Technology is an indispensable ally for navigating process compliance challenges with confidence. That’s because as digitization expands and regulatory requirements change, process compliance becomes more and more difficult to address manually. In this blog post, we’ll examine common process compliance challenges and how technology can help solve them. The most significant challenges for process compliance are manual and paper-based systems.

The effects of disconnected data are many: lack of data-driven decision making, inaccurate information, and slower processes, to name just a few. When you quantify the total cost of data silos, you’ll find that organizations have a lot to lose. While many data silo statistics predict a gloomy future where organizations struggle to unite their enterprise data, new approaches to data management, like data fabric, can help.

If your business has a lot of complex workflows, you’re likely relying on a number of tools and manual processes to get things done. And if you’re seeing that processes are slow, inefficient, or require a lot of manual work, business process modeling tools can help. Business process modeling tools are specifically designed to help you model and optimize your business processes.

If you’re not using artificial intelligence (AI) in your organization right now, you’re behind. But the reality is that beyond inputting some ideas into a large language model like ChatGPT, AI just isn’t that simple to operationalize across your business (although the benefits are real).

As artificial intelligence (AI) changes industries at a dizzyingly rapid pace, industries and governments alike are just beginning to grapple with the implications of the groundbreaking technology. One major issue has come to the foreground: data privacy concerns. Between possible data breaches and companies using your data to train their own models (and perhaps helping your competition in the process), enterprises have concerns.

The banking industry is no stranger to crises, and 2023 has proven to be a challenging time for banks worldwide. As financial institutions face a multitude of risks and uncertainties, robust risk management practices are essential for success. In this post, we’ll delve into the significance of risk management in weathering the 2023 crisis and offer key strategies for successfully navigating these turbulent times.

Robotic process automation (RPA) refers to the use of software robots, or "bots," that mimic human actions to automate repetitive tasks within business processes. RPA technology can interact with applications, systems, and data sources to automate procurement tasks such as data entry, document processing, and report generation.

Bank turmoil associated with recent bank failures has highlighted the importance of due diligence for managing financial risk, growing revenue, and retaining jittery customers. Regulators will likely ramp up their scrutiny–even after hitting financial institutions with a jaw-dropping $2.7 billion in fines in 2021 for failing to meet compliance and due diligence standards.

Your organization has an unstoppable digital transformation plan—at least that’s what you thought before you started encountering the disadvantages of data silos. Your teams were fired up and ready to go, but data separated by different systems created obstacle after obstacle to your digital transformation dreams.

The insurance industry is quickly moving into a digital-first future where emerging technologies will reshape the way policies are sold, claims are processed, and risks are managed, and where market leaders are automating critical workflows to deliver seamless experiences, enhance customer satisfaction, and unlock profitability.

If you’re worried about the potential for heightened regulatory scrutiny in financial services, you’re not alone. Business operations teams everywhere are focused on the end-to-end, client lifecycle management (CLM) process as they cope with ever-changing regulations governing how, when, and where client data can be stored and accessed. It’s hard to stay compliant when customer data is spread across multiple operational silos.

Large-scale enterprise modernization initiatives are taking place across the public sector, with agencies striving to gain efficiencies through better use of more modern technologies, such as low-code platforms, and employing data in novel ways in the decision-making process. These modernization efforts disrupt the business processes that have developed around the outdated solutions these efforts aim to replace.

Process efficiency might not be flashy, but its impact is substantial. Improving process efficiency—from developing new applications faster to automating manual tasks—can amount to millions in savings. According to a Total Economic Impact™ (TEI) study, conducted by Forrester Consulting and commissioned by Appian, a composite organization comprised of interviewees with experience using Appian realized: How exactly are customers realizing these benefits?