on-demand

FinOps for AI Workflows: Controlling Cloud Costs for Businesses

  • Understand how scaling AI workflows affects cloud spending and financial predictability.
  • Uncover hidden costs across compute, models, data, storage, APIs, and workflow integration.
  • Apply FinOps principles to improve cost visibility, forecasting, accountability, and governance.
  • Create a practical plan to control AI workflow costs and prove return on investment.
AVAILABLE ON DEMAND
45 min

Register and Get Your Free AI Cloud Cost Assessment

The first 10 qualifying companies will receive a complimentary 30-minute AI Workflow and Cloud Cost Assessment with tkxel’s leading AI and cloud specialists.

Bring one planned or existing AI workflow, and our specialists will help you identify:

  • Major cloud and AI cost drivers
  • Potential areas of unnecessary spending
  • Cost visibility and forecasting gaps
  • Practical opportunities to improve cost efficiency

Only 10 review sessions are available.

Scale AI Workflows Without Letting Cloud Costs Disrupt Growth

AI workflow automation can improve efficiency and help businesses scale. But as workflows move into production, costs across model inference, cloud infrastructure, data processing, storage, APIs, and integrations can quickly become difficult to predict.

Without workflow-level visibility, teams may struggle to understand what is driving spending, where waste is occurring, and whether automation is delivering measurable returns.

Organizations report that approximately 28% of cloud spending is wasted. As AI usage grows, unnecessary model calls, inefficient infrastructure, and fragmented cost ownership can make the problem more difficult to control (McKinsey).

This webinar introduces a practical FinOps framework to help leaders improve visibility, control AI-related cloud spending, and connect workflow costs with business value. Learn more about tkxel’s FinOps and cloud cost optimization services.

What You’ll Learn

In this session, you’ll learn how to improve the financial performance of AI workflow automation through:

  • Understanding where costs appear across cloud infrastructure, model inference, data processing, storage, APIs, and workflow orchestration
  • Identifying why AI spending becomes difficult to predict as workflows scale
  • Connecting finance, engineering, operations, and business teams through FinOps
  • Finding waste, establishing budgets, and improving cost visibility
  • Measuring workflow costs against operational and financial outcomes
  • Building a practical approach to AI cost governance and accountability

There will also be a live Q&A session where you can bring your cloud cost, AI infrastructure, FinOps, workflow automation, forecasting, and ROI questions to our experts.

Who should attend?

CFOs CIOs VPs of Operations Operating Partners CEOs COOs

Speakers

adeel rashad speaker

Adeel Arshad

Head of DevOps

Adeel Arshad is Head of DevOps and Cloud Solutions at tkxel, where he builds and scales reliable cloud infrastructure and automation practices. He has grown the DevOps function significantly, leading a team of engineers and advancing infrastructure automation across the organization.

benjmin speaker pics

Benjamin Linares

Director FinOps & AI Advisory

Cloud infrastructure and operations leader with 25+ years of experience across AWS, Azure, and multi-cloud platforms, focused on cost governance, AI/agentic workload economics, and building scalable FinOps programs from the ground up.

Frequently Asked Questions (FAQs)

Who should attend this webinar?
This session is designed for business, finance, technology, and operations leaders responsible for scaling AI initiatives, managing cloud spending, improving operational efficiency, or demonstrating returns from automation.
Do I need a FinOps or cloud engineering background to attend?
No. The session is designed for leaders who need to understand AI and cloud costs in terms of budgets, scalability, operational efficiency, and business value. It will focus on practical decisions rather than deep technical implementation.
What will I learn from this webinar?
You will learn what drives AI workflow costs, why spending becomes unpredictable as usage grows, and how FinOps can improve visibility, forecasting, accountability, governance, and cost control.
Will this webinar cover inference and infrastructure costs?
Yes. The session will cover common cost areas such as model inference, compute, data processing, storage, APIs, monitoring, and workflow orchestration.
How will this help us demonstrate AI ROI?
You will learn how to compare the cost of an AI workflow with outcomes such as time saved, increased throughput, reduced errors, improved efficiency, cost avoidance, and revenue impact.
What is the AI Cloud Cost Readiness Scorecard?
It is a short assessment designed to help businesses evaluate how effectively they manage AI-related cloud spending across cost visibility, workflow-level tracking, forecasting, optimization, accountability, and ROI measurement. Every webinar registrant will receive access to the scorecard.
What is included in the 30-minute AI Workflow and Cloud Cost Review?
The review is a private session with tkxel’s AI and cloud specialists focused on one planned or existing AI workflow. The session will help identify major cost drivers, potential areas of unnecessary spending, cost visibility and forecasting gaps, and practical optimization opportunities.
Who qualifies for the complimentary cost review?
The review is available to the first 10 qualifying companies that register. Qualification may depend on the relevance of the company’s AI use case, cloud environment, business needs, and readiness to discuss one planned or active AI workflow.
Is the cost review a full technical audit?
No. It is a high-level expert review intended to identify important cost considerations, potential inefficiencies, and practical next steps.
Will there be an opportunity to ask questions?
Yes. There will be a live Q&A session where you can bring your cloud cost, AI workflow, FinOps, forecasting, optimization, governance, and ROI questions.

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