Join us for this introductory webinar to explore what TBM is, why it matters, and how it enables organizations to align IT investments with business goals. Whether you’re in IT, finance, or business leadership, this session will help you understand the fundamentals of TBM and how it drives smarter decision-making, cost transparency, and strategic alignment.
AI is redefining how service teams operate, cutting resolution times by up to 50%, automating 70% of routine requests, and freeing talent for higher-value work.
But success doesn’t begin with a grand AI strategy. It begins by solving real service challenges: faster triage, continuous coverage, unified knowledge, and actionable insights.
This practical guide shows how to use Atlassian Jira Service Management and Rovo to:
Written for ITSM and service management leaders, this ebook translates AI potential into measurable outcomes you can activate today.
Ready to see what AI can do for your service organization?
Fill out the form to get your copy of AI That Works and start building a smarter, more resilient service operation.
Miami, Florida | November 10–12, 2025
The 2025 TBM Conference brought together leaders who are reshaping how enterprises manage technology, optimize investment decisions, and accelerate value. Over three days, we engaged in deep conversations about connecting strategy, spend, and execution into a single system that drives measurable business outcomes.
Our team hosted sessions across TBM, cost optimization, AI-driven decisioning, and modern operating models. We explored how CIOs, CFOs, and transformation leaders are aligning financial governance, portfolio management, and architecture to move beyond incremental improvements and build connected, high-velocity enterprises.
The evolution of TBM inside a modern operating model — Sessions focused on how TBM now anchors the economic intelligence layer of the Enterprise Operating Model, enabling real-time visibility, smarter trade-offs, and funding that adapts as priorities shift.
AI’s role in accelerating financial and operational performance — Leaders discussed how AI enhances forecasting, strengthens investment decisions, and reduces the lag between planning and execution. The message was clear: AI-powered financial operations set the pace for enterprise agility.
Closing the orchestration gaps that stall transformation — Breakout discussions highlighted the friction points that slow value flow—siloed portfolios, outdated funding cycles, architectural constraints—and how connected TBM practices help enterprises scale impact faster.
Real stories from enterprise practitioners — Our sessions covered practical examples of how organizations modernized financial governance, improved cross-functional alignment, and strengthened ROI visibility while advancing their operating model maturity.
Discover how Cprime is shaping the future of enterprise operating models at TBMC 2025 with clients CNO Financial.
Explore related resources from TBMC 2025, including expert commentary, session highlights, and analysis on the future of TBM and operating models.
Session recaps:
Learn how leading enterprises link strategy to execution through modern operating models, from product-led design to enterprise finance. Using TBM, organizations move beyond structure to systematically measure, govern, and optimize value flow in real time.
Speaker: Konstantin Popov
Session recaps:
Discover a systematic approach to value creation that aligns customer success with enterprise performance across every business function.
Speakers: Konstantin Popov and Luke Hohmann
Session recaps:
Explore how leading financial institutions reimagine governance and risk management within modern enterprise operating models.
Speakers: Konstantin Popov and Dickerson Miles
Session recaps:
Learn how leading enterprises build AI-enabled operating models that eliminate complexity through intelligent automation and deploy AI systematically.
Speakers: Konstantin Popov and Aaron Bockelie
Session recaps:
Experience our approach to integrating Enterprise Architecture Management into the Strategic Portfolio Management (SPM) and IT Financial Management (ITFM) lifecycle.
Speaker: Mahesh Keswani
Session recaps:
The story of how CNO built a connected operating model using Apptio Targetprocess and existing tools like Jira, starting with just 30 licenses and no mandate.
Speakers: Laura O’Brien (CNO), Lindy Quick (CNO), and Oona Ziegler
Session recaps:
See how Southwest Airlines uses Apptio ADM, Datalink, and Targetprocess—integrated with LeanIX—to connect IT, business capabilities, applications, and demand.
Speakers: Mohammad Attiah and Murat Oran
Session recaps:
Learn how Apptio Targetprocess can automate calculation of labor capitalization based on work item categorization and capacity allocation.
Speaker: Maxim Danilevsky
Cprime Conversations Podcast
Learn why well-intentioned transformation initiatives keep falling short, and discover the proven framework that leading companies are using to navigate disruption, optimize costs, and unlock sustainable growth.
If you’re assessing how TBM, financial governance, and operating model modernization can accelerate impact across your enterprise, schedule a working session with our experts.
We’ll explore where value flow slows down inside your organization and identify the highest-leverage opportunities to improve outcomes.
Maximizing Value with Technology Business Management: A Strategic Guide
Financial Intelligence in Motion: Where TBM Meets FinOps in AI-Native Enterprises
Future-Proofing the Enterprise Operating Model through Enterprise Architecture Management (EAM)
Discover how AI‑augmented Lean Portfolio Management transforms strategy into measurable results across your enterprise. Enterprises today face a new portfolio imperative—speed, precision, and adaptability at scale. Traditional portfolio management struggles to keep pace. This white paper explores how AI‑augmented LPM reshapes the portfolio into a living system that senses change, predicts outcomes, and orchestrates work in real time.
Inside, You’ll Learn How To:
• Identify misaligned investments and reallocate funding with confidence
• Shift from static annual planning to real-time orchestration
• Build the foundations for an AI‑first operating model using a five‑stage maturity framework
• Amplify human leadership by pairing foresight with intelligent execution
When we partnered with a leading superannuation organization, they had begun identifying AI opportunities but needed a strategic path forward. Early discovery and PoC initiatives were underway with strong internal enthusiasm, but scaling beyond isolated success required structure. Leadership set a bold ambition to lead with AI, and needed a structured approach to get there. The strategy centered on increasing AI literacy and empowering teams to identify high-value opportunities, while managing concerns around role changes and alignment through thoughtful change facilitation.
Initial AI use cases had delivered measurable value, amplifying skills and saving time. However, without a clear roadmap, adoption risked becoming fragmented and inefficient. The General Manager of Technology recognized this and urged leadership to create a scalable, hands-on onboarding model that would enable broader learning and enterprise-wide participation. Strong thought leadership was already present, but momentum could stall without a cohesive, cross-functional strategy to harness it.
We partnered with the client to orchestrate a scalable adoption model through a structured approach designed for adaptive execution:
We delivered an AI adoption roadmap with a phased rollout strategy and embedded support systems:
Our orchestrated approach drove measurable, enterprise-wide outcomes:
This engagement shows how an intelligent adoption strategy unlocks enterprise-scale AI impact. By balancing bold vision with practical execution, the organization accelerated AI maturity, built trust, and laid the groundwork for what’s next.
Looking to scale AI with precision and purpose? Let’s orchestrate what’s next.
Speakers:
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Konstantin Popov VP, Enterprise Tech, Strategic Portfolio, & Financial Management Cprime |
In partnership with:
In a Volatile, Uncertain, Complex, and Ambiguous (VUCA) world, Business Agility—the ability to sense and respond to change faster than the rate of change itself – is the key to winning. In an AI powered world of change, sustained success requires more than planning—it demands continuous learning. Enterprises need intelligent systems that connect strategy to execution, enable rapid feedback, and align teams around the flow of value.
Enterprises must not only rapidly test whether their strategies are working, but also whether their current structures and value streams are aligned with the evolving needs of their customers. That means learning at every level: adjusting direction, adapting workflows, and reforming how value is delivered—based on insight, not instinct. Accelerated with AI Agents working 24/7, this is the AI Native Enterprise.
You’ll discover how to:
Whether you’re starting or scaling, this session will offer actionable insights and real-world stories to help you evolve your operating model and accelerate value delivery.
Key Takeaways:
Panelists:
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Ken France VP, Enterprise Agility Cprime |
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Steve Adolph Strategic Advisor Scaled Agile |
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Fred Champlain Agile Evangelist ServiceNow |
AI-native enterprises are scaling faster, adapting smarter, and outperforming the competition.
This white paper reveals how to move beyond digital optimization and architect a business that learns, adapts, and orchestrates in real time.
“AI-native enterprises orchestrate work across systems and teams. They operate in real time, responding to signals as they emerge. They scale intelligence across the operating model—embedding AI into every function, not just isolated touchpoints.”
Authored by members of the AI Center of Excellence Executive Council, this paper reflects the vision and experience of the leaders driving Cprime’s most ambitious enterprise AI transformations.
Download the executive white paper!
Fill out the form to receive your copy and take the first step toward operating with intelligence.
Campaigns, segments, and static cycles no longer deliver the speed or relevance customers expect. Customer engagement now demands continuous orchestration, powered by AI agents that act, learn, and optimize on their own.
This white paper maps the path forward for executives who are ready to scale personalization, speed up decision-making, and unlock value across every customer touchpoint.
“AI agents are already researching, scripting, designing, deploying, and refining, with minimal human input.”
Inside, you’ll learn how to:
“This shift goes far beyond tools. It’s about rethinking how you create, connect, and deliver.”
AI-first transformation starts at the edge, where your customers are.
Let this be your blueprint for intelligent, always-on engagement.
In an era where technology is the cornerstone of business innovation, the financial services industry is undergoing a transformative shift. The market is going to look significantly different in three years, and the survival of key players in the industry hangs in the balance.
Three catalysts for this change are Artificial Intelligence (AI), machine learning, and generative AI. This article aims to provide an in-depth look into how these technologies are not just buzzwords but essential tools for financial institutions.
Download this white paper now to explore their applications, the advantages they offer, the challenges that come with them, and a roadmap for organizations looking to integrate AI into their operations.
When the dust settles, where will YOUR organization be?
