AI in marketing and sales
AI should remove friction from work that can be checked. We focus on the process first, then choose models and tools that make that process faster, clearer or more reliable.
From experiments to an operating layer
A good pilot begins with a specific workflow: collecting research, structuring a brief, drafting content from verified sources, comparing campaign variants or summarising sales feedback. We identify the inputs, expected outputs, owners and quality checks before automating a step.
Where human oversight belongs
A model can suggest a structure, compare options and speed up routine analysis. It should not become the unchecked authority on positioning, factual claims, personal data or reputation. Higher-risk decisions require stronger review, access boundaries and the ability to reverse an action.
What success looks like
We ask whether the workflow saves time without lowering quality, makes expertise easier to reuse and improves a decision or a business outcome. An impressive demonstration is not the same thing as a useful deployment.