Robotic Process Automation (RPA) Software Resources - Page 13
Articles, Glossary Terms, Discussions, Topics, and Reports to expand your knowledge on Robotic Process Automation (RPA) Software
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, topics to contrast viewpoints, and reports from industry data.
Robotic Process Automation (RPA) Software Articles
History of Robotics and Robots: From 1900 till Now
Automation and Collaboration in Focus at Salesforce’s TrailblazerDX 2022
What You Wanted to Know About RPA But Were Afraid to Ask
Tech Companies Bridging the Gap Between AI and Automation
The Pros and Cons of Different Automation Types
G2 on Enterprise AI & Analytics: What is It Really & Why Does It Matter?
What Is Robotics? (+ How It Impacts Society)
Automating HR with Robotic Process as a Service
Robotic Process Automation: What It Is + 5 Industry Examples
Robotic Process Automation (RPA) Software Glossary Terms
Robotic process automation (RPA) makes creating, using, and managing software robots that mimic human interactions simple. Learn the benefits and types.
Explore our Technology Glossary
Browse through dozens of terms to better understand the products you purchase and use everyday.
Robotic Process Automation (RPA) Software Discussions
Most RPA evaluations focus on what a platform can automate once it's running. Fewer focus on how long it actually takes a team to get from zero to a live bot, and that gap is where a lot of Robotic Process Automation projects quietly stall for months.
The three that reviewers most often describe getting up and running quickly are UiPath, Microsoft Power Automate, and ElectroNeek.
- UiPath Agentic Automation: Reviewers already inside the broader UiPath ecosystem describe a relatively smooth learning curve for extending existing automations into agent-based workflows, with one specifically noting they can build and launch multiple agents very quickly in a no-code format.
- Automation Anywhere Agentic Process Automation: Reviewers describe the setup as fairly straightforward once familiar with the platform, though several note advanced features and debugging complex workflows take real time to learn, worth planning for in a rollout timeline.
- Microsoft Power Automate: For teams already running Outlook, Teams, and SharePoint, reviewers describe workflow creation feeling natural because of that existing familiarity, with Copilot generating draft flows from plain descriptions to shortcut the initial build.
- ElectroNeek: RPA and AI Platform: One reviewer specifically described building their first working bot with an internal IT team within days using the free community edition, though another reviewer had a sharply different experience with the paid tier, describing the required training as bloated and the setup as slower than expected. Worth testing the free tier yourself before committing.
For anyone who deployed one of these in under 30 days: was speed mostly a platform advantage, or did having an existing internal automation champion matter more?
The most expensive RPA mistake is probably not choosing the wrong bot platform. It is automating a process that should have been fixed, simplified, or left alone. Before choosing an RPA consultant, I would ask them to show exactly how they handle four things:
- process discovery before automation design
- volume and effort baselining
- exception-rate analysis
- a value case that includes maintenance, not just hours saved
G2's RPA consultancy category currently highlights Accenture, Backoffice Pro, and Tata Consultancy Services among the providers on its Grid. Accenture's broader strategy and operations practice makes it particularly relevant when automation selection needs to happen before implementation rather than after a list of candidate processes has already been handed over.
Tata Consultancy Services also has evidence from reviewers on using automation to address scalability, digital transformation, cost optimization, and manual effort, rather than simply deploying bots for their own sake.
For teams that have completed RPA discovery, how many processes from the original automation wish list actually survived a proper analysis?
RPA consultancy reviews on G2 say less about which bots get deployed and more about how disciplined the process discovery was before anything got automated. The framing in this post, that the expensive mistake is automating a process that should have been fixed first, is exactly the risk a consulting engagement is supposed to catch, so the real evaluation question is whether a firm's discovery phase has ever talked a client out of automating something, not just how well they build bots afterward. Accenture's broader strategy and operations practice, fitting earlier in the process, before a candidate list exists, is a meaningfully different service than being handed a list and asked to execute it, and conflating the two is a common way these engagements underdeliver.
Tata Consultancy Services' reviewer evidence describing digital transformation and cost optimization broadly is a useful context, but doesn't specifically confirm the four things this post asks a consultant to demonstrate: process discovery, volume baselining, exception-rate analysis, and a maintenance-inclusive value case. The post's closing question is the sharper diagnostic here, since a consultancy that lets most of the original wish list survive contact with a real analysis probably wasn't doing much analysis in the first place.
Insurance and healthcare are two of the toughest verticals to automate with RPA, since both run on legacy core systems, manual exception handling, and compliance requirements that a generic rollout doesn't account for. We've been mapping which robotic process automation consultancies specialize in insurance and healthcare process automation for organizations evaluating solutions, rather than directly comparing RPA software. These names dominate this list:
- Accenture: Reviewers in the RPA Consultancy Services category cite large-scale claims processing and underwriting automation across insurers.
- Cognizant: Strong healthcare-industry presence, with claims adjudication and revenue-cycle automation as common entry points.
- Deloitte Consulting: Reviewers describe combining process mining with bot deployment for insurance clients, positioning automation inside a broader operating-model project.
- Wipro: Reviewers in financial services and insurance mention policy administration and claims automation, often bundled into a larger IT services contract.
- KPMG: Comes up for compliance-heavy automation, audit trail, and regulatory reporting tasks that insurers and healthcare payers need documented alongside the bots.
Has anyone worked with a consultancy that specializes exclusively in insurance or healthcare automation, rather than a generalist firm that treats it as one line item among many?
Cognizant's healthcare-specific presence with claims adjudication and revenue-cycle automation as entry points makes sense as a starting point for a payer that doesn't want automation treated as an afterthought.