AI agents just made it 7x faster to implement Composable CDPs

As a consultant, I’ve spent thousands of hours helping companies implement data strategies that drive business value. I’ve seen so much change over my career, but AI agents might be the most disruptive opportunity yet.

It’s not just hype: I have proof. At my firm, Mammoth Growth, we implemented various AI agents end-to-end across the processes we use to deliver data and analytics warehouse architecture. The results we’ve achieved already have been astounding:

• We've increased our average data implementation speed from 5 weeks to 5 days
• We've cut data architecture development and consulting costs in half
• The quality of our data implementations and supporting documentation has actually increased for our pilot customers

So much of the hype around AI agents has been about what they do in specific tools for coding, marketing, and more. But the change they can bring to consulting and implementation is just as massive– and that change is going to disproportionately benefit companies that operate from the data warehouse.

Agentic consulting changes the game for data warehouses and CDPs

At Mammoth Growth, we were already bought-in on Composable CDPs. I had been able to help my clients achieve really fast time-to-value by using their existing data warehouse data, and getting use cases stood up quickly with Hightouch. Centralization on the data warehouse ultimately helped my clients reduce complexity – architect your customer data one time, the right way.

The most common hesitation I hear about Composable CDPs is “My data warehouse isn’t ready/clean enough for marketers.” Our business is built on improving data implementation in the warehouse, so I knew this problem was more solvable than most companies realized, and far easier to solve than implementing a net-new data silo like a traditional CDP.

AI agents are going to break down the barrier to entry for data warehouses even more. As I mentioned earlier, our own agent build-out increased our average speed from 5 weeks to 5 days and cut development costs in half.

Warehouse-first approaches served by agentic AI strike the balance between governance, speed, and flexibility. Instead of being constrained by siloed architecture as with traditional CDPs and martech platforms, you can now get all the benefits of a well-governed schema and architecture, but with the speed of agentic implementation.

The teams that win will be using AI agents

AI agents can be transformative across organizations. Our partnership with Hightouch is a perfect example of this, changing both implementation and outcomes:

1. Our human-led AI agents handle the technical complexity of building the foundation, but critically retain the expertise and strategic eye of our veteran consultants and architects.
2. Hightouch's AI Decisioning allows teams to automatically optimize their campaigns to maximize their KPIs, personalizing content for every single user.

The combination of Hightouch's platform innovation and our implementation approach creates a new paradigm for data activation—where time-to-value is measured in a fraction of the traditional timeline. Together, we're eliminating traditional implementation bottlenecks while simultaneously driving better business results.

To learn more about how we use AI agents to improve data implementations, let’s grab some time to chat. To talk to the team at Hightouch about how to turn your data investments into action and value, book some time with their solutions team.

Tom Clinton is Head of Practice at Mammoth Growth, a boutique data consulting firm. Mammoth Growth is leveraging bleeding-edge AI agents and processes to supercharge delivery quality and speed.