In 2020 professional services organizations (PSOs) are profoundly experiencing at least three different and substantial disruptions to their business, and often several secondary ones as well.
It was the arrival of COVID-19 earlier this year that led to lockdowns around the globe that have curtailed client demand and hampered project delivery. Those same lockdowns have also restricted project staff to their homes for the most part, slowing down client projects and impacting billable work. Finally, a rising economic downturn is wreaking havoc both in client budgets as well as the PSO firms’ own finances, leading to urgent calls for cost cutting and new efficiencies.
It’s the proverbial perfect storm of major challenges and it’s leading to a dramatic impact on customer success as well as affecting morale of the talent base in most PSOs. This has resulted in calls for a widespread push within firms to rapidly rethink and update their operating models to determine the right mitigations and respond effectively.
Except, as many have found, responding quickly and effectively to these challenges is hard to do when so much uncontrolled change is currently taking place.
In fact, many PSOs will be tempted to focus first on cost control to ensure short-term survival. While this is a natural response that does offer immediate and tangible control over a once-in-a-lifetime event filled with uncertainty, organizations must also remain mindful of the vital characteristics of professional services firms. Overly enthusiastic responses to this year’s disruptions can adversely impact the organizations strategic operating model long term.
The risk is in affecting the overarching characteristics of professional services firms. In particular, it is two stand-out characteristics that make them unique in the industry: One is the nature of the highly bespoke work they do that is especially tailored for each client regardless of tools, services model or data. The second is the special nature of cultivating successful long-term client relationships. Both of these characteristics require intensive and skilled delivery capabilities. Finally, underpinning both of these foundational characteristics is the high leverage human capital model that determines both revenue and profit for the PSO, and which needs to be finely tuned across the many layers of the organization.
This was a painful lesson learned across the PSO industry from the 2008-2009 financial crisis. Decisions made too expediently negatively impacted firms long after the crisis had passed. Studies have shown that decisions to reduce talent or cut compensation and billable time affected their client relationships as well their brand image for many years. Conversely, the firms that weathered the short-term pressure and managed to keep hard-to-replace human capital prospered as the economy recovered. In this same vein, organizations with a clear sense of the type of PSO that must emerge from the veil of 2020 — and what it will take to thrive in the resulting market conditions — will be in the best position to prosper.
Figure 1: The Pre-2020 Model of PSOs is Giving Way to a New Client/Talent Focused Model
It’s therefore paramount that any cost control discussions be viewed through the constructive lens of the organization’s business and talent strategy, along with its future operating model. In order to be able to do that, the business must first recalibrate their core strategy and execution with today’s fresh realities in mind:
In other words, there are major prospects to do more than just survive through brute force cost cutting. Instead, more elegant solutions afford themselves if first the PSO will engage in a rapid rethinking through a view of the current the art-of-the-possible. In essence, a combined business and digital transformation. This transformation will generally consist of a combination of bold new ideas, better integration and consolidation of operational activities, and powerful new technology tools including automation, holistic user experience upgrades, and powerful new concepts from the realm of digital business.
As it turns out, the typical PSO has been experiencing quite a bit of change in the last couple of years anyway. Trends like more dynamic staffing approaches, better automation of delivery, more project analytics and diagnostics, have all led to improved services, higher margins, and greater customer success. Often led initially by technology, which has led to simultaneous advances in re-imagining the operational models of PSOs through new capabilities, a new type of PSO is emerging that is more agile, lean, digitally-infused, and experience-centric.
Driven by industry trends, technology innovations, and changes in the world, below are the types of key shifts that are being seen in PSO organizations as a result of the events in 2020. These trends are grouped into three categories, focusing on the business/clients, the worker, and overall health and wellbeing of all PSO stakeholders.
In summary, PSOs have a historic opportunity to pivot to adapt to the significant disruptions they have faced so far in 2020. By adopting an updated operating model and quickly delivering on it with clients and talent using new solutions, PSOs can avoid the most damaging types of cost cutting while being positioned for growth in 2021 and beyond. That is, as long as they are willing to think outside the box and adopt sensible yet far-reaching shifts in their strategies, tools, and operating models.
Source : https://www.constellationr.com/blog-news/rethinking-professional-services-organization-post-2020
Recently in a risk management meeting, I watched a data scientist explain to a group of executives why convolutional neural networks were the algorithm of choice to help discover fraudulent transactions. The executives—all of whom agreed that the company needed to invest in artificial intelligence—seemed baffled by the need for so much detail. “How will we know if it’s working?” asked a senior director to the visible relief of his colleagues.
Although they believe AI’s value, many executives are still wondering about its adoption. The following five questions are boardroom staples:
Organizational issues are never far from the minds of executives looking to accelerate efficiencies and drive growth. And, while this question isn’t new, the answer might be.
Captivated by the idea of data scientists analyzing potentially competitively-differentiating data, managers often advocate formalizing a data science team as a corporate service. Others assume that AI will fall within an existing analytics or data center-of-excellence (COE).
AI positioning depends on incumbent practices. A retailer’s customer service department designated a group of AI experts to develop “follow the sun chatbots” that would serve the retailer’s increasingly global customer base. Conversely a regional bank considered AI more of an enterprise service, centralizing statisticians and machine learning developers into a separate team reporting to the CIO.
These decisions were vastly different, but they were both the right ones for their respective companies.
Considerations:
When people hear the term AI they conjure thoughts of smart Menlo Park hipsters stationed at standing desks wearing ear buds in their pierced ears and writing custom code late into the night. Indeed, some version of this scenario is how AI has taken shape in many companies.
Executives tend to romanticize AI development as an intense, heads-down enterprise, forgetting that development planning, market research, data knowledge, and training should also be part of the mix. Coding from scratch might actually prolong AI delivery, especially with the emerging crop of developer toolkits (Amazon Sagemaker and Google Cloud AI are two) that bundle open source routines, APIs, and notebooks into packaged frameworks.
These packages can accelerate productivity, carving weeks or even months off development schedules. Or they can exacerbate collaboration efforts.
Considerations:
It’s all about perspective. AI might be positioned as edgy and disruptive with its own internal brand, signaling a fresh commitment to innovation. Or it could represent the evolution of analytics, the inevitable culmination of past efforts that laid the groundwork for AI.
I’ve noticed that AI projects are considered successful when they are deployed incrementally, when they further an agreed-upon goal, when they deliver something the competition hasn’t done yet, and when they support existing cultural norms.
Considerations:
Incumbent norms once again matter here. But when it comes to AI the level of disruption is often directly proportional to the need for a sponsor.
A senior AI specialist at a health care network decided to take the time to discuss possible AI use cases (medication compliance, readmission reduction, and deep learning diagnostics) with executives “so that they’d know what they’d be in for.” More importantly she knew that the executives who expressed the most interest in the candidate AI undertakings would be the likeliest to promote her new project. “This is a company where you absolutely need someone powerful in your corner,” she explained.
Considerations:
If you’re new to AI you’ll need to be careful about departing from norms, since this might attract undue attention and distract from promising outcomes. Remember Peter Drucker’s quote about culture eating strategy for breakfast? Going rogue is risky.
On the other hand, positioning AI as disruptive and evolutionary can do wonders for both the external brand as well as internal employee morale, assuring constituents that the company is committed to innovation, and considers emerging tech to be strategic.
Either way, the most important success measures for AI are setting accurate expectations, sharing them often, and addressing questions and concerns without delay.
Considerations:
These days AI has mojo. Companies are getting serious about it in a way they haven’t been before. And the more your executives understand about how it will be deployed—and why—the better the chances for delivering ongoing value.
Source : https://www.cio.com/article/3318639/artificial-intelligence/5-questions-ceos-are-asking-about-ai.html
Recent Comments