AI Strategy

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Practice Area · 3 min read

AI Economics

Understanding where artificial intelligence creates measurable business value and how organizations can translate AI investments into revenue growth, cost reduction, risk mitigation, and operational improvement.

29 May 2026 AI Economics AI Strategy

Practice Area · 5 min read

Defining Transactional AI

How a distinct class of enterprise AI emerged from recognizing the importance of transaction processing systems in the AI era.

29 May 2026 Transactional AI AI Strategy

Practice Area · 4 min read

Why Domain Knowledge Matters More Than AI

AI improves business decisions, not infrastructure. As organizations increase their investment in AI, domain expertise is becoming one of the most important factors in identifying, prioritizing, and delivering meaningful business outcomes.

29 May 2026 AI Strategy Domain Expertise

Practice Area · 4 min read

Business-First AI Strategy

Connecting artificial intelligence investments to measurable business outcomes. A Business-First AI Strategy begins with business priorities, economic impact, and operational challenges before considering models, platforms, or implementation approaches.

28 May 2026 AI Strategy Business Strategy

Brief · 5 min read

AI Doesn't Have a Technology Problem. It Has an Ownership Problem.

In most enterprises, AI is owned by the people least accountable for the outcomes it is supposed to deliver. That single structural fact explains more about why AI programmes fail than any technical consideration.

12 May 2026 AI Strategy Enterprise AI

Article · 9 min read

Decision Latency: The Metric No One Tracks

Enterprise AI programmes are evaluated on model quality. None of those metrics measure the variable that most directly determines whether AI produces value in production. Decision latency is the time between when a decision could be made and when it actually is. It is the most important unmeasured number in most AI programmes.

12 May 2026 AI Strategy Decision Intelligence

Brief · 5 min read

Every AI Opportunity Starts With a Sub-Optimal Decision

Finding AI opportunities is treated as a technical exercise. It is not. AI creates value by improving decisions that are currently sub-optimal. Every AI opportunity is an improvable decision underneath. Every improvable decision is an AI opportunity waiting to be found. You do not need to know anything about AI to find them.

12 May 2026 AI Strategy AI Discovery

Brief · 5 min read

Nobody in the Room Is Asking the Right Question

Two behaviours define the opening of most AI strategy conversations. The client wants to know what competitors are doing. The vendor asks what use cases the client is interested in. Neither addresses the actual problem. Both guarantee the wrong outcome.

12 May 2026 AI Strategy AI Discovery

Brief · 5 min read

Stop Building Models. Start Mapping Decisions.

The instinct when pursuing AI is to start with technology. What capability do we have, what data is available, what can the model do. That sequence produces technically impressive work that does not move the commercial needle. The model should follow from the decision. It almost never does.

12 May 2026 AI Strategy AI Discovery

Article · 6 min read

Transactional AI Is a Distinct Category and IBM Z Is Its Home

The enterprise AI conversation has organised itself around two categories: copilots that assist humans and agents that automate workflows. Both operate above the transaction. Neither operates inside it. Transactional AI is a third category, and it is where the highest-density AI value in global commerce is currently being generated.

7 Jan 2026 Transactional AI IBM Z

Article · 5 min read

The Most Valuable AI Investment You Can Make Is Probably Not New

Enterprise AI strategy is dominated by the search for new capabilities: copilots, agents, generative interfaces. This is the wrong place to look first. The highest-return AI investments available to most large enterprises are not new decisions. They are better versions of decisions already being made millions of times per day inside operational systems that have been running for years.

9 Dec 2025 AI Strategy AI ROI

Whitepaper · 13 min read

The Evolution of Fraud and the Need for Real-Time, Layered Defence

A strategic framework for modern fraud detection in financial services. Fraud has evolved from isolated anomalies into coordinated behavioural and relational patterns that traditional architectures were never designed to manage. Addressing this requires a shift toward intelligence-driven detection aligned with how fraud actually behaves.

1 Nov 2025 Fraud Detection AI Strategy

Article · 6 min read

Critical Infrastructure Still Leaks Hundreds of Millions in Decision Value. Invisible to the Teams Who Run It.

Ask the infrastructure team how the system is performing and they will show you nine nines of availability across more than 10 billion transactions a year. Ask the business owner how much the system is costing them and they will show you $450 million in annual losses. They are describing the same system. Neither is wrong.

12 Sep 2025 Decision Intelligence AI Strategy

Article · 5 min read

The Real ROI Calculation Is Not What You Were Sold

Model accuracy is not a business metric. It is a technical specification for how a model performs on a test dataset. The business value of an AI deployment is determined by the quality of the decisions it makes in production and the financial consequences of the ones it gets wrong. Most AI investment cases are built on the first and silent on the second.

19 Aug 2025 AI ROI AI Strategy

Article · 7 min read

From AI Projects to AI Operations: When AI Becomes Operational Infrastructure

Most enterprises have AI projects. Very few have AI operations. The distinction is not semantic. Once AI is continuously influencing business decisions, it is operational infrastructure. It needs to be governed, sustained, and measured as such. Most organisations have not made that transition.

8 Jul 2025 AI Operations AI Strategy

Whitepaper · 14 min read

Why Business Journeys Are the Key to Discovering High-Impact AI Opportunities

A strategic framework for identifying, sizing, and prioritising AI investments that deliver measurable business outcomes. Most AI initiatives fail not because of the technology but because of how organisations approach the problem — starting from preselected solutions rather than systematically discovering where AI can create the most value.

10 Jun 2025 AI Strategy Enterprise AI

Article · 7 min read

Transactional AI for the C-Suite

Most executives associate AI with productivity tools, copilots, and automation. But the largest long-term enterprise opportunity may sit elsewhere — inside the operational decisions that determine revenue, risk, customer experience, and execution quality every day.

10 May 2025 Transactional AI AI Strategy

Whitepaper · 20 min read

AI at the Core: Making Every Transaction Smarter

How Transactional AI on IBM Z transforms high-value decisions into measurable business advantage. AI delivers the greatest impact when it operates at the heart of the business — inside the high-volume, high-stakes decisions that determine revenue, cost, and risk.

15 Mar 2025 AI Strategy IBM Z

Article · 5 min read

Decision Strategy vs. Data Strategy: Why Most Enterprises Are Optimising the Wrong Thing

Every large enterprise has a data strategy. Almost none have a decision strategy. The distinction matters because AI value is not realised in data. It is realised in decisions.

18 Feb 2025 AI Strategy Decision Intelligence