AI cost & control: building smarter with AI
Adopting AI is easy. Using it effectively is harder. AI is changing how quickly businesses can turn ideas into action, but as usage grows, so do the costs – and the need for visibility and control. Join us for a practical look at AI cost and governance, combining a business perspective with hands-on experience with agentic AI tools. We’ll explore what organisations should measure, where smarter ways of working can reduce unnecessary spend, and how to stay in control.
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You’ve felt it: with AI, suddenly almost anything seems possible. Ideas that once took months to build can become working software in days, and AI has become part of everyday development workflows. But as adoption scales across teams, so does the cost. Simply using less AI isn’t the answer. The challenge is understanding where the cost comes from, what is actually worth optimising, and how to introduce the right level of control without slowing developers down.
As AI becomes part of everyday development, costs can quickly become difficult to track. Without visibility, it’s hard to know where optimisation will make a real difference.
As AI adoption spreads across teams, clear guardrails become increasingly important. The challenge is staying in control without slowing developers down.
Model choice, context, prompts and tooling all affect AI spend. Small inefficiencies can quickly add up across a large development organisation.
Not every token is worth optimising, and developer time has a cost too. The goal is to reduce unnecessary spend without sacrificing productivity.
The webinar goes beyond the latest trends, giving you a practical framework to make better-informed decisions about AI in your organisation.
Understand what drives AI costs as usage scales across development teams, how those costs build up across an organisation, and where optimisation can make a meaningful difference without limiting the value AI creates.
Learn what organisations should monitor, which decisions and guardrails are worth managing centrally, and where developers need the freedom to choose how they work without adding unnecessary friction.
See how context, caching and session management can reduce unnecessary spend while keeping developers productive.
Learn when more powerful models add value, and when a faster, less expensive model can do the job just as well.
Learn how focused prompts, leaner toolsets and better working practices can reduce cost and improve AI output.
This webinar is for business and technology leaders who are already exploring, adopting or scaling AI and want to ensure speed translates into sustainable business value.
Especially relevant if you:
are already using agentic AI tools across development teams and want to improve how efficiently they are used;
Its development teams are already using agent-based AI tools and would like to make their use more efficient;
are seeing AI costs increase as adoption grows and need a clearer view of what is driving that spend;
need to decide what to govern centrally and what to leave to developers as AI adoption scales;
want to introduce greater visibility and control over AI usage without slowing development teams down;
want practical ways to reduce unnecessary AI spend while protecting developer productivity.
01 | AI COSTS
What drives rising AI costs as adoption grows across an organisation, and how can businesses understand where that spend is coming from?
02 | GOVERNANCE & CONTROL
What should organisations monitor, measure and manage to keep AI usage visible, efficient and under control?
03 | DEVELOPER WORKFLOWS
Practical ways to manage context, caching and sessions more efficiently, reduce unnecessary token usage and get more value from AI in everyday development.
04 | MODELS & TOOLS
How smarter model selection, focused prompts and leaner toolsets can reduce cost and improve output.
05 | COST VS PRODUCTIVITY
How development teams can reduce AI spend without sacrificing productivity — or spending more developer time than the saving is worth.
Two perspectives on AI cost and control: business impact and governance, alongside hands-on experience from AI-assisted software development.
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Leads Gloster Digital's business in the UK, Ireland and the Philippines, with two decades of experience delivering enterprise-grade IT products and platforms to clients across EMEA and APAC.
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Leads Gloster Digital’s international sales and marketing across the UK and DACH, bringing a business perspective on AI costs, governance and adoption at scale.
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10+ years of software architecture experience on critical enterprise systems András brings the technology perspective, focusing on efficient AI-assisted development, cost and developer productivity.
Business and technology perspectives on AI cost, control and effective adoption.
Real-world experience with agentic AI tools and developer workflows.
Concrete examples, lessons learned and practical ideas you can apply across your own organisation and development teams.
For more than two decades, Gloster has been building, modernising and scaling enterprise software. Today, we combine that engineering experience with AI to help organisations move faster, while keeping security, scalability, maintainability and long-term business value in focus.
years of software engineering and enterprise IT experience
technology specialists across our international team
regions: Hungary, UK, Germany and the US
listed on the Budapest Stock Exchange
We combine deep software engineering expertise with leading cloud, security and AI technologies to build solutions designed for real-world enterprise use.
