The first production incident in a multi-agent system almost always goes the same way. Something in the output is wrong. Someone files a bug. An engineer opens the logs. The logs show that every individual agent reported success. The orchestrator reported success. The output is still wrong. The engineer spends four hours in traces before […]
The diagnosis is almost always delivered too late. A team has spent six months building an automation workflow. It works in the demo. It breaks in production. An engineer spends two months patching it. It breaks again in a different place. Eventually the project quietly gets deprioritised in favour of something with cleaner momentum, and […]
The adoption curve for agentic AI in SaaS is moving faster than most teams expected and producing less value than most demos implied. According to McKinsey’s State of AI 2025 survey of nearly 2,000 organisations, 88% of companies now use AI in at least one business function, and 62% are at least experimenting with AI […]
Every roadmap review has the same moment. Three good ideas, one quarter of engineering time, and a conversation about which two get cut. For most of software history, that tradeoff was the entire point of roadmapping. Prioritization frameworks like RICE and WSJF all ask some version of the same question: how much value do we […]
You shipped the chatbot to take pressure off your support team and give users instant answers. The dashboards looked healthy at first. Sessions were happening. Then you looked closer at what those sessions actually contained, and the picture changed. Most people open the chat, type one or two messages, and leave. Seven out of ten […]
The conversation in your last board meeting probably included the phrase “we need to be doing more with AI.” Your investors are asking about it. Your competitors are announcing it. And somewhere in the middle of all that, you are trying to figure out whether your organisation is actually in a position to build something that works. The honest […]
You have sat through three AI demos this quarter. Two of them involved GPT. One involved a neural network diagram nobody in the room fully understood. And somewhere in all of it, your team is trying to answer a very practical question – which customers are most likely to churn next month? That question does […]
Building a GenAI prototype is not the hard part. The demo works. The outputs look convincing. The team is excited. The hard part is everything that comes next. According to Gartner’s April 2026 analysis of GenAI project failures, at least 50 percent of GenAI projects are abandoned after proof of concept. Of the projects that do proceed, […]
There is a distinction that most SaaS teams building GenAI features do not make early enough, and it costs them significantly when they discover it in production. The distinction is between users trusting your feature and your feature being trustworthy. A GenAI feature can earn user trust quickly. The outputs sound confident. The interface feels […]
Most AI chatbots sound impressive for the first 30 seconds and then lose the user. They answer questions, but they do not help people move toward a decision, a booking, or a purchase. That is the difference between a chatbot that looks good and a chatbot that actually drives business value. For product and platform […]