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Trusted data foundations

Data foundations built for the AI era

Trusted data isn't new. It has underpinned every wave of technology and business change we've seen. The spotlight now is on AI, and what has changed is speed and scale.

Amplifi builds the governed, high-quality data foundations that let organizations adopt AI and make business-critical decisions with confidence.

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200+

MDM implementations

Recognized by Gartner®

Market Guide for MDM External Service Providers

a critical capability

Why trusted data foundations matter now

AI projects are only as strong as the data foundations they’re built on.

Organizations that invest in AI without matching investment in the data underneath it end up automating their existing problems, faster and at scale.

Data foundations bring together the people, processes and technology that guarantee the data used by any human, system or AI is trustworthy. That means getting data right at rest, not in motion: the foundational layer that sits beneath analytics, reporting and AI, and it’s the reason those outputs can be relied upon.

Amplifi are the data experts in the AI era, applying decades of data expertise to a new context and delivering the foundations organizations can springboard from with confidence.

Gartner says organizations with successful AI initiatives invest up to 4x more in data and analytics foundations.

Sub services

Explore our data foundations services

Governance

We help organizations govern data, knowledge and AI as one trusted information ecosystem, balancing enablement and control to accelerate value rather than slow it down.

Most organizations aren't short of data

They're short of data the business can trust. Every challenge here is one we've helped fix at the source.

Business challenges

Do any of these sound familiar?

Data sits in silos across the business. Teams can't agree on what a customer, product or supplier is, let alone find the single version of it. Every report starts with a reconciliation exercise.

You've scaled quickly, organically or through acquisition, without the foundations in place. Legacy ERPs and systems inherited through M&A are now standalone silos, and getting a consistent view of customers or products across the merged business is a constant struggle. Perhaps you bought an ERP years ago expecting it to fix data quality; it's now just another silo.

Customers, partners and regulators are asking you to report data up and down the supply chain in ways you never have before. Compliance requirements keep arriving, from the EU AI Act and ESG reporting to sector rules like Natasha's Law, echoing the way data governance first grew out of SOX and Basel II.

Leadership has funded the AI, but skipped the "boring" data work. Pilots stall, models return unreliable answers, and the gap between ambition and data reality gets more expensive every quarter.

our clients

Which leading brands have trusted Amplifi with their data and AI?

Guide download

Data Detectives: The Case of Trusted Data Foundations

How to uncover the data problems undermining AI, analytics and trusted decision-making, with five case files, practical first moves and a self-check to test your own foundations.

our approach

Trusted Data Foundations with Amplifi

Our approach combines specialist trusted data expertise with unmatched practical delivery experience. We tailor every engagement to your organization's data landscape, maturity and goals, whether you're working out how to approach data foundations for the first time, establishing them, or re-laying foundations that haven't held up.

01

We fix data at rest, not in motion

We get data right at the source, so it doesn't need fixing every time it's used. It's the difference between a foundation and a workaround.

02

We diagnose before we prescribe

Every engagement starts by identifying your specific pain points and understanding what's really going on, then resolving it through the right mix of people, process and technology.

03

We build and govern, not just install

We design the systems and processes that control the creation, curation and lifecycle of your data, especially master data, and govern any changes to those structures once they're agreed.

04

We leave you able to run it

We deploy data platforms, build the processes that run on them, train your people to use them, and establish the operating models your organization needs to run governance and data management long after we've left.

Featured Case studies

Data domains unified

3

Consolidated platforms created

1

Cooke Aquaculture built a centralised data foundation with multi-Domain MDM

Cooke Aquaculture partnered with Amplifi to strengthen multi-domain MDM for product, customer and vendor data, improving data governance, and building a scalable foundation for future growth.

"We knew we needed a strong foundation to minimise any risks and ensure our data efforts aligned with business goals."

Adam Todd Vice President of Information Technology at Cooke

testimonials

Trusted to deliver real data and AI outcomes.

"We needed a partner who could operate across the full data chain, Amplifi stood out as true data specialists. They didn’t simply implement Stibo Systems' MDM platform, they designed and delivered the foundations that make product data reliable, governed and operationally usable at global scale."

Phil Scully VP Digital & EMEA Technology at RS Group

insights

Further reading

Opinion
Dos and Don’ts of Evolving MDM for Modern Data Ecosystems Modern Data Ecosystems demand flexibility, not a full reset of your data strategy. From AI integration to data mesh principles, explore practical guidance to adapt MDM and PIM for today’s business needs, ensuring scalability, agility, and robust data governance.

FAQs

You ask, we answer.

The questions we hear most from data and AI leaders, and how we approach them.

The combination of data governance, data management and data platforms that ensures the data used by people, systems and AI is accurate, consistent and reliable at its source.

AI acts on data automatically and at scale. A data quality issue that once affected a single decision can now be replicated thousands of times in seconds, so the cost of weak foundations has risen sharply.

Technology alone doesn’t create trusted data. Without governance, defined ownership and the processes around it, a new platform often becomes another silo. Foundations are about people and process as much as tools.

Not entirely, but in parallel at minimum. Organizations that fund AI without funding the data work underneath it typically stall at pilot stage. A capability assessment shows where the gaps are and which to close first.

With a diagnosis. Our Data Capability Assessment baselines your current state across governance, management and platforms, connects it to your business and AI priorities, and gives you a prioritized roadmap. Request one on the contact form below!

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