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AI in construction 101: How to keep your firm competitive | Wipfli
AI is playing a bigger role in construction. Firms that don’t adapt risk being left in the dust. But what does a smart, effective AI strategy actually look like for your firm?[
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AI in senior living: How organizations can use AI to scale smarter
AI is changing how businesses and organizations operate across sectors — and healthcare is no different. But while senior living leaders are curious about AI’s potential, many are unsure of how to convert that promise into meaningful results in areas like medication management, EHR analytics, personalized care and an all-around better experience for residents. However, the biggest roadblock here is often not technology, but mindset. Keep reading to learn more about how to solve that, plus more effectively implement AI within your senior living organization. What’s stopping senior living organizations from embracing AI? Faced with challenges like rising costs and Medicaid cuts that are already taking effect, many senior living organizations could benefit from finding efficiencies through AI. But this has proven easier said than done, in part because embracing AI demands a mindset shift. AI is a change management problem While integrating AI into your senior living organization does require implementing new tools and upskilling your team, it’s also largely an exercise in change management. Your team is used to operating one way, which can make building and sustaining the momentum you need to rebuild your systems or processes to take advantage of AI or automation tools feel a little bit like pushing a boulder up a hill. According to a survey of Wipfli clients, 91% of businesses or organizations report that non-technical obstacles are the biggest blockers to better leveraging new technologies like AI. Meanwhile, only 19% of executives actually feel comfortable leading an AI-transformation effort. In other words, because AI is still such a new and rapidly developing technology, organizations and leaders don’t feel comfortable with it. And that discomfort can make it harder to create results. Haphazard AI use can actually slow adoption and create chaos Is your senior living organization currently using AI? If your first instinct is to answer no, there’s a very good chance you’re wrong, because some of your individual team members are almost certainly using AI tools, regardless of whether they have buy-in from leadership. However, this risks creating a wild west scenario, where AI gets implemented piecemeal or haphazardly and without any overarching AI strategy. In this situation, you won’t have any governance standards, policies or processes to help ensure consistency, and can even risk HIPAA violations by exposing PHI to AI tools that don’t meet compliance requirements. Plus, such haphazard efforts will often flounder, blunting momentum for a more organized AI implementation plan. How should senior living organizations more effectively leverage AI? For senior living leaders looking to develop an effective, organization-wide approach to AI, the process matters. Specifically, you want to determine where you want to go, how you’re going to get there and what tools you’ll need to succeed. 1. Establish direction by identifying specific problems you want to solve A good AI strategy doesn’t mean buying your team a ChatGPT Pro subscription. Instead, identify specific problems within your organization where AI could make a difference. For example, if your organization is struggling to find skilled healthcare workers to fill key roles, consider whether AI could allow you to deploy your existing team more effectively by automating certain lower-level tasks so your staff can focus on more patient-centric work. Or can AI analyze data from your EHR to identify patient health trends you can use to improve care? Here, it can be good to lean on an advisory firm to help assess your current systems and processes and find gaps that AI could fill. You can also do this entirely in-house, so long as you keep the focus on looking for problems to solve. 2. Design your AI implementation strategy Once you’ve found problems that AI could help solve, you need to build a framework for implementation. This means designing an organization-wide AI strategy to help put new solutions into place. This includes laying out specific steps in the implementation process, identifying leaders or change champions to actually spearhead the rollout and establishing KPIs. It’s also essential to evaluate your existing data sources and prepare them for use by AI tools, a process that can include establishing a centralized data repository or warehouse. During this effort, you’ll need to consistently communicate with your whole team about why change is happening here and how they can help, as well as consider what training or upskilling opportunities you’ll need to provide. 3. Deliver by implementing specific tools that fit your strategy At this point, you can start implementing AI tools to solve the specific organizational problems you’ve chosen to target. However, this isn’t just a one-and-done event, but an ongoing process that involves both choosing the right tools and embracing the human, change management side of the equation. Your advisor can help you decide which AI solutions make sense for your needs, as the market has brought forth a dizzying array of options. Within your organization, communication remains essential, as you need to not just establish momentum, but maintain it. How can leaders prepare to oversee an organizational AI strategy? An effective AI strategy typically starts at the top, with commitment from leadership. So how should leaders prepare to oversee this effort with an eye towards more effective change management? Here are key leadership pillars to consider: Self-awareness: Before you ask your team to change by implementing AI, are you prepared to do the same? AI literacy: Your leadership team and organization need a shared understanding of what AI actually is and how you’ll be using it. Change leadership: Don’t just throw change at your team, but implement thoughtfully through planning, clear communication and celebrating wins or milestones. Effective use of resources: Throughout your AI implementation process, consider what work is being done, who will perform it, when it should happen and why it matters. Coaching and upskilling: Create training or coaching opportunities for your whole team to adapt to the changes within your organization. Read more Maximize new tax strategies for senior living providers 5 strategic planning imperatives for senior living organizations Embracing change in senior living: The path to innovation and growth
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Capital allocation strategy: A guide to help CFOs establish funding priorities
For many businesses, capital allocation strategy is no longer just about where the organization wants to grow. It’s increasingly about whether the business has the cash flow visibility, operational readiness and execution capacity required to support growth effectively. That shift is changing how finance leaders approach capital allocation planning, investment sequencing and long-term financial performance heading into the next fiscal year. Keep reading to learn more. What is capital allocation strategy? Capital allocation strategy is the process of deciding how to best deploy your business’s financial resources to achieve growth and profitability. This involves reviewing your business’s strategic goals and deciding when and where to spend money to achieve them. Capital allocation strategy is led at the C-suite level, often with input from the board. CEOs, CFOs and other top executives are typically part of capital allocation conversations. Why does capital allocation strategy matter? Capital allocation strategy matters because effectively deploying your business’s financial resources is essential to growth and profitability. Even the most successful businesses can’t afford to burn through capital aimlessly, so implementing a focused capital strategy that aligns with your strategic goals helps ensure that your spending drives those goals forward. Capital allocation strategy is changing as decisions become more operationally connected In many organizations, challenges or pressures first appear operationally long before financial reporting clearly reflects the issue. In response, leaders are taking a more adaptive, flexible approach to allocating capital. Finance leaders are now basing capital allocation on a broader set of criteria Historically, capital allocation processes often focused heavily on projected return, growth potential and budget availability. Today, finance leaders are evaluating a broader set of operational and financial questions that help determine whether investments can realistically deliver long-term ROI. Does this investment strengthen the organization’s core business strengths or competitive position? Will this investment improve operational efficiency or execution capacity? Will it reduce friction or introduce additional complexity? Does the organization have the capacity to support implementation successfully? Will it improve measurable financial outcomes such as EBITDA, cash flow or margin performance? Does leadership have sufficient visibility to evaluate performance and ROI effectively? Why CFOs are prioritizing visibility, scalability and cash flow management In many organizations, growth initiatives expanded faster than the surrounding processes, capacity, reporting structures and operational workflows could mature around them. Over time, that creates fragmented reporting, inconsistent visibility and growing execution pressure across finance and operations teams. As a result, CFOs are placing greater emphasis on capital allocation planning tied directly to: Working capital visibility Forecasting accuracy Operational scalability (link to strategy and operations consulting) Cash flow management Margin improvement Technology utilization Workforce flexibility Measurable EBITDA levers That shift is making capital allocation strategy far more operationally integrated than in previous planning cycles. Why leaders should reevaluate spending that creates drag Many organizations are reevaluating investments that increase activity without improving visibility, decision-making or long-term operational performance. Here are key actions: Reassess certain expenditures that may be unnecessary Consider whether all your current expenditures are still necessary. We frequently see leadership teams reassessing: Underutilized technology platforms Duplicate systems and vendors Manual reporting processes Initiatives with unclear ownership Investments that expand staffing pressure without improving scalability Programs that continue simply because they already exist Individually, these issues may appear manageable. Collectively, they create operational drag and bottlenecks that limit flexibility and consume leadership attention. Ask hard questions to determine whether spending is necessary Overcoming operational drag is one reason capital allocation strategy conversations are increasingly tied to operational efficiency and performance improvement efforts across the organization. In pursuit of that effort, finance leaders are asking harder questions about: Where investment should continue When to continue investing — and when to divest, consolidate or exit Which initiatives should pause or be moved to long-term Where outside expertise may improve flexibility Which operational burdens can be outsourced Consider whether some finance infrastructure may be unnecessary Many organizations are also reevaluating whether existing finance infrastructure is creating unnecessary complexity. In some cases, disparate systems and inconsistent reporting environments make it difficult for leadership teams to evaluate performance confidently or prioritize investments effectively. That’s driving increased focus on forecasting visibility, reporting modernization and financial planning and analysis capabilities that improve decision-making across the business. Visibility is becoming more valuable than speed Many leadership teams still want to move quickly. But increasingly, CFOs are recognizing that accelerating decisions without improving visibility often creates more operational strain later. And many leadership teams are recognizing that faster decisions are not helpful if the underlying reporting environment is inconsistent or difficult to trust. That’s driving greater investment in: Financial planning and analysis Forecasting and reporting modernization Scenario planning capabilities Cash flow visibility ERP optimization Working capital management Operational reporting consistency Without strong visibility, organizations often struggle to identify: Where cash flow pressure may already be building Which initiatives are improving financial performance Where profitability trends may be deteriorating Which investments should accelerate Which initiatives should pause or consolidate And where operational bottlenecks may limit future growth This is especially important as organizations face increasing pressure to justify capital allocation decisions with measurable operational and financial outcomes. Selective investment is replacing broad expansion Many organizations are still investing confidently. But increasingly, leaders are prioritizing investments tied to measurable operational value, stronger forecasting visibility and improved execution capacity. Key CFO capital allocation priorities We continue to see organizations prioritize: Automation tied to measurable efficiency gains Strategic outsourcing to increase scalability Financial visibility and forecasting improvements Working capital optimization Margin improvement initiatives Tax strategies that improve after-tax performance Selective modernization with clear operational outcomes Targeted acquisitions aligned to execution capacity Where CFOs are reining in spending At the same time, many are slowing or reevaluating initiatives that: Add operational complexity without improving visibility Require significant organizational change without clear ownership Create unclear or difficult-to-measure returns Expand strain across already overloaded teams That shift reflects a broader evolution in how finance leaders approach capital allocation and long-term planning. Growth remains a priority. But increasingly, leadership teams are evaluating whether the organization can realistically absorb additional complexity before accelerating investment further. Why an effective capital allocation strategy requires operational clarity The strongest capital allocation strategies are no longer driven solely by projected growth opportunities. They are increasingly shaped by cash flow visibility, operational readiness and execution capacity across the business. That’s changing how leadership teams approach: Investment prioritization Financial scenario planning Working capital management EBITDA improvement Technology modernization Workforce planning Long-term operational scalability Organizations navigating this environment most effectively are not necessarily the ones moving the fastest. They are the ones creating the clearest connection between financial performance, operational execution and long-term value creation. Capital allocation best practices As you develop your capital allocation strategy, keep certain best practices in mind. These include: Balance growth and operational capability: Capital should drive growth but be sure to invest in the operational infrastructure needed to support that growth as well. Reevaluate existing spending: Consider whether your current investments still align with or support your strategic goals. Prioritize visibility: Financial and operational visibility is essential to determining whether your investments are paying off or should be reconsidered. Avoid unnecessary complexity: Unfocused or unnecessarily complex systems, processes or initiatives create drag on your business as a whole. Read more AI ROI: How to get more business value from your AI spending When to hire a fractional CFO: Key signs your business is ready for strategic financial leadership Strategic management vs. strategic planning: a short guide
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Technology consulting FAQ
Technology consulting services help organizations use technology to change how they operate and stay competitive. In addition to helping you select and implement new solutions, technology consulting focuses on helping you develop a digital strategy and manage change in your organization so that your people can adapt to new tools and processes successfully.
Wipfli’s approach to digital transformation is tailored to each client; however, we always keep our support rooted in your organization’s specific needs.
We focus first on understanding your organization, including critical processes and strategic direction, so that your IT vision is aligned with organizational priorities. We then provide technology initiative assessments and readiness benchmarking to help you understand your current state and create an actionable road map for advancement.
How digital transformation will impact your existing tech stack depends on your current IT maturity, as well as the solutions you want to implement.
Wipfli can help you determine an effective way to see faster impact while working with your current state. We also guide you in prioritizing projects, so you adopt new technology in the right sequence to support your organization’s planned growth.
Our approach helps ensure that every step is intentional and supports long-term value.
The level of investment you need to make in new technology depends on where your organization is in your digital journey. Wipfli’s digital technology consulting applies our experience with a wide range of sectors to help you understand the right investments for your industry and organization.
Adopting new digital solutions begins with understanding your industry benchmarks and your organization’s unique needs.
With extensive experience across a wide range of industries, we help you understand what digital investments look like at an industry level, so you know if your organization is advancing at a competitive pace. We then apply that insight to evaluate technology adoption through the lens of your operational objectives and organizational context. The outcome is a targeted, data-driven strategy that aligns the right technologies with your organization’s unique goals and challenges.
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