Resource Topic: Platform Adoption & Governance

From Configuration Chaos to Strategic Clarity: Restoring Value in Your Targetprocess Environment

Targetprocess environment evolving from configuration chaos to strategic portfolio clarity

Does your Targetprocess environment feel harder to navigate every year? It rarely happens all at once. A new field for an urgent report. A custom workflow for one team. A special view for one leader. Each change made sense at the time, but together they can turn a carefully designed platform into a maze that only a few people know how to get through.

There’s a better way forward, and it doesn’t mean starting over.

In this session, Cprime Solutions Advisor Carollyn Gehrke draws on nearly 30 years of TBM, portfolio, and product management experience to show how to move from supporting a tool to managing a strategic capability. You’ll learn why platform complexity, low adoption, and key-person dependency reinforce one another, and why fixing only one lets the other two recreate the same problems. Carolyn walks through a practical framework to stabilize, standardize, enable, align, and sustain your environment, along with a now, next, and later roadmap for putting it into action. The session closes with a live Q&A covering sources of truth across integrated tools, keeping governance practical, and what separates real strategic portfolio management from project tracking with extra steps.

The key insight: Targetprocess is often where problems become visible, but it’s rarely where they began. Unclear ownership, inconsistent processes, and undocumented decisions show up as a “broken” tool. When configuration is driven by the decisions the business needs to make, rather than by one-off requests, the platform becomes a trusted map of where the organization is, where it wants to go, and how to get there.

Key Takeaways

  • Diagnose the three connected challenges draining your platform’s value: configuration complexity, adoption friction, and key-person dependency.
  • Apply a five-part framework to stabilize, standardize, enable, align, and sustain your Targetprocess environment.
  • Turn individual expertise into organizational capability by documenting the intent behind configuration, not just the settings.
  • Manage Targetprocess as a product, starting with the business decisions it needs to support rather than what the tool can do.
  • Build a phased roadmap, from a 30-day risk inventory to an operating model and ongoing platform health metrics.
  • Make the case for stabilization by exposing the hidden costs of complexity, from untrusted reporting to workarounds and system drift.

Watch the video

Leading Healthcare System Transforms HR for 23,000 Employees with ServiceNow

Case_Study_SCL Health Elevates the Provider Onboarding Experience

The Challenge

As one of the largest integrated healthcare systems in its region, the organization supports more than 23,000 employees and nearly 1,900 providers. Like many growing healthcare organizations, its HR teams struggled to deliver consistent service experiences across multiple locations and departments:

  • Manual processes and disconnected workflows created inefficiencies for employees and HR staff alike.
  • Limited self-service meant employees relied on direct outreach for routine support.
  • HR teams spent valuable time on administrative requests instead of strategic workforce initiatives.

The Opportunity

Leadership recognized the need for a modern HR service delivery model, one that could improve employee experiences, increase operational efficiency, and provide greater visibility into service performance. To pursue that vision, the organization selected INRY, a Cprime company, for its:

  • Healthcare industry expertise
  • Proven ServiceNow delivery experience
  • Ability to guide organizations through both strategy and implementation

The Solution

INRY delivered an advisory-led transformation, beginning with a consulting phase to align stakeholders, assess existing HR processes, and define a future-state vision. Through discovery workshops, process assessments, and tailored ServiceNow demonstrations, leadership saw how the platform could support employee experience, workflow automation, governance, and continuous improvement. This phase also introduced a Center of Excellence governance framework establishing process ownership, decision-making structures, and long-term platform management.

INRY then implemented ServiceNow HR Service Delivery, including:

  • Employee Center Pro and HR Agent Workspace
  • Case management workflows with intelligent routing
  • Knowledge management and self-service capabilities
  • Executive dashboards
  • Oracle integration

The program covered solution design, workflow configuration, integrations, change management, and user adoption support, backed by a structured 90-day hypercare period. Close collaboration between HR leadership, executive sponsors, departmental stakeholders, and delivery teams kept the initiative aligned and organizationally ready throughout.

The Results

The results demonstrate the impact of a modern, workflow-driven HR service delivery model:

  • 14 HR request forms available through Employee Center
  • 6,451 HR cases managed during August
  • 2,713 HR cases processed in the first half of September
  • 100+ HR knowledge articles published in a centralized repository
  • 6,974 knowledge article views since go-live
  • Intelligent case routing across multiple HR service categories
  • Executive dashboards tracking 10+ key HR performance metrics

Beyond the metrics, the organization established a more consistent, scalable HR operating model: employees gained easier access to services through a unified portal, HR teams reduced manual effort through automation, and leadership gained the visibility needed for more informed decisions and continuous improvement.

Looking Ahead

The new ServiceNow HRSD foundation positions the organization to keep expanding automation, self-service, analytics, and workforce experience capabilities. The governance model established during the advisory phase provides a framework for ongoing innovation, ensuring future enhancements stay aligned with business priorities and employee needs. By combining strategic advisory services with a scalable platform, the organization transformed HR from a primarily transactional function into a strategic capability supporting workforce effectiveness, operational excellence, and long-term growth.

Ready to Modernize HR Service Delivery?

Organizations that modernize HR service delivery improve employee experiences, increase operational efficiency, and build a foundation for continuous improvement. If your HR organization faces fragmented processes, limited self-service, or inconsistent service experiences, a structured ServiceNow HRSD transformation can deliver measurable business value.

Connect with our team to learn how a governance-led HR transformation can build a scalable foundation for your future.

Modernize HR Service Delivery with ServiceNow

Transform HR service delivery with ServiceNow HRSD to improve employee experiences, streamline HR operations, and build a scalable foundation for continuous improvement.

Modernizing Public Safety Operations with ServiceNow WSD

Webinar_The-Five-Stages-of-Enterprise-Evolution-through-SPM_-Accelerating-Your-SPM-Progress-1

What had been a fragmented maze of spreadsheets, siloed emails, and manual approval chains became a single, intelligent platform built on ServiceNow Workplace Service Delivery (WSD), seamlessly managing everything from maintenance and leasing to contracts and workspace reservations. Powered by INRY’s proprietary SMART Success methodology, the engagement eliminated operational bottlenecks, established structured request workflows, automated approval routing, and delivered real-time visibility through executive-ready dashboards. The result: a 70% reduction in manual effort, dramatically strengthened compliance posture, and an audit-ready infrastructure built to scale.

The Hidden Cost of Manual Operations at Statewide Scale

As one of the nation’s most prominent public safety institutions, the agency manages a vast network of facilities across the state. At that scale, the way workplace services are requested, approved, and tracked has a direct impact on operational efficiency, cost control, and compliance.

The agency was running this complex operation on outdated, manual processes. Maintenance requests, lease tracking, and contract approvals were handled through spreadsheets and email, creating data silos and making it difficult to see the full picture of workplace activity. The challenges compounded across several areas:

  • Fragmented systems: Maintenance requests, lease tracking, and contract approvals lived in disconnected spreadsheets and inboxes, creating inefficiencies and data silos.
  • Lack of visibility: No centralized dashboard existed to track service requests, lease statuses, or contract compliance.
  • Delayed approvals: Manual routing of approvals slowed down maintenance work and contract execution.
  • Compliance risks: Enforcing lease terms and tracking contract thresholds was difficult, increasing the risk of overspending and audit issues.

Leadership recognized that a modern, automated approach was needed: one that could bring these processes onto a single platform, give the organization real-time visibility, and reduce the manual burden on facility teams.

One Win Became Many: How INRY Grew From ITSM Advisor to Enterprise Platform Partner

The agency and INRY were first introduced through ServiceNow to explore solutions for an employee workflows challenge. That relationship opened the door to IT Service Management modernization work, where INRY delivered services that exceeded expectations and earned the organization’s confidence.

Building on that success, the agency selected INRY to take on new platform initiatives. The decision was driven by the strength of INRY’s ServiceNow capability, a hybrid delivery model, a commitment to refine the agency’s implementation with leading practices, a compelling proposal and competitive pricing, and local presence.

“Your support for ITSM work was miles better than the last vendor, and your support on this project is even better than that. You’ve been amazing.”

— Agency stakeholder

Building an automated workplace platform on ServiceNow

INRY implemented ServiceNow Workplace Service Delivery using its SMART Success methodology, tailored to the agency’s unique facilities, leasing, and contract needs. The solution brought workplace operations onto a single platform and automated the workflows that had previously required manual effort.

Key capabilities delivered

  • Employee Center Pro: A self-service portal that lets facility analysts initiate maintenance, lease, and workspace requests through structured forms.
  • Workspace Central Case Management: Centralized tracking of all workplace service cases, including maintenance, lease, and contract workflows.
  • Streamlined space reservations: Dedicated request forms gave users a structured, efficient way to reserve workspaces and related facilities, significantly reducing the manual tracking of reservations.
  • Automated workflows: Emergency maintenance prioritization driven by prefilled questionnaires, multi-level approval routing for contracts exceeding $9,999, and task sequencing across maintenance completion, invoice receipt, and stamping.
  • Lease & contract management: Lease initiation and approval through Workplace Central, contract model selection with dynamic routing to the right approvers, and dashboards for active contracts and payment schedules.
  • E-signature & PDF generation: Support for digital signatures and auto-generated PDFs, improving compliance and audit readiness.
  • Unified dashboard: A single dynamic dashboard that keeps track of all WSD-related forms, giving the agency one place to monitor workplace activity in real time.

The engagement followed a structured delivery path. Collaborative design workshops mapped the agency’s current processes and defined future-state workflows. Iterative configuration and user acceptance testing were carried out hand-in-hand with power users to validate each build. After technical go-live in July 2025 and business go-live in September 2025, INRY provided a 90-day CloudCover support period to drive adoption and resolve issues as the new model took hold.

“Very professional and accommodating, working with us to make sure everything was done correctly.”

— Agency stakeholder

Delivering measurable efficiency, visibility, and compliance

The impact was felt across day-to-day operations, with the most significant gain in the sheer reduction of manual work.

Efficiency and productivity

  • Manual work reduced by 70% after implementation, with the platform absorbing the tracking and routing that teams previously handled by hand.
  • Automated routing and task management reduced delays in both maintenance and contract approvals, improving turnaround time.
  • Optimized workspace planning and utilization through structured request forms and centralized reservation management.

Visibility and compliance

  • A single dynamic dashboard delivered real-time insight into active leases, pending approvals, and maintenance statuses.
  • Lease and contract workflows enforced spending thresholds and approval hierarchies, strengthening compliance and reducing the risk of overspending.
  • Digital signatures and auto-generated PDFs improved audit readiness across leasing and contract processes.

Cultural and collaborative gains

  • Stronger collaboration between facility analysts and approvers through shared, transparent workflows.
  • Increased confidence in compliance and audit readiness across the organization.
  • A positive cultural shift toward digital-first processes.

From manual spreadsheets to connected workplace operations

Before: The agency relied on manual spreadsheets and email-based approvals, with a high risk of delays and compliance breaches and little visibility into the status of any given request.

After: Workplace services run on a centralized, automated platform with structured request forms, real-time dashboards, and digital signatures, cutting manual effort by 70% and giving leadership the visibility to manage facilities by evidence rather than guesswork.

The relationship continues to grow. Following the ITSM modernization and the WSD implementation, the agency selected INRY to deliver Software Asset Management (SAM) as well, work that is currently underway, extending the value of ServiceNow further across the organization.

Ready to modernize your workplace operations?

Organizations that move workplace services onto a single, automated platform reduce manual effort, strengthen compliance, and gain the visibility to manage facilities proactively.

If your teams are managing maintenance, leasing, contracts, or workspace reservations through spreadsheets and email, a structured ServiceNow Workplace Service Delivery implementation can deliver measurable results. Connect with INRY to learn how WSD can transform your workplace operations into a connected, efficient capability.

Modernize Workplace Operations with ServiceNow WSD

Transform workplace operations with ServiceNow WSD. Improve visibility, streamline workflows, and create more connected experiences across your organization.

Modern HR Transformation with Human-First AI and ServiceNow HRSD

Case_Study_Helping Nebraska Methodist Health System Become a Dominant Regional Provider through HR Services Innovation

When a legacy HR platform limits self-service and insight

Inry’s health system client delivers people services to a large clinical and support workforce across a multi-state footprint. At that scale, a consistent employee experience depends on HR services that are responsive, accessible, and measurable.

Those services previously ran on a legacy platform with no AI capability in addition to limited analytics, and self-service features. Knowledge resources available to employees were fragmented and difficult to find with the platform’s search functionality, so employees rarely resolved questions on their own and defaulted to contacting a person. The HR team was forced to absorb a steady stream of repetitive, administrative requests, while limited reporting made service quality difficult to measure and identify areas of improvement. The platform also constrained any move toward a modern, scalable operating model, and because employees had adapted to the quirks of the old system, any transition carried real risk of friction and disruption.

Yet, Leadership recognized an opportunity to modernize, beyond digitizing existing processes. Their goal was to create more connected, efficient self-service-led experience that significantly improved the employee experience without removing human access. Through a formal RFP, the organization selected INRY for both its healthcare and ServiceNow experience, and ability to guide both strategic transformation and technical delivery.

Aligning stakeholders and ownership before configuration

Rather than open with the typical list of requirements and configuration, the engagement began by aligning on outcomes. INRY worked closely with HR practice heads and Center of Excellence leaders to understand how employees actually behaved: how they sought support, where knowledge lived, and which interactions could move to self-service without compromising quality.

These conversations established two foundations that shaped everything that followed. The first was a human-first principle: AI would expand what employees could resolve on their own, but it would never remove their seamless access to a specialist. The second was shared ownership. Working through the Centers of Excellence, INRY and the client co-created the initial Virtual Agent topics and the AI-ready content behind them, so those who owned each service area shaped how it would work.

By designing for adoption and ownership from the start, the organization entered the implementation phase with a clear view of how the platform would operate, who would govern it, and how it would continuously improve after go-live.

Building an AI-enabled HR service foundation on ServiceNow

Once aligned, INRY implemented a ServiceNow HR Service Delivery solution designed for both immediate self-service value and future expansion. With an eye on the defined objectives and foundational principles of the initiative, the solution brought together:

  • ServiceNow HR Service Delivery as the core service platform
  • Now Assist for HRSD, providing generative AI assistance to service agents
  • Now Assist in Virtual Agent, giving employees conversational, AI-powered self-service
  • AI Search and AI Recommendations, surfacing relevant answers at the point of need
  • 25–26 Virtual Agent topics covering the most common employee requests at launch
  • Knowledge migration and management, with legacy content validated and structured for AI consumption

The project extended well beyond configuration. Much of the knowledge assets employees needed did not yet exist on the platform, so INRY migrated content from legacy systems, validated it with the teams who owned it, and structured it for AI so that search and Virtual Agent responses drew on accurate, current information.

Additionally, INRY recognized the importance of helping the organization adopt the transformed employee experience. Organizational change management and training ran in tandem with the build to ensure it was embedded into the program rather than treated as a final step. INRY also trained the client’s teams to create and manage new Virtual Agent topics on their own after go-live, giving the organization durable, sustainable ownership of how the model evolves.

Throughout each strategic decision, the commitment to a human-first HR services never waivered. . AI accelerated self-service, but it never blocked access to a specialist. Employees could escalate to a person at any time, and that transparency gave both employees and service teams the confidence to adopt the new model.

Delivering measurable improvements across HR service

The impact was visible almost immediately. Employees gained a single, intelligent way to find answers and request support, while service teams gained generative assistance and clearer visibility into performance.

Self-service and deflection

  • 78% Virtual Agent success rate within weeks of launch
  • 25–26 self-service topics live at go-liv
  • Redundant queries reduced as AI Search and Virtual Agent deflection took hold

Agent productivity and adoption

  • 100% Now Assist adoption across the enabled HR service teams
  • Generative assistance helps agents resolve cases with less manual effort

Knowledge and experience

  • Legacy content migrated, validated, and structured for AI consumption
  • Faster employee access to accurate answers through conversational self-service
  • Human escalation is preserved at every step, strengthening trust in the new AI

Visibility and governance

  • Engagement and adoption are observable and managed for the first time
  • Ownership anchored with internal teams and the HR Centers of Excellence for continuous improvement

Transforming HR from a transactional function into a strategic capability

While the technology delivered measurable operational gains, the most significant outcome was organizational. The transformation helped the organization redefine the role of its people function. Freed from a steady stream of repetitive requests, service teams could redirect time toward higher-value workforce initiatives. Employees gained faster, easier access to the information and services they needed, and leaders gained the visibility to manage service on evidence rather than anecdote.

The foundation is also built to grow. With validated content, internally owned governance, and proven adoption, the organization is positioned to extend AI-enabled service to additional Centers of Excellence, widen the range of needs employees resolve on their own, and mature toward more context-aware, workflow-embedded automation over time, always within a human-first model where people retain ownership of judgment and escalation. What began as an HRSD modernization became a foundation for long-term, human-first transformation.

Ready to modernize your HR service experience?

The most effective HR transformations extend beyond platform or technology implementations. They align technology, governance, and employee experience around a shared vision, and they prioritize a human-first approach as AI expands the boundaries of employee self-service. When your organization is looking to streamline service delivery, improve its employee experience, or build a scalable, human-first AI foundation, INRY is your transformation partner.

Connect with INRY to explore how ServiceNow HR Service Delivery can transform employee support into a strategic capability.

Transform HR with ServiceNow

Modernize HR service delivery with ServiceNow HRSD, AI-powered workflows, and connected employee experiences designed to improve efficiency and workforce outcomes.

AI Transformation and Operating Model Design

Feature Image- AI Transformation (1)

Turn AI Adoption into AI Impact 

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.

Ebook: Enterprise AI—From Pilot to Pattern

Executive team reviewing Targetprocess portfolio reports to assess strategic alignment

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.

How a global healthcare company unified delivery and IT support through Atlassian consolidation

Global healthcare company unifying software delivery and IT support through Atlassian consolidation

When disconnected systems begin to slow the business 

The client is a global healthcare company with approximately 1,500 employees. Its Enterprise Technology organization supports critical functions across enterprise applications, cybersecurity, infrastructure, SAP, and business process engineering. 

As the organization grew, teams worked across separate systems for software delivery and IT support. Development teams operated in Azure DevOps, while IT support relied on ServiceNow. Consequently, visibility fragmented, ways of working diverged, and operational friction spread across the department. 

Within ServiceNow, teams treated nearly every request as an incident, regardless of the actual need. Routing lacked clarity, workflows were missing or poorly designed, and alignment to ITIL practices stayed limited. End users had little visibility into ticket status. Meanwhile, support agents struggled with awkward interfaces, limited customization, and inefficient processes. 

At the same time, product and development teams lacked standardized workflows and governance in Azure DevOps. This made consistency across delivery teams hard to achieve. 

The client set a clear goal: one unified operating model for delivery and support. This model needed to improve visibility, standardize execution, and support future growth. 

Turning fragmented delivery into a connected operating model 

Cprime partnered with the client to design and configure a connected Atlassian environment. This environment supports both software delivery and enterprise IT service management. 

To support software development and product delivery, Cprime implemented: 

  • Atlassian Guard 
  • Jira Software 
  • Confluence 
  • Big Picture for portfolio management 
  • Jira Product Discovery for future work pipeline management 

The implementation introduced a standardized work hierarchy across teams. It spans Themes, Initiatives, Epics, Features, Stories, Tasks, and Test Cases. In addition, dedicated product and team spaces now support consistent planning, prioritization, sprint execution, and collaboration. 

On the service management side, Cprime configured Jira Service Management (JSM) to align with ITIL practices. This work modernized the support experience through several changes: 

  • Separate workflows for incidents, service requests, and change requests 
  • Defined SLAs and routing processes 
  • Workflow automations 
  • Tailored customer portals for Business Application Support, Enterprise Technology Support, and Global Technical Support 
  • A bespoke deployment management solution to support CAB approvals and transport movement across environments 

Throughout the engagement, Cprime ran collaborative working sessions with Enterprise Technology leaders across IT, cybersecurity, and business process engineering. 

Standardizing work across teams without disrupting delivery 

One outcome stood out: the client consolidated disconnected delivery and support functions into a single Atlassian environment. 

Following the implementation: 

  • Product and development teams now operate with standardized workflows and consistent delivery structures 
  • Enterprise Technology teams gained improved visibility into work, priorities, and dependencies 
  • IT support operations align to ITIL best practices, with clearer categorization, routing, and SLA management 
  • End users have greater visibility into ticket status and support progress 
  • Support agents benefit from improved, customizable views within JSM 
  • The team removed licensing limitations that had restricted broader departmental participation 

In addition, Jira Product Discovery gave the client a structured approach for evaluating and managing future work. 

image

The connected delivery and change lifecycle established in the Atlassian environment.

Building a foundation for long-term operational maturity 

For the client, the engagement established a connected, standardized foundation for software delivery, IT support, and operational governance. 

By aligning teams within one environment, the client improved consistency across delivery and support. As a result, leaders gained clearer visibility into how work moves across the organization. 

As the organization continues to evolve, this foundation now supports scaling collaboration, governance, and enterprise delivery practices. Because the model is built to grow with the business, adoption continues well beyond the initial rollout. 

Frequently asked questions (FAQs) 

What is Atlassian consolidation? 

Atlassian consolidation brings software delivery and IT support onto one connected Atlassian environment. Teams replace disconnected tools with shared workflows, clearer governance, and consistent visibility across delivery and service management. 

How does Jira Service Management support ITIL practices? 

Jira Service Management aligns with ITIL through separate workflows for incidents, service requests, and changes. Defined SLAs, routing rules, and change approvals help IT support operate with clearer categorization and accountability. 

Can teams move from Azure DevOps and ServiceNow to Atlassian? 

Yes. Development work can move into Jira Software and Confluence, while IT support moves into Jira Service Management. A partner-led implementation standardizes workflows and governance, so the shift improves consistency rather than adding disruption. 

What are the benefits of unifying software delivery and IT support? 

Unified delivery and support give leaders shared visibility into work, priorities, and dependencies. Standardized workflows reduce friction, while end users and support agents gain clearer status and more usable service experiences. 

How does Cprime approach an Atlassian implementation? 

Cprime works through collaborative sessions with technology leaders to design the operating model first. Configuration of Jira Software, Confluence, and Jira Service Management then reflects how work and decisions actually flow, which supports adoption over time. 

Ready to modernize delivery and service management?

Disconnected systems and inconsistent processes make it hard to scale delivery and maintain visibility. Cprime helps organizations unify workflows, modernize service management, and build operating models that sustain execution.

Through Atlassian consolidation, your teams can replace fragmented tooling with one connected way of working. If fragmented tools or limited visibility are slowing your teams, now is the time to act.

From Idea to Impact: Getting Immediate Value from Atlassian Intelligence 

Atlassian Intelligence transforming ideas into actionable outcomes with AI-powered teamwork

Getting disappointing results from AI? It could be because AI is often used like a vending machine — type a prompt, hope something usable comes back. 

There’s a better approach. 

This session demonstrates a repeatable, human-guided AI loop where curated discovery inputs turn Atlassian Intelligence into a true teammate that delivers actionable, high-quality work. You’ll learn a framework for improving Atlassian AI performance by providing the right context through the Teamwork Graph, a pattern that works across teams and workflows. We’ll make it real with a live product discovery-to-development example, showing how better inputs turn rough ideas into clear, buildable work. 

The key insight: AI is only as good as the context it’s given. Curation drives quality. Verification drives confidence. When humans invest in the right inputs up front and confirm the output, AI starts producing work that’s genuinely useful, and speed to value follows. 

Key Takeaways 

  • Learn a repeatable framework for improving Atlassian AI outcomes by providing the right context through the Teamwork Graph. 
  • See how curated context, not clever prompts, determines AI output quality. 
  • Build reusable context assets using pattern pages and agent configuration. 
  • Brief an AI agent the same way you’d brief a new team member. 
  • Apply the iterative loop: human curates context, AI drafts and improves, human verifies. 
  • Compress idea-to-ready timelines without sacrificing clarity or rigor 

The Work Behind the Work: Building Measurable, Compounding Value from Atlassian Cloud

Atlassian TechTalk Webinar

As Atlassian Data Center approaches end of life, organizations face a critical inflection point. Some are planning their move to cloud. Others already in cloud are asking a different question: how do we realize the value we expected?

In both cases, the challenge is the same. Moving platforms does not change how teams work. Without an intentional approach, migrations carry forward existing behaviors, adoption slows, and AI capabilities remain underused.

In this webinar, Cprime presents a clear view of what drives value in Atlassian Cloud and introduces a proven path for turning migration or existing cloud investments into measurable outcomes. We show how to redesign ways of working, govern change with discipline, and embed intelligence across Jira and Confluence so cloud supports better decisions, faster execution, and sustained improvement.

What you will gain:

  • What drives value realization in Atlassian Cloud, whether you are migrating or already live
  • The risks of moving to cloud or operating in cloud without a clear path
  • How leading organizations turn migration and cloud investments into measurable, compounding ROI
  • Why most teams capture only a fraction of Atlassian Cloud’s potential
  • How to close adoption gaps and embed AI into real workflows
  • The core elements of a path from migration to sustained performance
  • The operating model behind aligned, high-velocity teams
  • How to measure and improve Atlassian value over time

Fill out the form to watch now

Ebook: Atlassian Cloud—From First Step to Full Mastery

cover-stack-cprime-no-bg (1)

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?

Get your copy of this guide now.