Work with us on a RIDL Implementation for your organization!

You don’t have to spend hours migrating customer data from tool to tool — finding and replacing, formatting dates, formatting currency, formatting phone numbers...

You can go to meetings with your team without discussing HOW it needs to happen or when it's going to.

Data automation tools don’t get you a manageable data pipeline, they get the data migrated from tool to tool… tactics, not a process, not a system, not a strategy. It’s just another tool in the tool chain.

RIDL on the other hand isn't just another tool. RIDL does your migration, scoring, cleaning, formatting for you — day in and day out and you can schedule it.

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What Happens After You Apply?

We'll be in touch to schedule a call to review your application. During this call, we will create a detailed map of your current Customer Data Pipeline, key Touchpoints, and Current Outcomes. Together, we'll use this insight to set out a clear framework for creating measurable improvements in your customer outcomes.

What level of technical detail will I need to understand during the process?

You won’t need to dive into code or tech details. We handle all the heavy lifting — your role is simply to share how your business works and what you want from your data. We’ll turn that into the right system for you.

My data is too messy/complex for any tool to fix.

You’ve got a unique stack, and integrating new tools can feel like a hassle. But the longer your data stays disconnected, the harder it gets to untangle. By connecting your key sources now, you keep things manageable and set yourself up for smoother growth later.

I don't understand how AI Agents actually work with my data.

Your customer data holds powerful insights — if you know where to look. Our AI Agents learn from your data as they go, uncovering patterns, inconsistencies, and hidden opportunities unique to your business. Start now, and gain clarity before your data challenges grow more complex.

What do the scores mean and how does the data grading work?

Your Data Health Score shows how clean and reliable your data is right now—like a report card for your database. The higher the score, the healthier your data. We also show how much improvement RIDL made, so you can see the impact right away.

We don’t have everything fully documented internally, so I’m just wondering how that might affect setup.

Many organizations have undocumented processes, which makes it hard to see how data truly flows from its origin points to where it's supposed to be used as clean, reliable information. This lack of clarity causes growing errors and distrust in your data. Working through implementation now helps map these data flows as you build, ensuring data moves correctly and arrives where needed in a clean state.

We have some specific security and compliance standards we have to stick to — would your system be able to handle that?

Of course you care about security and compliance – everyone does, especially as data regulations evolve. We work side-by-side with you during implementation to configure the architecture specifically to meet your unique regulatory needs, helping you get there and stay compliant.

What level of commitment is expected from my team?

Any implementation requires time, but think of it as an investment to eliminate the endless, ongoing cost of manual data firefighting. Your RIDL implemented customer data pipeline will need ongoing access to your systems for data to flow automatically, and building it now ensures that structure is in place. Investing now helps you stop wasting time and energy on all those manual data headaches.

I don't see my tool listed here as being compatible.

Whether you're using CRMs, Snowflake, AWS, or something else, we’ve likely worked with it. Our system is built to connect to the tools you already use, so you don’t have to rethink your stack — just make it work better.

Can I integrate this with our custom-built internal tools?

If it has data, we can connect to it. We’ll help you bring that valuable info into the fold without disrupting what’s already working.

What you can expect with RIDL Implementation

Tailored Customer Data Architecture: Collaboratively design and implement a strategic data architecture with automated pipelines that seamlessly connect and manage data flow across your critical Marketing, Sales, and Customer Success systems, built specifically for your organization's structure and goals.

Integrated Data Health Monitoring: Establish a comprehensive system for continuous data scoring and health monitoring baked into your architecture. Gain deep visibility to consistently know the quality, completeness, and reliability of your customer data across all connected sources.

Systemic Data Integrity & Cleanliness: Implement AI Agents that enforce consistent customer data cleanliness at the architectural level. Proactively identify and eliminate data integrity issues — like duplicates, inconsistencies, and low-quality entries — at key points throughout your integrated systems.

Accelerated Data Readiness for Advanced Use Cases: Lay the groundwork for advanced AI applications and ensure all your customer data is clean, consistent, and readily available for sophisticated analytics, personalization, and future AI initiatives across your entire data environment.

Expert Guidance & Collaborative Building: Work directly with the CommonThread team. Benefit from our expertise as we guide you step-by-step through the process of designing, configuring, and deploying your AI Agent-powered customer data architecture.

Measurable Improvements & Operational Efficiency: Put in place a system designed to reduce manual data work significantly, improve operational efficiency, and provide the reliable data foundation needed for more accurate reporting, forecasting, and strategic decision-making.

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