Case Studies, Features and Podcasts

NHS Case Study

On day one of the engagement, Monetical presented the Chief Information and Knowledge Officer with a detailed program scheduling. Consisting of detailed work instructions for each phase of the program. The complex program had been broken down into a series of individually, prioritised use cases, designed to deliver small incremental units of value. Click here to read

Cambridge Assessment Case Study

Over the course of the 2year program, 5 key financial and operational benefits were associated with having access to the wealth of consulting advice: Productive execution, Performance challenges, Consistency within complexity, Empower inexperience, Incremental cost savings Click here to read Click here to watch

Diageo Case Study

In 2019 Diageo commenced its enterprise agility transformation. Throughout the first year of their transformation, Monetical’s enterprise agility blueprint was leveraged by the Diageo coaching and training staff to create a detailed program schedule. Click here to read Click here to watch

Why Your Generative AI Initiative Is Likely to Fail

It’s a scenario that plays out in organisations everywhere. A new pilot is underway —whether for a cultural transformation, a new software application, or more recently the adoption of Generative AI, all begin with incredible promise. The initial results are stellar, performance gains are clear, and the team is energised. It looks like a guaranteed success. Click here to read

Beyond the Hype: 3 Unexpected Truths About Mastering Enterprise AI

In today's competitive landscape, the pressure on organisations to adopt Generative AI and embrace Agile practices is immense. This rush often leads to a state of chaos, where teams pursue ambitious initiatives without a clear roadmap, resulting in confusion, wasted effort, and disappointing outcomes. The race to innovate becomes a scramble, rather than a structured march toward a strategic goal. Click here to read

The Real Product of Your Gen AI Pilot

For many organisations, the pressure to adopt Artificial Intelligence is immense and has led to some fooling and rapid investment. It's seen as the key to future efficiency, innovation, and competitive advantage. Yet, this pressure is matched by a significant fear—the fear of high costs, daunting complexity, and the risk of a high-profile failure. This hesitation is understandable, especially when the default first step often involves engaging traditional consulting firms for a massive, multi-month, six-figure discovery process that can be prohibitive for many organisations. Click here to read

The Era of Product & Project Management Convergence

"AI is catalysing a merger between Strategy (Product Management) and Execution (Project Management), effectively unifying two historically separate disciplines into one."”. Click here to read

Optimised Generative AI Ideation & Prototyping

In this article we attempt to answer the following question: “what new competencies and activities must Product Management develop so that they remain a highly valued part of the organisation, in the face of emerging Generative AI?”. Click here to read

Product Management to Embrace Generative AI

Monetical is a digital consulting firm. Its digital consulting self-service provides organisations the knowledge they require to retain ownership of their initiatives. No longer dependent on traditional consulting firms to succeed. Click here to read

Impact of Generative AI on Enterprise Agility Coaching & Consulting

In response to the World Economic Forum (WEF) predicting as much as 60% of roles in the West will be impacted by Generative AI - we attempted to to find the answer to the following question: “what competencies must Agile coaches and consultants develop to remain valuable to the organisation?” Click here to read

Generative AI Powered SDLC

In part three of our Generative AI SWOT analysis - we turn our focus towards ‘how organisations can embrace Generative AI to optimise their software development life cycle methodology. Click here to read

Measuring Agile capability and maturity

Delivering Agile is hard work. Many organisations and teams that embark on a journey to transform themselves from traditional waterfall to an Agile process of value delivery, find that Agile principles are easily described but hard to embed. Click here to read

Why One-Size-Fits-All Fails: The Power of Tailored Change Management

Organisations today are drowning in frameworks yet starving for results. We are witnessing a curious paradox in the corporate world: while initiative owners have access to an unprecedented library of change management (CM) models, most enterprises remain stubbornly wedded to a single, rigid "standard" methodology. Discover how Monetical provides Change Leads and Initiative Owners with the tool and insight to break the mould. Click here to read

The Future of Expert Advice

The consulting landscape is undergoing a fundamental transformation. The legacy model of expensive, slow, and temporary engagements is becoming obsolete, ill-suited for the agility required in today's market. By leveraging digital platforms and dynamic expert networks, a new model is emerging—one that is more accessible, continuous, and ultimately more effective at building lasting organisational strength. Click here to read

Our Open Implementation Philosophy Explained

REVISED JULY 2025 - January 2012, MONETICAL presented at a British Computer Society working group its white paper titled: Our Open Project Implementation Philosophy. As MONETICAL now embarks on the dramatic expansion of the underlying capabilities of its 360° digital consulting self-service (becomes fully integrated with Google Gemini),. Click here to read

Knowledge as a Service

This article highlights the challenges organisations face when trying to engage Agile expertise during and beyond their Agile transformation. Discusses how Monetical are proving themselves an essential component of successful transformations and an Agile organisation. Click here to read

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Creating High Quality Generative AI Prototypes

Monetical’s consulting self-services offers teams with limited budgets and experience—access to expert advice for building high-quality Generative AI prototypes.

No more dependence on pricey consultants. With stronger prototypes come stronger business cases for the future.

Efficiently Develop Your Organisation's First AI Agent

Our AI Agent Pilot program, provides easy to follow advice, ensuring your first AI Agent Pilot is a success. Spanning 8weeks the AI Agent Pilot program ensures critical success factors such as AI ethics, large language models, Agent frameworks, human-in-the-loop processes, and the underlying data management factors are all considered, ensuring the AI Agent is in service of a strategic goal and not technology pandering.

Digital Consulting Self-service Explained

Monetical is an digital consulting self-service. Providing organisations with intelligent advice and implementation tools to optimise their digital and cultural transformation initiatives. - Expertise based on the stated program aims and challenges - Ensuring everything you require is at your fingertips - Taking the risk out of the planning process.