in an AI-infused platform designed to streamline complex ecosystems.   

Ansira is leading the way in brand-to-local marketing innovation, helping brands gain simplicity, efficiency, and effectiveness through one centralized platform.  

Learn more about the Ansira platform or book a demo to see it in action.