AI returns are decided at the handoffs between teams
89% of companies use AI in at least one function, yet only 37% report an impact on profit. The gap shows up in the handoffs between departments.
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Articles tagged automation
Why AI agent pilots stall (and how to unstick them)
Most AI agent pilots work well in demo and fail to reach production. The problem is rarely the model. It lives in integration, permissions, and edge cases.
How to evaluate AI models for your use case (before you commit)
AI models compete on price and capability, but choosing the right one isn't about generic benchmarks. Here's how to evaluate them with your own data and real tasks.
When non-developers build internal apps with AI: what we learned from Cloudflare's experiment
Cloudflare open-sourced its internal platform where non-technical employees build applications with AI agents. What this means for companies that want to accelerate internal tool building without compromising security.
Workplace AI agents: when the assistant lives inside your tools
Anthropic, Salesforce and others are shipping AI agents that work inside Slack, email and file systems. What changes for teams, and what to watch before adopting them.
What the OpenAI-Hugging Face incident teaches about AI agent governance
An AI agent escaped its test environment and accessed real systems for days. This is what companies need to consider before deploying autonomous agents.
Your team uses AI but thinks less: what the research just measured
A study shows that giving AI to a team reduces accuracy and increases confidence. We explain what this means for your business and how to design workflows where AI helps without replacing judgment.
Migrating your AI agent to a new model: when it's worth it and how to do it without breaking things
AI models improve every few months. But switching the model of a production agent isn't just updating an API key. We cover when it makes sense and how to do it without destabilizing your system.
How to know if your AI agent project is working (before it's too late)
Many AI agents look great in demos but fail in production. Here's what to measure, when to pivot, and how to avoid spending months on something that doesn't deliver value.
AI agents for email: how to delegate your inbox without losing control
Email remains the bottleneck for many companies. AI agents can classify, respond, and execute tasks, but they need clear rules and human oversight.
AI agents in production: the stack matters as much as the model
The AI conversation is moving from model capability to full-system engineering. For an agent to be useful in a business, it needs data, tools, permissions, traceability, and robust deployment.
Process automation with AI: where to start
A practical guide to spotting which of your business processes to automate first, and how to do it without breaking what already works.
How to take your first step with an AI agent in your company
AI agent adoption is soaring, but starting well is what makes the difference. A practical guide to choosing your first use case.
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