Webinar

Flexera 2026 AI Innovation Roadmap

See how, at Flexera, we’re building a smarter foundation for confident, scalable AI adoption

Overview

AI adoption drives new spend and risk when inventory, governance and ownership are fragmented across on-premises, cloud, SaaS, data platforms and AI tools.

In this on-demand webinar, Becky Trevino, Chief Product Officer at Flexera, shares Flexera’s 2026 AI product vision and roadmap. She explains how Flexera is building an AI-ready data foundation, enabling natural-language questions through Data Explorer and delivering role-based assists for IT asset management and FinOps teams.

You’ll see how Flexera plans to help teams move from data to decisions faster, automate manual work like contract and invoice ingestion and prepare to manage AI usage and spend as adoption scales.

Key takeaways for IT asset managers, FinOps leaders, cloud cost owners, SaaS managers and AI governance teams

  • AI is expanding ITAM and FinOps beyond traditional inventory into broader spend, risk and compliance management
  • Fragmented ownership of AI spend creates duplication, governance gaps and increased risk across organizations
  • Trusted, unified data is critical to making AI-driven decisions actionable and scalable
  • Technology waste across SaaS, cloud and data platforms must be addressed to fund AI innovation
  • Automation and AI-driven insights enable faster, more informed decisions while reducing manual effort
  • Organizations must actively manage AI usage and spend within fixed budgets to maintain control and alignment

Speakers

Becky Trevino

Becky Trevino
Chief Product Officer, Flexera

Troy Baker, Flexera

Troy Baker
Vice President, North American Sales, Flexera

AI adoption, cost control and technology intelligence challenges and outcomes

1. Why AI adoption breaks cost control and accountability

AI spend grows rapidly while ownership and governance remain unclear across teams.

AI-driven spend is often absorbed into existing budgets without clear accountability. When neither ITAM nor FinOps owns AI usage, organizations introduce new governance layers, increasing fragmentation and reducing visibility across teams and systems.

Outcome: Clear ownership and unified governance reduce duplication, waste and financial risk.

2. Why AI-driven spend increases cost and operational risk

AI adoption accelerates spending across SaaS, cloud and data platforms within fixed budgets.

Organizations face growing pressure to control costs while supporting AI innovation. Without unified visibility and optimization across all technology categories, AI spend compounds existing inefficiencies and increases financial and compliance risk.

Outcome: End-to-end visibility enables organizations to control spend, demonstrate ROI and reduce risk.

3. Why optimizing existing technology is critical to funding AI

Technology waste across desktop, data center, SaaS and cloud limits the ability to invest in AI.

AI investment cannot be managed in isolation. Organizations must take a holistic approach, identifying inefficiencies across the entire technology estate and redirecting savings toward innovation initiatives.

Outcome: Reclaimed spend funds AI initiatives without increasing total budget.

4. Why AI-ready data and technology intelligence enable better decisions

High-quality, unified data is the foundation for automation, AI insights and decision-making.

Flexera’s strategy focuses on combining accurate inventory data with business context to transform technology data into actionable insights. This enables organizations to understand spend, risk and optimization opportunities in real time.

Outcome: Organizations move from static reporting to real-time, insight-driven decision-making.

5. Why automation and AI capabilities drive efficiency and scale

AI-powered tools reduce manual work and accelerate insight generation.

Capabilities such as natural-language querying, automated invoice and contract ingestion and role-based insights help teams reduce manual analysis and focus on higher-value decision-making.

Outcome: Faster insights, reduced operational effort and improved productivity.

Why AI-driven technology spend requires a new approach

Enterprises must manage rising SaaS, cloud and AI costs while demonstrating ROI and maintaining governance.

Fragmented visibility and duplicated spend increase financial and operational risk across the organization.

If your team needs to manage technology and AI spend at scale, Flexera One helps:

  • Gain unified visibility across cloud, SaaS, IT assets and AI usage
  • Identify cost optimization opportunities across the full technology estate
  • Turn data into actionable insights using AI-driven analysis

Contact us to see Flexera One in action.

Frequently asked questions

Flexera helps organizations gain visibility into AI usage and spending across cloud, SaaS, and data platforms. Its roadmap focuses on unified visibility and optimization so teams can understand AI costs, align spend to business value, and maintain financial control as AI adoption grows.

Yes. Flexera supports technology cost optimization across cloud, SaaS, data platforms, and AI-driven consumption. This holistic approach helps organizations manage total technology spend and reduce fragmentation as AI workloads expand beyond infrastructure alone.

Flexera uses AI to improve productivity and decision-making for ITAM and FinOps teams. Capabilities such as ITAM Assist and FinOps Assist help summarize complex data, surface optimization opportunities, and support faster, more informed actions without replacing human judgment.

Flexera prioritizes customer trust, data security, and privacy. The company minimizes reliance on proprietary customer data for AI training and applies strict security controls to ensure confidentiality, regulatory compliance, and responsible use of AI across its platform.

Acquisitions such as ProsperOps and Chaos Genius strengthen Flexera’s FinOps capabilities through automated savings and cloud rate optimization. These capabilities support Flexera’s broader strategy to help organizations optimize spend and manage AI-driven costs more proactively.

ITAM and FinOps teams should expand beyond traditional asset and cloud tracking to include AI usage, SaaS consumption, and data platform costs. Improving data quality, increasing automation, and aligning with business priorities are critical for managing AI effectively.

Transcript

[0:11] Introduction: Flexera’s 2026 roadmap and AI strategy

[0:11] Troy Baker:

Welcome to the Flexera 2026 roadmap webinar. This session introduces Flexera’s strategy for helping organizations manage technology spend, risk, and optimization in an increasingly AI-driven landscape. Today’s session outlines Flexera’s product vision, recent investments, and what customers can expect from the platform in 2026.

[2:22] What Flexera does and why it matters to technology leaders

[2:22] Becky Trevino:

This session is designed for organizations evaluating how to manage technology investments more effectively. Flexera helps customers control costs, improve visibility, and align IT decision-making with business outcomes across IT asset management and FinOps.

Flexera’s mission is to maximize the value of technology investments, not just reduce cost, by combining visibility, governance, and optimization.

[4:34] How AI is reshaping ITAM and FinOps

[4:34] Becky Trevino:

AI is fundamentally changing expectations for ITAM and FinOps teams.

Traditional capabilities like discovery and inventory remain essential, but they are no longer sufficient. Organizations now require:

  • Unified data foundations
  • Proactive insights
  • Automation and AI-driven recommendations
  • Visibility into AI spend

As AI adoption grows, managing cost, risk, and value becomes more complex and business-critical.

[7:48] Why organizations are investing in technology optimization

[7:48] Becky Trevino:

Organizations are investing in Flexera to:

  • Control rising SaaS and AI spend
  • Eliminate duplication across technology environments
  • Improve cross-functional alignment
  • Demonstrate ROI and efficiency

In regulated industries, compliance and risk management are key drivers. Across all industries, there is growing pressure to show measurable value from technology investments.

[9:47] Strategic investments: ProsperOps and Chaos Genius

[9:47] Becky Trevino:

Flexera has expanded its capabilities through acquisitions such as:

  • ProsperOps, focused on AWS rate optimization
  • Chaos Genius, focused on data platform cost optimization

These additions strengthen Flexera’s ability to optimize spend across cloud, SaaS, and data platforms, which are increasingly central to AI-driven workloads.

[17:08] Flexera’s product vision for technology intelligence

[17:08] Becky Trevino:

Flexera’s goal is to help organizations answer every question about technology spend and risk.

This includes understanding:

  • Spend and cost drivers
  • Compliance and licensing exposure
  • Redundancy and inefficiency
  • Total cost of ownership
  • AI adoption trends

The focus is on turning data into actionable business decisions.

[18:04] Why AI spend management is now a critical priority

[18:04] Becky Trevino:

Technology spend is typically the second-largest expense after people, and AI is accelerating that growth.

AI introduces new cost categories across:

  • SaaS applications
  • Data platforms
  • Cloud infrastructure

Organizations must manage this spend within fixed budgets while maintaining governance and accountability. If AI spend is not clearly owned, new teams may emerge, increasing fragmentation and complexity.

[22:53] The challenge of optimizing across the full IT estate

[22:53] Becky Trevino:

Organizations continue to experience inefficiency across:

  • Desktop environments
  • Data centers
  • Cloud infrastructure
  • SaaS applications

Optimization now requires a holistic approach across all technology categories, because cost savings in one area often fund innovation in another.

[24:16] Aligning IT strategy with business priorities

[24:16] Becky Trevino:

AI transformation is a top executive priority. ITAM and FinOps teams must align their roadmaps accordingly.

Organizations that link their work to business outcomes—such as cost savings, efficiency, and innovation—are more likely to secure funding and remain strategically relevant.

[25:13] Turning technology data into business decisions

[25:13] Becky Trevino:

Flexera enables organizations to move from raw data to business decisions by combining:

  • Asset data
  • Usage and cost data
  • Business context

This helps teams make informed decisions that drive measurable value and optimization.

[26:38] The Flexera One platform foundation

[26:38] Becky Trevino:

Flexera One is built on a foundation of accurate, high-quality data.

This foundation supports:

  • AI-driven insights
  • Automation
  • Unified reporting across ITAM and FinOps

Over time, this evolves into a technology intelligence platform capable of powering advanced analytics and AI-based decision-making.

[28:17] Flexera’s 2026 product roadmap

[28:17] Becky Trevino:

2025 highlights

  • Expanded SaaS management and ITAM capabilities
  • Improved APIs and cloud cost optimization

2026 priorities

  • AI-ready data foundation
  • Improved user experience and role-based workflows
  • Increased automation and AI-driven recommendations

The focus is on making insights easier to access and act on across different teams.

[34:07] Flexera’s AI strategy

[34:07] Becky Trevino:

Flexera’s AI strategy focuses on three areas:

  • Building a strong, unified data foundation
  • Increasing productivity through automation
  • Managing AI usage and spend effectively

These pillars enable organizations to scale AI adoption while maintaining control over cost and risk.

[35:38] Key capabilities delivering value in 2026

[35:38] Becky Trevino:

Flexera is introducing capabilities such as:

  • AI-ready data foundation
  • Data Explorer for natural-language queries
  • ITAM Assist and FinOps Assist
  • AI-driven automation

These capabilities help users interact with data more efficiently and take action faster.

[37:33] How natural-language insights improve decision-making

[37:33] Becky Trevino:

With tools like Data Explorer, users can ask questions in natural language and receive immediate insights, reducing reliance on manual reporting and complex queries.

[38:17] AI-driven efficiency through automation

[38:17] Becky Trevino:

AI-powered contract and invoice ingestion significantly reduces manual processing effort while improving accuracy and efficiency.

[39:23] ITAM Assist and FinOps Assist

[39:23] Becky Trevino:

ITAM Assist and FinOps Assist provide:

  • Insights
  • Recommendations
  • Summaries

These tools help teams take action faster and improve decision quality across ITAM and FinOps workflows.

[40:35] Managing AI adoption and spend at scale

[40:35] Becky Trevino:

Flexera helps organizations track and control AI usage across the enterprise, providing visibility into how AI is being consumed and where cost and optimization opportunities exist.

[41:00] What differentiates Flexera

[41:00] Becky Trevino:

Flexera differentiates itself through:

  • High-quality, trusted data
  • A unified platform across ITAM and FinOps
  • Actionable insights rather than raw reporting

This combination enables organizations to manage technology more effectively and at scale.

[43:27] What this means for organizations

[43:27] Becky Trevino:

To succeed in 2026, organizations should:

  • Align IT strategies with business goals
  • Improve data quality and visibility
  • Increase automation
  • Focus on measurable outcomes

These steps enable organizations to manage complexity while continuing to innovate.

[1:01:04] Closing remarks

[1:01:04] Troy Baker:

Thank you for joining the session. Please reach out with any further questions.

[1:01:32] Becky Trevino:

Thank you, and we look forward to supporting your journey toward better technology value and optimization.

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