Traditional governance frameworks are often too rigid, too slow, or too disconnected from business priorities. Passerelle takes a different approach. By applying Agile principles to data governance, organizations can start small, deliver quick wins, and scale trust across their data estate. Our consulting services focus on building a practical, business-aligned governance posture that improves data usability, transparency, and compliance without slowing down innovation.
Data growth, regulatory pressure, and the rise of AI have made governance a top priority, but many programs stall because they are treated as one-time, enterprise-wide mandates. Passerelle’s Agile Data Governance consulting services are designed to break through that barrier.
We help organizations treat governance as a journey, not a single project. Using iterative methods, we align governance efforts with real business needs, proving value early through use cases like data quality monitoring, business glossaries, or compliance automation. Each success becomes a building block for broader adoption.
Our consultants bring both technical expertise and organizational change experience, guiding teams through the design, implementation, and scaling of a governance program that fits their culture. By embedding governance into daily workflows and connecting it to measurable outcomes, we create durable practices that support analytics, AI readiness, and enterprise-wide trust in data. Ready to get started? We offer a complimentary Data Governance Workshop to help you identify immediate priorities.
“People started looking, not just for the data, but thinking about why they wanted it and the problems they were trying to solve. Now, we are delivering insights, not just data dumps.” Josh Nash, SVP and Director of IT and Camden National Bank. Camden National Bank reclaimed 30TB of storage and built five Data Marts that hold 80% of the bank’s data.
We identify quick wins such as standardizing business terms or setting up data quality checks, proving the value of governance early and creating momentum.
Governance succeeds when IT, data owners, and business teams work together. We facilitate shared accountability and communication across roles.
Our focus is not just on preventing risk but on enabling trusted, accessible, and business-ready data that accelerates decision-making.
We reduce manual overhead by integrating governance into your data stack with automation tools for ingestion, lineage, quality checks, and observability.
We align governance to industry regulations while keeping processes practical and scalable, so teams meet requirements without slowing down.
By modernizing your governance posture, we ensure your enterprise data is prepared to fuel AI initiatives safely and effectively.
Traditional governance often feels like a massive, top-down project that delays results. Agile Data Governance allows you to start with small, high-impact initiatives — like data quality monitoring or establishing a business glossary — and then scale as value is proven. This builds momentum, reduces resistance, and ensures governance grows in step with business needs.
Compliance is important, but governance is about much more. Done right, it’s about enabling business teams to access trusted, well-defined data when they need it. Agile Data Governance balances risk management with usability, turning governance from a burden into a business enabler.
There’s no one “silver bullet” tool. Passerelle helps organizations build a toolkit that fits their environment — often combining data cataloging, observability, access controls, and automation. Our role is to integrate these technologies into a practical governance framework that works for your business.
AI models require reliable, well-documented data. Without governance, models risk bias, errors, and compliance violations. Our approach ensures your data estate is observable, trusted, and secure, creating a safe foundation for scaling AI across the enterprise.
