Agents and workflows
Decision framework for revenue workflow automation
Not every revenue workflow should be fully automated. Some benefit from AI assistance, others from full automation.
The wrong choice wastes resources and frustrates teams. Full automation in the wrong place creates quality problems.
Leaders need a clear framework to decide where AI should replace, assist or stay out of the way.
AI can now handle complex workflows that previously required human judgement: qualification, personalisation, objection handling.
The question is no longer 'can AI do this?' but 'should AI own this decision or support a human?'
New architectures enable human-in-the-loop at specific decision points, not binary automation or manual.
Keep reading
The stages between “can you quote this?” and money in the bank — and which of them an automated workflow can genuinely own.
Automated workflows fail loudest at the moment they pass work to a person. How to design hand-offs that carry context instead of dropping it.
Next step
Talk to us about implementing these approaches in your organisation.