Beyond Automation: Exploring the Current Trends Redefining RPA

What are the Sleek Trends in RPA Coupled with AI?

AI-driven robotic process automation assists businesses in navigating the present business climate.

RPA spends are now becoming more mature. Watch the evolution from hype to strategic implementation,

According to Gartner, the RPA market’s growth rate was 22% in 2022. Compared with the 31% growth rate in 2021 and 63% in 2020, this slower growth shows that the initial excitement phase is over and now investments are more calculated and mature. By the end of 2024, the RPA market size is anticipated to surpass $5 billion, reflecting its increasing adoption across various industries.

The Maturing RPA Market: From Exuberance to Calculated Growth

Here are some of our analyses of RPA trends for 2024, which focused on seven key areas:

• Generative AI + intelligent automation.
• Digital worker-first workflows.
• Transition from pure play to platform play.
• Strategic applications.
• Better user accessibility for citizen developers.
• Ethical automation and ESG compliance
• Governance and security.

The Rise of Intelligent Automation (IA) - Next-Gen RPA

With artificial intelligence getting really popular, robotic process automation is doing more than just repeating tasks. RPA apps are moving beyond just copying data from screens and automating basic jobs. They are evolving into bigger automation platforms with built-in features like:

• Finding processes to automate on their own
• Understanding and working with documents using AI
• Learning and making decisions with machine learning
• Building bots easily with low-code tools
• Managing and running complicated workflow sequences

RPA bots are getting brains! Instead of just following instructions, these smarter automation bots actually understand the work they are doing. This is the future of automating tasks - bots that think for themselves.

Thus, Intelligent Automation (IA) blends the cognitive capabilities of AI, machine learning, and natural language processing with conventional RPA. This opens up new possibilities for decision-making, task automation, and even handling unstructured data. IA is expected to become more popular in sectors including banking, finance, and insurance.

RPA Goes Sky-High with Cloud Power

Cloud-hosted RPA solutions are soaring in demand thanks to their simple setup, ability to scale up or down with ease, and cost-saving potential. Experts at Gartner predict that by 2024, over 20% of robotic process automation initiatives will make the leap to cloud deployment, gifting organizations the coveted agility and flexibility they crave.

Automation for All Industries with Easy-Build Bots

User-friendly, low-code/no-code RPA platforms are democratizing automation by making it accessible to anyone, tech skills or not. These intuitive tools empower everyday business folks to easily automate simple tasks themselves, freeing up the IT team to focus their expertise on more complex automation projects.

The Rise of Automation Control Centers

As major automation vendors consolidate, enterprises are establishing centralized "automation centers of excellence" (CoEs). These dedicated automation hubs drive efficiency, productivity, cost savings, and compliance.

CoEs define an automation vision aligned with business goals, prioritize processes to automate, and set governance for secure, scalable deployments. They standardize bot development and rollout practices.

With CoEs, companies get a centralized approach to strategically scaling their digital workforce. As automation grows, these control centers enable disciplined, enterprise-wide bot rollouts.

Governing the RPA Boom with Control Centers

As RPA explodes in popularity, companies are enforcing tight governance and standards to maintain consistency, security and compliance across automation initiatives.

The solution?

Dedicated RPA Centers of Excellence (CoEs) to centrally manage and optimize companies' growing digital workforces.

These CoEs define automation policies, standardize bot development and deployments, and oversee holistic automation programs. With RPA rapidly scaling, these control centers bring much-needed order and oversight to enterprise bot rollouts.

Data Management in the Limelight

Data is the fuel of intelligent automation. Organizations are realizing the importance of robust data management practices to ensure accuracy, consistency, and accessibility for their RPA bots. Expect to see increased investment in data governance and quality initiatives.

The Data Imperative for Intelligent Automation

Data is the lifeblood of smart automation. To fuel accurate and consistent RPA bots, companies are laser-focused on robust data management.

Expect rising investments in data governance and quality initiatives. Organizations realize the need for high-fidelity, accessible data to unleash automation's intelligent capabilities.

With AI-powered automation on the rise, clean, well-governed data is crucial for peak bot performance. Mastering data excellence has become an automation imperative.

Always Innovating, Never Forgetting Our Roots

At AIRPA, we're always looking for new and better ways to automate. But we never forget what made us successful - our proven methods and our hard-working digital workforce that's easy for anyone to use.

While exploring fresh ideas, we stay true to the reliable processes and efficient bots that are the backbone of our company. Moving forward while holding onto what works - that's how we bring the best automation.