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The AI conversation in enterprise data has accelerated, from copilots that suggest code to automation that speeds up routine workflows. But for Chief Data Officers and enterprise data leaders, the real challenge isn’t just faster development. It’s fundamentally redefining what productivity looks like in the modern data stack.

TL;DR

Enterprise data teams achieved 271% ROI and 60-70% time savings with Matillion's platform – even before agentic AI
Maia represents the next evolution: autonomous data engineering that could amplify these gains significantly
Real enterprise outcomes: tool consolidation, reduced migration costs, and multi-million dollar GSI savings
Agentic AI shifts data teams from pipeline maintenance to strategic impact

Matillion helps anyone in the data team move, transform, and automate pipelines faster, regardless of coding capability, all within the Data Productivity Cloud. Agentic AI is the next step.

Agentic AI in the modern data stack means autonomous systems that can build, maintain, and optimize pipelines end-to-end, going beyond automation to deliver business outcomes.

The Numbers Don't Lie: Data Productivity Transformation Is Already Happening

Independent analysis shows the scale of change possible when enterprises consolidate their data stack:

Forrester's Total Economic Impact™ of Matillion revealed:

60% time saved building pipelines
70% time saved managing pipelines
60% time saved fulfilling data requests
Up to 271% ROI

Market validation:

Matillion was named a Challenger in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools for the second consecutive year

But here's the key insight… These impressive gains were achieved with Matillion's Data Productivity Cloud – before the agentic AI evolution.

With Maia now delivering autonomous data engineering, these outcomes could improve dramatically.

Why Copilots Fall Short: The Real Enterprise Challenge

Today’s data teams are stretched thin. They’re expected to migrate legacy systems, keep pace with AI innovation, and deliver analytics at scale – all while budgets tighten. Copilot-style AI can speed up tasks, but it doesn’t address structural problems:

Tool sprawl across multiple vendors, each with its own costs and skill requirements
Expensive legacy migrations from platforms like Informatica, Ab Initio, or Alteryx
Over-reliance on Global Systems Integrators (GSIs) - that address data engineering complexity by adding expensive human resources, relying on tools like Copilots that do not reduce team size or lower costs for their clients

Copilots may help individuals, but they don’t solve at the organizational level.

Agentic AI does.

Agentic AI: The Biggest Step-Change in Data Engineering in a Decade

Agentic AI goes beyond automation or copilots. It means an infinitely and immediately scalable, autonomous team of virtualized data engineers that can build, maintain, and optimize pipelines end-to-end, delivering business outcomes without constant human intervention.

The shift from automation to agentic AI is the biggest step-change in data engineering we’ve seen in a decade. It’s not just about faster pipelines, it’s a fundamental change to data teams themselves. Ian Funnell Data Engineering Advocate Lead| Matillion

Maia: Autonomous Data Engineering at Enterprise Scale

Maia runs inside Matillion's Data Productivity Cloud as an agentic data team, delivering truly autonomous, end-to-end data engineering.

Building on a platform that can already deliver a 271% ROI, Maia amplifies these gains through:

Tool Consolidation and Cost Reduction - Consolidate disparate tools into one platform to reduce licenses, skills, and operational overhead.
Accelerated Migration - Automatically convert legacy code into Matillion-native formats, cutting migration time and spend beyond the current 60-70% time savings.
Optimized GSI Reliance - With Maia accelerating productivity on top of an already proven platform, organizations can reduce dependence on GSIs and explore even greater savings.
Elevated Data Engineering - Automate repetitive work so teams can focus on business-critical innovation.

With Maia, we're giving enterprises a way to migrate, consolidate, and scale data engineering without the trade-offs. Agentic AI reduces complexity, lowers costs, and frees teams to focus on value creation. Ian Funnell Data Engineering Advocate Lead| Matillion

Strategic Implications: Beyond Productivity to Competitive Advantage

For Chief Data Officers, agentic AI doesn't just deliver faster pipelines; it transforms the operating model:

Talent Strategy – Fewer high-cost specialists required; more people across the team can deliver projects
Cost Structure – Tool consolidation, reduced migration spend, and lower GSI reliance frees millions in budget
Competitive Advantage – Faster time to insight enables rapid response to market shifts, customer needs, and AI opportunities

When you start from a foundation that already delivers 271% ROI and add autonomous capabilities, the potential for transformation multiplies.

The Future Is Autonomous – And It's Urgent

It's no longer enough to automate parts of the lifecycle. As AI workloads grow exponentially and data volumes increase 10x year-over-year, traditional, manual data engineering becomes mathematically impossible. Enterprises need autonomous systems that deliver business-ready data continuously – not as a competitive advantage, but as a survival requirement.

With Maia inside the Data Productivity Cloud, Matillion enables enterprise data leaders to build on proven success, taking existing 60-70% time savings and 271% ROI to new levels through true autonomy.

The modern data stack doesn't need more tools. It needs autonomy. And with Maia, Matillion is delivering it.

Data Alchemist