RPA is Dead
Francis Carden
Analysis.Tech | Analyst | CEO, Founder, Automation Den | Keynote Speaker | Thought Leader | LOWCODE | NOCODE | GenAi | Godfather of RPA | Inventor of Neuronomous| UX Guru | Investor | Podcaster
Well there you have it. Phil Fersht from HFS research, one of the pioneers of research into RPA (7+ years ago) has finally come out and called it.
Supported perhaps also by the recent surveys from HFS and also from Deloitte, where only 4% of enterprises have reached scale in 2018 (up from 3% in 2017) and as only measured by 50 bots or more anyway, and worse, most are on the < 10 bot range. Whilst there are those who have been successful with RPA, it's all relative. I've seen significant success and scale with Pega Robotics RDA (RPA attended) as well as traditional RPA (unattended) but as I've written many times, I always knew, from when I started this back in 2005, it needed to be part of something much bigger. DPA, IAP, IA, Digital Operations, OneOffice or whatever it's called is the way forward. RPA band-aids are a tax on legacy (Gartner phrase I believe) and now it's been called out (as stand-alone) for the hype it is. I still say you can use RPA on it's own but by building your Robots on an Integrated Automated platform, you are not only setting yourself up for success but more importantly, putting yourself on a path to also end the need for the robots in the future. Not a bad goal given bots are wrapping all the old, still expensive to keep the lights on stuff!
Notice how in the last 5 or so years, more and more money poured into RPA vendors so they could simply "buy" numbers of customers but without a path or care on how to get them to real scale. The RPA vendors constantly and publicly stated how "easy" RPA is but still couldn't deliver scale. They said it didn't need AI. Now they say it does. They said it didn't need IT. Now they say it does. They said it only needed business people to build, deploy and manage. We all really know it always needed a CoE, governance, oversight and large teams to manage. And each time, the scale issue arose, in time for a new acronym to be thrown into the RPA mix, the investors got sucked in as each RPA vendor added the acronym to RPA. RPA scrapes the UI and can be made to work in the right circumstances - and as my CEO says, "it can help accelerate the time to value to true Digital Transformation". Meaning it isn't transformational on its own. Now the world is finally waking up to these facts. Go Phil.
To keep this brief (unlike me I know) and if you haven't read my posts over the last 12 months on this same subject and more, here are my quick links to recent posts that I think sum it all up nicely.
Also, I recently started a series on "what next after RPA" which I think more closely aligns with what Phil is saying (Phil?) but I'm waiting to see if it aligns with what he's calling "Integrated Automation" versus what Forrester calls Digital Process Automation (DPA). To be honest, I'm not sure we need another category to describe it so I will talk to Phil on what's behind his thinking. Is it different? Anyway, check it all out here;
Is RPA Dead? - Myself
What next after RPA part 1 in Feb 2019 and What next after RPA part 2 in March 2019 - Myself
The Big RPA Bubble in Forbes - Alan Trefler, Pegasystems
Digital Process Automation (Forrester) which interestingly, does not include a single RPA vendor where RPA is built in (except Pegasystems) but many RPA vendors are scrambling to be 3rd party integrators with the other vendors in it! Thanks for the kudos! Read the full wave here. Forrester.
And not forgetting HFS and Phils post that started this thread ; HFS - RPA is Dead - long live Integrated Automation Platforms
Here's the Deloitte report that makes interesting reading on scale!
And no, none of us are really saying RPA is dead. What we are saying is, it is is dead if all you try to do is RPA (or any one of the other singular acronyms being thrown in with RPA). Whether you are successful or not, few get to scale with RPA (and even AI) alone. Often though, after looking at how bad their processes are, RPA helps bring IT and Business together to actually solve the problem properly and they may end up, not needing any RPA at all!
Senior Manager RPA Technical Architect Automation Anywhere Certified Advance RPA Professional
5 年RPA never dead how you implement actually matters and which products you choose for Automation Anywhere . If you choose product such as Automation you will get everything you required Task bot ,Metabot for scalability , I Q bots for unstructured data and excellent control manages from desktop ,server & mobile and excellent support team as and excellent community to support and community edition for trial Thanks Abhishek
IT Service Owner I IT Expert | Conversational AI | Machine Learning | Enterprise Automation
5 年"Integrated Automation is not about RPA or AI or Analytics. It is RPA and AI and Analytics" - this is not enough. ML will not improve scalability. Time to make a step back, apologize BPMS / Rule Engines and lean/6sigma methods. 1. Process mining and users activites mining 2. BPMS / Rule Engines supported by ML where possible 3. RPA integrated with point 2 and supported by Cognitive Services 4. Chat bots trigering both above points Assuming that most of the work is done on Windows, Office 365 Analytics will be helpful.
Future Finance Programme - Actuarial
5 年Interesting Francis, thanks for sharing. For scale to work I guess it needs to exist but one of the biggest challenges is that the whole area is a minefield both in terms of vendors (and understanding exactly what they are offering) and finding the right use cases from the business to assess the RPAs.? ?Even if you get that far there are a whole load of challenges around the evaluation of the various components and pricing. Not something to even look at unless there is a large nut to crack and an even bigger budget.? And when you then look at global spend on RPA including forecast spend, it really begs the question around other paths to automation.....
RPA Untangelist at SmartRPA
5 年The main argument for RPA is failing, is that it's not scaling. I tried to look definition of scaling up, it's a very weak definition for business scaling.(fish scaling was definently not the correct scaling) You can't say some company's are scaling or not without a definition. What is the criteria for scaling used in these reports? (how do you measure scale)
Analysis.Tech | Analyst | CEO, Founder, Automation Den | Keynote Speaker | Thought Leader | LOWCODE | NOCODE | GenAi | Godfather of RPA | Inventor of Neuronomous| UX Guru | Investor | Podcaster
5 年Great comments guys. Keep it coming.?