Fix (your data) before funding AI

AI is only as good as the data that supports it. Period. End of story.

The differentiator between businesses that are ready to benefit from AI and those that are not is all in the preparation. Systems must be integrated. Data must be clean. AI capabilities are ever-changing. What is available today will look different a year from now, and will continue to evolve. 

However, getting the basic data foundation in place will not change. Building this foundation will save time, money and resources in the long run while paving the path for a successful roll-out and measurable results of your AI tools. It will solidify your business’s ability to move on opportunities as they come to market.

The Breakdown

Access to AI is widespread, but few are ready for it.

Those who are using AI effectively have an edge.

The differentiator: Decontaminated data (not the flashiest AI model). AI tools working off of solid foundational data to generate meaningful output.

Be Ready, Get Unstuck with Maze

We prepare you to benefit from all that AI has to offer by transforming your data, your systems and your workflows into a foundation that’s ready for real-time intelligence. That means data cleansing and mapping in a way that can power your AI tool; be it personalization, content creation, marketing optimization or anything in between. 

Why Maze?

We will focus and prepare you so when the right use case is identified, you’re already set up to move because we have addressed:

• Data (clean, enriched, structured, consistent)
• Systems (connected, composable, API-ready)
• Workflows (designed for augmentation and efficiency)
• Teams (trained and equipped to adopt AI safely and meaningfully)

Our Approach

We run a 3-phase AI consulting model, built for enterprise commerce teams that can be completed in as little as 2 months:

1. Assess & Align The Tools You Have (2-4 weeks)

• Audit data, platform, and workflow readiness
• Identify blockers and disconnects across your ecosystem (Shopify, Salesforce, PIMs, CDPs, ESPs)
• Surface key use cases to drive your business forward
• Capture existing AI tools and capabilities with current platform(s)
• Define a roadmap to AI readiness

2. Structure & Connect (4-6 weeks)

• Clean and normalize product/customer data
• Resolve identity, hierarchy, and taxonomy gaps
• Connect systems and expose the right data through APIs

3. Enable & Embed (2-6 weeks)

• Pilot AI use cases only once the foundation is ready
• Enable teams to drive the business forward using existing tools and developing efficient workflows
• Build the foundation for scalable, safe, and iterative AI use
• Train internal teams and establish a data governance model
• Build the foundation for scalable, safe, and iterative AI use

What You Get

1. 1. A clean, governed data layer ready for AI (i.e. enriched data that is ready for AI Search and powers agentic commerce)
2. 2. Confidence in your data quality and system integrations
3. 3. Team enablement to scale use cases
4. 4. Reduced time-to-value for AI tools coming to market
5. 5. Competitive advantage through speed and precision

About Maze (how we stack up)

Maze is built for enterprise brands who need to modernize their tech stack, operate with lean teams and move quickly to deliver results. 

We’ve been in your shoes.

Maze was founded by seasoned operators with firsthand experience running P&Ls and scaling commerce businesses. Over 60% of our team comes from brand-side roles - we know the real-world challenges because we’ve lived them.

We bring platform-native depth.

Our teams average 15+ years of experience working with enterprise retailers across Salesforce Commerce Cloud, Shopify, and modern MarTech stacks. We know how to drive revenue - and we know how to execute.

We help future-proof your business.

From replatforming and AI integration to org design and tech modernization, we partner with clients to move fast and build for the long term. We don’t just keep up with innovation - we help lead it.

Read to fix your foundation? We’re ready to help! Contact us.