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Data & AI Strategy

Data strategies built for the AI era

Every organization has AI ambition, yet far fewer have a data strategy capable of delivering it. A strategy isn't a stack of paper; it's a roadmap with clearly defined deliverables, tied directly to business goals, that tells you what to fix, build and govern first so outcomes are underpinned by trusted data foundations.

Amplifi shapes, reviews and executes data strategies that make business ambitions possible.

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10 years

Recognized by Gartner®

DCAM®

Authorized Partner

a critical capability

Why data & AI strategy matter now

AI doesn’t fail for lack of ambition. It fails for lack of a plan for the data beneath it.

Businesses and technology change constantly, so rigid strategies that plan years ahead no longer work. What organizations need is a lean, adaptive data strategy that links every initiative to a business objective, prioritizes the data most critical to success, and can change course when priorities shift.

AI has raised the stakes. It acts on data automatically and at scale, so gaps in quality, governance or architecture that once affected a single report now shape thousands of decisions instantly. A data strategy in the AI era answers the questions that matter before the investment is made: which use cases create value, how ready your people, processes and technology are to deliver them, how the work will be funded, and what has to be true of your data foundations for outputs to be trusted.

Gartner® has noted that AI adoption depends on the readiness of people and processes, not just the size of the investment

Start with where you are

You can't plan a route without knowing your starting point. Every engagement begins by measuring your data capabilities against where the business wants to be.

Business challenges

Do any of these sound familiar?

No honest baseline of your data capabilities, so no way to prioritize. Everything feels urgent, nothing gets funded properly, and strengths and weaknesses are a matter of opinion rather than evidence.

Different departments and functions have different visions for data and AI, from IT across to C-suite. Budgets are approved without a business case, tools are bought without a plan for the data feeding them, and expectations diverge further every quarter.

You've been handed a data strategy, perhaps by a previous partner, and it's sitting in a drawer. Too abstract, too technical, or not connected to how the business actually operates, so nothing was ever operationalized.

Leadership wants AI results, but nobody can say which use cases are viable, what the data needs to look like to support them, or what it will cost. Pilots start, stall and get quietly shelved.

our clients

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

Guide download

6 expert tips for building your Data Strategy

Create a data strategy that delivers measurable business value. Discover 6 expert tips to align data with business goals, build momentum with quick wins and turn strategy into actionable outcomes.

our methodology

How we build your data strategy

Data strategy means different things to different people, and every one is unique. Whether you need to shape a strategy from scratch, validate one you already have, or execute a roadmap that's stalled, we bring a tried and tested methodology and the delivery experience to back it up.

01

Initiate

We identify the delivery team, stakeholders and goals, align scope and expectations, and agree a workshop schedule and detailed project plan.

02

Perspective

Interviews with business leaders establish executive alignment and future direction: top-level business goals, the data objectives that support them, and the change management impact.

03

Position

A deep analysis of your current state. Workshops and interviews surface strengths and weaknesses across capabilities, operating models, teams and architecture, so initiatives can be prioritized by business impact and feasibility.

04

Plan & Activate

An actionable data strategy roadmap: phased initiatives prioritized by benefit, with timelines, resources, investment, dependencies and the organizational changes needed to support them.

Start with a Data Capability Assessment

We measure your data capabilities across six core areas and shows how ready your organization is to deliver on its data and AI ambitions. You get an evidence-based baseline, clear recommendations and a prioritized action plan, not a slide deck.

Learn more

Featured Case studies

Inputs gathered from business leaders

600+

Data & AI reccomendations delivered

21

Business-led, evidence-driven: Building Hyphen’s data strategy for growth

Amplifi helped Hyphen gain clarity on its data challenges and created a practical roadmap for change, grounded in business goals and input from across the organisation.

Why work with us

Our Data & AI Strategy expertise

Built for AI, grounded in data

We assess readiness across people, processes and technology, shape or validate use cases, and design the foundations AI needs to be trusted. Strategy and delivery under one roof.

Hearts and minds, from day one

Communication and adoption planning are built into the strategy, not bolted on at the end, so the plan survives new stakeholders and shifting priorities.

Quick wins first

The roadmap starts with early, visible value that rallies stakeholders before the longer-term initiatives arrive. Momentum matters as much as the plan.

Measured, not guessed

Our Data Capability Assessment framework and DCAM® accreditation give you an evidence-based baseline and a benchmark the industry recognizes.

testimonials

Data & AI strategies that deliver

"Amplifi have been a pleasure to deal with throughout the process. They have acted as a truly critical friend and, through several very interactive workshops, have helped us identify how our data can help us continue to provide the best possible experience for our customers."

Corinna Bishopp Executive Director of Finance at RHP

Insights

Further reading

Opinion
Adventure diaries | Is my life a data strategy in disguise? Stuart Squires, SVP Strategy and Consulting at Amplifi discusses how his life is a unique blend of data consulting and diving into adventurous pursuits. See how the two converge in this blog.

FAQs

You ask, we answer.

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

A plan that links AI ambition to the data, technology, people and governance needed to deliver it: which use cases to pursue, how ready you are, how it will be funded and what to build first.

Starting from somewhere won’t be the same as starting from scratch! Most existing strategies need validating against today’s priorities and AI ambitions, then converting into an executable roadmap. Ensuring your strategy considers your current capabilities is also essential… so it depends on it’s depth and how it was established.

Both, deliberately. Strategies built by IT alone rarely win funding; strategies built by the business alone rarely get delivered. We bring both to the table from the first workshop.

A Data Capability Assessment lands in weeks. A full strategy engagement, from Initiate to an actionable roadmap, is typically a matter of weeks or months, phased with quick wins so early findings are usable straight away – but as always, every client is unique, and so too will be your timeline.

The Data Management Capability Assessment Model is an industry-standard framework for measuring data capabilities. It’s valuable when you need a recognized external benchmark, particularly in regulated sectors. Our experts have experience working within DCAM®, but we’re not limited to a particular framework, our methodology explains our approach well!

Let's start a conversation about data.

Send us a message and one of our data experts will get back to you as soon as possible.