The Case Against Building an Enterprise Chatbot
A universal chat interface often shifts the work of understanding systems onto users. Focused workflow products usually create more value.
Enterprise AI
Articles tagged with Enterprise AI.
Enterprise AI
Your Data Is Not Ready for AI, and That’s Fine
Data readiness is not a binary gate. Start with the sources and quality level required by one valuable decision.
Stop Asking Whether the Model Is Accurate
Accuracy without a defined task, distribution and consequence is not a useful production measure.
Enterprise AI Fails at the Handoffs
The model may perform its task well while the wider system fails between people, tools, decisions and exception queues.
AI Observability Is More Than Token Counts
Useful observability connects requests, evidence, decisions, actions and outcomes without retaining data indiscriminately.
Microsoft Copilot Isn't Magic. It's Architecture
Copilot experiences are shaped by identity, permissions, retrieval and integration architecture long before a prompt reaches the model.
Why Prompt Engineering Won’t Save a Broken Workflow
Prompts can shape model behaviour, but they cannot repair missing evidence, unclear ownership or wasteful handoffs.
Why Most Enterprise AI Projects Fail (And How to Avoid It)
Enterprise AI projects fail when compelling demos are mistaken for operational systems. The remedy is a narrow outcome, owned data and production evidence.
AI Governance Doesn't Have to Kill Innovation
The best AI governance creates clear, fast paths for experimentation while reserving heavier controls for decisions that can cause real harm.
What Production-Ready AI Actually Looks Like
Production readiness is not a model benchmark. It is the ability to operate, explain, recover and improve a complete AI system.
Stop Measuring AI Adoption by Licence Activation
Activation and prompt counts measure access and curiosity. Leaders need evidence that AI changes valuable work.
Why most Copilot pilots never become operating systems
The technical demo is rarely the hard part. Production adoption depends on permissions, content ownership and an operating model that survives the launch meeting.
Your AI Strategy Is Probably Just a Vendor List
A sequence of product purchases is not a strategy. Real AI strategy makes choices about advantage, operating capability and where not to invest.
The Hidden Architecture Behind Every AI Assistant
The conversational interface is the visible edge of a system spanning identity, retrieval, policy, tools, telemetry and human escalation.
The Real Cost of Enterprise AI Is Operational
Model tokens are visible, but integration, verification, support, data ownership and change management dominate many enterprise AI costs.