Insights
Blog
Thoughts on revenue, AI agents in sales and outcome-driven go-to-market.
- Change management for AI adoption: agents only work once the change is ledHow to lead the introduction of AI agents in sales along Wilfried Krüger’s phase model – from initiation to consolidation – and who is accountable for what in each phase.
- Revenue: Why we want to be paid for results – not for activityThe R in REVAGO stands for revenue – securing and growing it, with existing and new customers alike. Why that goal is the yardstick for AI agents in sales, and what results-based pay means once the system is up and running.
- Evaluate & Enable: Why AI agents are a leadership decisionThe E in REVAGO stands for Evaluate & Enable. Why you, as leadership, need to decide on goals, mandate and accountability for AI agents in sales – and why you still do not have to run the agents day to day.
- Value: How we make the business value of AI agents assessableThe V in REVAGO stands for Value. Why every use case you commission has to make sense in terms of effort and benefit – and how baselines, measurement points and exit criteria make the value of AI agents assessable.
- Agents: AI agents as the new workforce in salesThe A in REVAGO stands for Agents. What sets AI agents apart from chatbots and workflows, which tasks they can take on in sales – and why autonomy and human-in-the-loop are designed together.
- Go: From Pilot to OperationThe G in REVAGO stands for Go. Why so many AI initiatives stall at the pilot stage – and who needs to do what to turn a clear mandate into a running process.
- Operations: Why an Agent Is Never FinishedThe O in REVAGO stands for Operations. Why agentic revenue systems need ongoing operation, what REVAGO is responsible for – and what Revenue as a Service means.