Quick Take: Global survey analysis of more than 25,000 consumers, business buyers, and professionals finds that customer expectations are growing amid the transition to all-digital experiences. And employees – who are already stretched thin – are feeling more pressure to meet demand. In response, many business leaders are turning to AI and workflow automation.
Data from the Trends in Workflow Automation report calls out four key findings shaping the employee-to-customer relationship:
Employees stretched as customer expectations for digital experiences rise
The pandemic and its aftereffects created urgency to adapt — nearly overnight — to a new set of customer needs and habits, accelerating what were once slow digitization transformations. With restrictions on physical interaction and a sudden upheaval to customers’ lifestyles and businesses, the call for digital change has been loud.
- 87% of consumers and business buyers expect companies to accelerate digital initiatives due to COVID-19.
- 67% of consumers and business buyers say COVID-19 has elevated their expectations of companies’ digital capabilities.
Rising customer demands have reached employees already contending with new work environments and personal stressors. For many, work days are longer than they used to be.
- 35% of employees working remotely during the pandemic report working later than usual hours.
- Four in five executives at companies with at least 10% revenue growth say employee experience is a top objective.
Automation rises as an IT imperative, cutting costs and time
“Covid created massive pressure to digitize and automate workflows fast to handle the triple threat of overworked employees, changing customer expectations, and brand new processes” said John Kucera, SVP of Product Management, Automation.
“Organizations turned to low-code workflow automation to automate repetitive tasks, freeing up employees to make human connections with customers and adjust to the changing business needs. This has trained over 100,000 companies how to create intelligent automation fast, so you’ll see it play an even bigger role to come in the future.”
With employees across the business asked to do more with less, technical leadership has set its sights on workflow automation.
- 95% of IT and engineering leaders say their organizations are prioritizing workflow automation.
- 75% of organizations that have implemented workflow automation see the equivalent of 4+ hours in time savings per 40-hour week. Employees will have more time for strategic work as manual tasks shift from human to machine.
- 78% of IT and engineering leaders either currently use or plan to use AI as part of their workflow automation initiatives.
Service automation takes off as pressure increases to improve employee and customer experience
“If there’s one thing that 2020 has taught all of us it’s that the world is now all-digital, and there’s no going back. Customers are expecting faster if not instant responses to more complicated cases, across more channels than ever before — adding more headcount can’t be the only answer” said Clara Shih, CEO of Service Cloud.
“Within this environment, Service leaders must look to AI-powered bots, self-service, and modern work orchestration to intelligently route work to the right person with the right skills in order to reduce the burden on their support teams while living up to customers’ expectations.”
AI has become a powerful aid in customer service, working behind the scenes to raise insights and recommendations, populate data, and trigger processes. But there’s room for growth.
- Fewer than 50% of service teams currently report using AI, but a majority of service decision makers say they have a fully defined AI plan.
- 33% of service decision makers report their organizations use AI, representing a 37% increase since 2018.
- 71% of service decision makers say they’re accelerating automation initiatives.
“Customers are expecting faster if not instant responses to more complicated cases, across more channels than ever before — adding more headcount can’t be the only answer”
Clara Shih, CEO, Service Cloud
Customer service teams are looking to automation for relief from escalating workloads. Time-consuming manual processes, like collecting background information and conducting after case work like follow-up actions, can frustrate both the customer and the employee.
- 57% of customers say COVID-19 has raised their standards for customer service.
- 73% of service professionals say managing case volume has become more challenging.
- 39% of service organizations use chatbots, representing a 72% increase since 2018.
AI goes mainstream in sales
According to sales leaders, AI helps reps better address customer needs. AI has been rapidly growing in the sales realm, helping to improve forecast accuracy and customer insights, but leaders say AI’s most significant impact ties directly back to the customer relationship. Put simply, AI helps sales reps spend more time with each customer and better understand their unique needs.
- 33% of sales organizations use AI, which is a 49% increase over 2018 numbers.
- 52% of customers expect offers from companies to always be personalized.
- 90% of sales reps say current economic conditions make it important to anticipate customers’ needs.
“We saw a new type of buyer emerge in 2020 who is looking for a trusted partner and similar business values before a transaction can even take place. Every interaction needs to be impactful when customers expect fast outcomes and everyone is short on time,” said Taksina Eammano, SVP of Product Management, Sales Cloud.
“As sales teams are tasked with getting businesses back to growth, sellers are turning to AI to understand their customer’s needs faster, and in turn, creating stronger partnerships that last beyond a one-time transaction.”
Dive deeper on these insights and more by reading the Trends in Workflow Automation Report.
Note: For this research report, we standardized countries across some of the cited source studies (i.e., the most recent State of Sales, State of the Connected Customer, and State of Service surveys). As a result, numbers published here may differ from those in the original reports.
