Notes from the practice, written by hand
Essays, working papers, and research dispatches from the studio’s own engagements. No frameworks, no thought-leadership tax — only what we have learned, and would defend on a Tuesday.
Earlier from the studio
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DispatchAI Agent Governance: Permissions, Audit Trails and Board-Grade Model Risk
As enterprises deploy AI agents with the ability to make decisions, access systems, and execute business actions, governance can no longer be an afterthought. This blog explores how organizations can establish clear agent permissions, maintain reliable audit trails, and build board-grade model risk frameworks to ensure AI agents remain secure, accountable, and aligned with business and regulatory requirements.
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DispatchBuild vs Buy AI Agents: How Enterprises Should Evaluate Cost, Control and ROI
Should enterprises build AI agents in-house or buy ready-made solutions? The answer depends on more than upfront cost. This blog explores how businesses can evaluate the build vs buy AI agents decision across development costs, customization, control, security, scalability, integration, maintenance, and long-term ROI. Learn when building makes strategic sense, when buying can accelerate deployment, and how enterprises can choose an approach that delivers measurable business value without unnecessary complexity.
DispatchHow to Build Enterprise AI Agents: Architecture, Guardrails, Tools & Human Oversight
Building enterprise AI agents requires more than connecting a large language model to business data. It involves designing the right agent architecture, integrating reliable tools, establishing security and governance guardrails, and defining where human oversight is essential. This blog explains how enterprises can build AI agents that are secure, scalable, accountable, and aligned with business goals while balancing autonomy with human control.
DispatchAgentic AI Use Cases for Enterprises in 2026: Where AI Agents Deliver Real Business Value
Agentic AI is moving enterprises beyond simple automation toward intelligent systems that can plan, make decisions, and execute tasks with minimal human intervention. In this blog, explore the most practical Agentic AI use cases for enterprises in 2026, from autonomous customer support and intelligent IT operations to sales, finance, supply chain, and business process automation. Discover where AI agents can deliver measurable business value, improve operational efficiency, and help enterprises build more adaptive, scalable workflows with the right AI strategy.
DispatchAI Beside the Workflow vs AI Inside It: Why Most Deployments Change Nothing
AI can sit beside a workflow without actually changing how work gets done. This article explores why many AI deployments fail to deliver meaningful business impact because they operate as disconnected tools rather than being embedded into core processes. It examines the difference between adding AI to existing workflows and redesigning workflows around AI, while highlighting the operational, technical, and organisational factors leaders need to consider to turn AI adoption into measurable transformation.
DispatchWhat AI Transformation Actually Costs in 2026, and Why Almost Everyone Budgets It Wrong
AI transformation in 2026 is no longer a single software purchase it is a business-wide investment spanning strategy, data, infrastructure, AI systems, integration, governance, talent, and ongoing adoption. This article breaks down what AI transformation actually costs, the hidden expenses most organizations overlook, and why traditional technology budgets often underestimate the true cost of moving AI from pilot to production.
DispatchThe First 90 Days of AI Transformation: A Week-by-Week Plan That Holds Up
The first 90 days can determine whether an AI transformation becomes a scalable business capability or another stalled technology initiative. This week-by-week guide outlines what organisations should prioritise during the first three months from assessing AI readiness and selecting high-value use cases to building governance, aligning teams, launching pilots, and measuring early business outcomes.
DispatchAI Strategy, Adoption and Transformation: What Boards Actually Need to Understand
AI is no longer just a technology decision it is a board-level business priority. Leaders need to understand where AI can create measurable value, what risks it introduces, and how it affects people, processes, data, and long-term strategy. This blog explains the key aspects of AI strategy, adoption, and transformation that boards need to evaluate before making enterprise AI investments.
DispatchThe 30-Question AI Readiness Test: Where Does Your Business Actually Stand?
AI adoption starts with readiness, not technology. Before investing in enterprise AI, organizations need to assess their data, infrastructure, people, processes, governance, and business goals. This 30-question AI readiness checklist helps enterprises identify gaps, measure their preparedness, and determine the practical steps needed to move from AI experimentation to scalable, business-driven implementation.
One email a quarter No frameworks
The studio’s reading list, three pieces we are working on, and one number we are watching. Sent only when there’s something worth saying — typically four times a year.