Most organisations run AI or AI agents in production without a clear picture of what it actually costs. Every request consumes tokens both as input and output, and those tokens translate directly into spend that's often underestimated. Because hands-on experience with AI remains limited in many companies, these costs remain unclear and, particularly for agents, can add up to substantial sums before anyone notices.
In this live session, we show how organisations can make their AI costs visible and bring them under control. Using a live comparison, we demonstrate just how much prompt design and model choice affect token usage and cost. You'll see what to look for when identifying cost drivers, and how this kind of tracking can be set up to run continuously, depending on your organisation’s setup.
Experience live demonstrations on tracking token consumption, measuring costs, and identifying effective ways to reduce expenses while maintaining high standards. Organisations frequently deploy AI in production without a true grasp of the actual costs involved. Every request consumes tokens; each model is priced differently, and with
AI agents in play, expenses can escalate rapidly and go unnoticed.
What if, in one hour, you could see live just how big these differences really are and which levers actually move the needle?
Agenda
- 5 min — The problem. Why token costs stay invisible inside most organisations, and what changes once agents are in the loop.
- 30–40 min — The cost breakdown.
- Results across different prompt styles and models, shown as a visual comparison
- A live agent optimisation — same task, different cost, same output quality.
- What "token maxing" is and why it's one of the largest controllable cost drivers we see.
- 10–15 min — Q&A and what's next. Your questions on the approach and the method
Who it's for
- Executives accountable for AI spend who want predictability rather than surprises.
- Teams running or rolling out AI agents who suspect costs are higher than they should be, but lack visibility into why.
- Anyone who currently experiences AI costs as a black box.
What you'll take away
- A concrete sense of how much prompt wording and model choice can move your costs — backed by real comparison data.
- A clear understanding of "token maxing" and how to spot it in your own organisation.
- A realistic view of where agent workflows put your budget most at risk.
- What a deeper, tailored analysis of your own usage and workflows could look like — same method, your data.
