88% of enterprises use AI. Only 6% have anything to show for it on the P&L.
That gap isn’t a technology problem. It’s an operating model problem.
The Question Every Executive Is Asking
You’ve deployed the tools. Your teams are experimenting. So why isn’t it showing up in the numbers?
Because AI doesn’t create value by existing inside your organization. It creates value when you redesign how work truly flows: who owns outcomes, where AI acts, which decisions stay human, and how you govern all of it at the speed the business moves.
Most companies never get there. They bolt AI onto workflows built for a different era and wonder why performance doesn’t budge.
The Insights Inside this White Paper
Cprime’s latest white paper, AI-First Transformation and Operating Model Design, lays out exactly what separates the 6% from everyone else, and gives you a practical path to join them.
You’ll get:
The real data behind the adoption-impact gap, drawn from McKinsey’s global AI survey and MIT’s Project NANDA research
The six dimensions that determine whether your AI transformation succeeds or stalls
A proven starting point, the Minimum Viable Operating Model, for capturing value on one or two critical workflows before scaling
The blueprint for scale and how to turn early wins into a Target Operating Model built for the whole enterprise
This isn’t theory. It’s a working model, backed by evidence, built for leaders who need results this year.
Stop Waiting for AI to Pay Off on Its Own
The organizations pulling ahead are the ones who changed how work gets done. Get the white paper and see exactly how they’re doing it.
Most enterprises can’t answer a simple question: where does AI pay off?
This report breaks down the four dimensions that separate AI programs that stall from the ones that scale, backed by real numbers from healthcare systems, retailers, universities, and manufacturers who’ve already done the work.
Every enterprise leader is being asked the same thing right now: what’s the AI business case?
Most can point to a pilot. Few can point to a pattern.
Use cases get scored on a whiteboard but never make it to a roadmap.
Tokens get burned, but nobody can trace the ROI.
Executive teams want outcomes, but the data stays anecdotal.
The result is AI activity without AI value.
Twelve workshops. Six industries. One pattern that changes everything.
INRY ran structured AI strategy sessions with organizations managing everything from 300,000-associate retail HR operations to healthcare research institutions to university IT teams fielding 18,000 incidents a month. Different industries, different workflows, same executive question every time: where does this actually pay off?
The answer showed up in the data four times over.
What you will learn:
Why the strongest AI business cases are built around workflow transformation, not feature activation
How ticket and case deflection became the cleanest, most defensible ROI metric across every workshop
Why capacity creation, not headcount reduction, is what actually earns organizational buy-in
Which workflow speed metrics separate real transformation from isolated task automation
The four dimensions — Experience, Speed, Consistency & Trust, and Capacity — that defined success in every single engagement
Real numbers from inside the workshops
60%+ of Level 1 tickets in one IT organization were resolvable by SOP alone, yet still required a human to look them up and execute manually
25 to 35% of 14,000 to 18,000 monthly incidents at a higher education client were resolvable through instruction, blocked only by outdated knowledge articles
19,000 cases a year were triaged manually by a single person in one HR environment, with no auto-routing, no SLAs, and no AI governance layer
Built on field-tested methodology, not theory
INRY, a Cprime company, brought the workshop methodology, the ServiceNow platform expertise, and a rigorous discovery process to twelve engagements across healthcare, retail, manufacturing, higher education, engineering, and professional services. What came out of those rooms is a pattern pulled directly from hundreds of executive hours and thousands of scored use cases, not a framework built in the abstract.
If you are trying to figure out where AI investment turns into real business outcomes, this is the closest thing to a shortcut you will find.
See where AI investment becomes business outcomes.
Twelve workshops. Six industries. One pattern that changes how you build the AI business case. Download the ebook and see where AI actually pays off.
Six months after migrating to Atlassian Cloud, most organizations ask the same question:
“Are we working better?”
Too often, the answer is unclear.
Tools moved, but behaviors did not.
AI features are enabled, but adoption is limited.
ROI is expected, but difficult to measure.
The result is cloud investment without sustained value.
Turn Atlassian Cloud into a system for measurable business outcomes
What you will learn
How high-performing organizations translate cloud migration into measurable ROI
Why most teams capture only a fraction of Atlassian Cloud value
What limits adoption, alignment, and AI readiness
The operating model behind high-performing teams
How to measure and improve your Atlassian investment over time
Built by the partner behind more than 1,000 successful Atlassian migrations
Cprime is a trusted Atlassian Platinum Solution Partner with a proven approach to supporting cloud transformation from migration through ongoing optimization:
More than 1,000 successful migrations
100% migration success rate
99.9% customer retention
8-time Atlassian Partner of the Year
Cprime helps organizations move beyond migration by improving how work gets done, how decisions are made, and how value is measured over time.
Ready to increase the value of your Atlassian Cloud investment?
Administrative teams spend dozens of hours per physician managing credentials, access, training, and handoffs, often with little insight into where onboarding stalls or why start dates slip. As hiring volumes increase, those inefficiencies scale fast, driving up administrative costs, overwhelming HR and recruitment teams, and delaying physicians from practicing at full capacity.
This practical guide is written for healthcare HR and physician recruitment leaders who need onboarding to move faster, scale reliably, and deliver a better experience without adding headcount.
Inside the guide, you’ll learn how to:
Identify where physician onboarding stalls due to manual work and fragmented ownership
Gain end-to-end visibility into onboarding pipelines and bottlenecks
Standardize onboarding across departments and locations without slowing execution
Reduce administrative effort per physician hire and reclaim HR capacity
Scale physician onboarding without proportional staff increases
If onboarding delays, rising costs, or lack of visibility are limiting your ability to hire and onboard physicians efficiently, this guide provides a clear path forward.
Download the physician onboarding guide now and see how healthcare organizations are redesigning onboarding to accelerate readiness and reduce operational strain.
See how the Total Experience Framework (TEF) rewires ServiceNow for adoption, speed, and measurable impact. This compact guide reveals how intelligent orchestration across every touchpoint transforms digital work into effortless flow.
How ServiceNow SPM powers enterprise agility and strategy execution
Disruption is now the norm. The enterprises thriving in this environment aren’t reacting faster—they’re orchestrating smarter. Strategic Portfolio Management (SPM) has become the new operating system for aligning strategy, funding, and execution in real time.
This exclusive ebook reveals how leading organizations use ServiceNow SPM—guided by INRY, a Cprime Company—to turn strategic intent into measurable outcomes.
You’ll learn how to:
Reconnect siloed investments to enterprise priorities for visible, measurable value.
Build adaptive systems that evolve with shifting business demands.
Integrate financial planning, resource management, and agile delivery in one flow.
Apply proven practices from healthcare, government, and retail to accelerate ROI.
Use post-implementation adoption strategies that sustain transformation.
Download the ebook to see how modern enterprises are using ServiceNow SPM to transform disruption into a competitive advantage.
Turn everyday service management into an engine of intelligent flow.
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:
Automate repetitive requests and reduce backlog
Extend coverage without expanding headcount
Surface answers instantly across systems
Predict and prevent recurring issues
Deliver insights leaders can act on without analyst support
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.
Uncover how a connected operating model—powered by TBM—turns transformation into measurable momentum.
You’ve invested in agile, cloud, and customer experience. But without a connected operating model, even the smartest initiatives stall. Strategy gets stuck. Funding moves slower than the market. Results fall short of expectations.
This executive ebook introduces a new way forward: an enterprise operating model designed to accelerate value flow by linking planning, funding, execution, and measurement in one adaptive system. And at the heart of that system? Technology Business Management (TBM), the value governance engine that makes strategy measurable, spending accountable, and performance visible in real time.
Most enterprises are filled with strong capabilities that simply aren’t working together. The result: stalled momentum, slow adaptation, and wasted investment.
What you’ll discover inside:
Why transformation efforts stall, and what actually unlocks enterprise ROI
How TBM powers smarter decisions, faster funding, and measurable results
The three-layer operating model that aligns your teams, systems, and investments
Examples of how leading enterprises orchestrate execution at scale
If you’re looking to move faster, lead smarter, and drive growth with confidence, this model is built for you.
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
