BrainTrust Partners is an AI-powered services firm that helps enterprises grow securely using master data management and applied AI.

They do that by implementing private, custom systems and applied AI models that are trained on a company’s first-party data.

The result? Clients of BrainTrust Partners can dramatically improve personalization, productivity, and performance across the enterprise, thanks to the smarter and safer use of data and AI.

We spoke with Tim Hayden, CEO and Founder of BrainTrust Partners, to learn more about how the company uses AI to help customers grow.

In a single sentence or statement, describe BrainTrust Partners.

BrainTrust Partners empowers brands with future readiness and revenue growth securely through master data management and applied AI.

How does BrainTrust Partners use artificial intelligence in its products or services?

All of the systems we implement for master data management allow us to build private applied AI models and custom language models trained and operating on a company’s first-party data.

What are the primary marketing use cases for your AI-powered solutions?

Individualization of customer experiences, call times sliced in half, compliance and security across the enterprise, and accurate insights and answers to inform what’s next in marketing operations.

What makes your AI-powered solution smarter than traditional approaches and products?

In addition to widespread efficiencies and compliance, this is AI that our clients can control and meet the rigors of security that a CTO/CIO/CDO demand in technology licenses.

With that control, we are enabling clients to grow and iteratively alter and improve the performance of AI across all operations.

Are there any minimum requirements for marketers to get value out of your AI-powered technology? (e.g. data, list size, etc.)

This is 100% of the data across the enterprise.

Who are your ideal customers in terms of company size and industries?

Our ideal client is $200MM and larger in annual revenue, with multiple locations, 500 or more employees, and greater than 500,000 known customers.

What do you see as the limitations of AI as it exists today?

Public models lack safety and security, and are always trained on public data. Further, all of AI in 2024 is limited by compute power and the data it has access to.

What do you see as the future potential of AI in marketing?

Individualization and contextually relevant experiences for every customer, improved marketing performance (more control, less cost), and immediacy in meeting customer needs.

I also see marketing professionals making more confidence decisions and accountable investment in content, media, and other communication with customers, known and unknown.

Any other thoughts on AI in marketing, or advice for marketers who are just starting with AI?

Know that what is advertised as AI today is not anything like what AI and automation will provide within 12 months, and it will change every month or more frequently from there.

Be vigilant with customer and sensitive company information, not sharing such with public models.