The intelligence layer
Choose the model for the job.
Compare OpenAI, Anthropic, Google and open-weight options on quality, context, deployment and real operating cost.
Explore leading modelsIndependent field notes / Business AI
The next generation of business AI is more than a better chatbot. Understand the models, agents and systems changing how work gets done.
Find your starting point01 / The reading list
Practical comparisons, implementation trade-offs and questions worth asking before you buy.
The intelligence layer
Compare OpenAI, Anthropic, Google and open-weight options on quality, context, deployment and real operating cost.
Explore leading modelsThe decision layer
What makes a system an agent, where autonomy helps, and how to design permissions, approvals and measurable stopping rules.
Understand intelligent agentsThe delivery layer
A buyer’s framework for managed AI operations, customer-service agents and the contracts behind automated outcomes.
Evaluate agentic servicesThe connection layer
Where Zapier, Make, n8n and Power Automate fit—and why reliability often matters more than the number of connectors.
Compare automation platformsThe emerging layer
Explore coding assistants, enterprise search, browser agents and voice systems. Separate a promising capability from a dependable business tool.
Survey emerging tools02 / Our approach
A benchmark is not a business case. A fluent answer is not a completed task.
We organise AI around the decisions teams actually face: what to automate, what to measure, where to keep a human involved and how to avoid expensive dependencies.
Name the work, its owner and an observable success condition.
Evaluate messy inputs, missing permissions and costly mistakes—not just ideal demonstrations.
Include review time, integration, governance and recovery in the cost.
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