AI · Digital Transformation · Business Strategy

We help companies think about AI and Digital in the context of their business strategy.

Digital technology and AI have proven their power to drive commercial growth at scale. Our approach places paramount importance on end-customer value — and the Business Model to deliver it.

Digital Transformation

Focused on Customer Value

Digital technology and AI have proven their power to drive commercial growth at scale. However, embarking on a transformation journey solely centred around technology can be a costly mistake.

Our approach places paramount importance on end-customer value, and the engine — the Business Model — to deliver it at scale.

For those who get it right, the upside can be huge: new customer experiences, new revenue streams, competitive advantage, increased profitability and deeper customer relationships.

Our Approach

Structured, proven methodology

Every engagement begins with research — into your business, your industry and the technologies changing both. When we convene your leadership team, we arrive with insight, not questions.

01

Deep Research

We immerse ourselves in your strategy, structure and competitive landscape — mapping how AI and digital technologies are being deployed across your industry and wider ecosystem.

02

Cross-Functional Workshop

We bring senior leaders together from across the organisation, combining our research with cross-industry insight to define the opportunity, proposition and plan.

03

Business Architecture

We design the commercial model — costs, pricing, revenue — alongside the capabilities, channels and partnerships needed to deliver at scale.

04

Agreed Action Plan

We deliver a clear, actionable plan — with defined ownership and a shared understanding of the organisational changes required for success.

Business Model Innovation

Evolved Business Models:
Common Patterns

Over the last 10 years, we have guided companies through the following challenges and opportunities.

The increasing shift to "as-a-service" business models, and the economics behind them — for the vendor, the customer and the channel.

How subscription models need to be adapted for different industries to address their OpEx and CapEx needs.

The move from cost-based pricing to value-based and outcome-based pricing: straightforward concepts, but challenging to get right.

Driving focus with consumption-based incentive models — for sales teams and channel partners.

Shifts in organisational capability: new capabilities like Machine Learning Operations and Data Science, and the need to evolve core functions.

Building the right commercial model, costs and revenue structures to sustain new service offerings at scale.

Real World Examples

Business Model Innovation in Practice

Elevator company

Elevator company (Germany)

New elevator-as-a-service offering frees up working capital for end-customers.

Industrial robot manufacturer

Industrial robot manufacturer (Switzerland)

New subscription services protect margin and differentiate in a commoditised hardware market.

Independent software vendor

Independent software vendor (US)

Move from perpetual licencing to subscription licencing reduces up-front costs for new customers.

Milking machine manufacturer

Milking machine manufacturer (Netherlands)

New service uses AI feedback loop to optimise milk quality, delivering 15% milk price premium to end-customers.

Metalworking company

Metalworking company (Sweden)

New AI-based predictive maintenance service offering reduces downtime by 50%.

Pipeline infrastructure vendor

Pipeline infrastructure vendor (Germany)

New AI modelling and simulation offerings vastly reduce risk and cost of network pipeline pressure testing.

Our Team

The people behind Aitheria Partners

Patrick Ward

Patrick Ward

Principal Consultant

Building on 30 years' commercial experience, Patrick established Aitheria Partners to help businesses define new Business Models and adopt innovative technologies like AI, Data Analytics and Connected Devices to enhance products, streamline operations, increase margins and achieve sustainable growth.

Patrick began his career in Software Development at Nortel and has held leadership roles in the UK, Canada and Ireland across telecoms, internet retail, financial services, cloud computing and business consulting. Most recently, Patrick spent 12 years at Microsoft — originally managing the P&L for the Windows Business in Ireland, and later as Director of IoT Partner Ecosystem for Microsoft EMEA, leading consulting engagements with Bosch, Siemens, ABB and many others.

Patrick is a part-time Lecturer at UCD Smurfit Business School and holds a Degree in Electronic Engineering from Technological University Dublin and a first-class honours MBA from UCD Smurfit Business School.

Richard Jones

Richard Jones

Solution Architect

An IT professional since 1995, Richard started his career as a developer for an independent software vendor in the insurance industry. He has worked for many years in large Systems Integrators in Architect roles for clients across multiple sectors, including extensive experience with UK Government.

Richard joined Microsoft Consulting Services in 2012 as a Solutions Architect, focusing on collaboration and Business Intelligence solutions. In 2016 he joined the Global IoT Partner Team working across the EMEA region to drive adoption of cloud and edge-based IoT and Advanced Analytics technologies.

Richard's approach to Solution Architecture is business-value focused — foremost about asking the right questions, then structuring responses clearly so all stakeholders can contribute to the decision-making process. He is based in the West Midlands, England, and holds an Honours Degree in Physics from the University College of Wales, Aberystwyth.

Customer Stories

Case Studies

We established Aitheria Partners in May 2023. We're proud to showcase some of our recent projects. Click on each logo for more information.

Gen AI Whitepaper
Driving Business Value with Generative AI in the Enterprise

Driving Business Value with Generative AI in the Enterprise

A Whitepaper for Business Decision Makers

  • A living reference point to help business decision makers understand key concepts, common use cases, business value together with critical risks and mitigations for GenAI.
  • Options for GenAI adoption, and the factors to consider in evaluating them.
  • Principles of Governance and Change Management to maximise the benefits and minimise the risks.
Download Whitepaper
Get in Touch

Ready to unlock the digital
potential of your business?

Let's discuss how AI and Digital can create exceptional value for your customers.

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