Most Helpful Review
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Pricing and Cost Advice
We have established a CoE and we take our bot opportunities based on their ROIs. The best ROI opportunity goes to development first. Our ROI opportunities are compliance, profitable growth, productivity enhancements, productivity gains, number of hours the productivity saved, and resources not available that the work can be done by the bot. However, the single most important criteria that we use to measure ROI is how much time does the bot cut down from an analyst's work, as this has the best ROI. E.g., if an analyst is spending a 100 hours of work that a bot can do in one hour, we calculate the 99 hours saved as ROI.
The pricing strategy for us is one license for development. It is more complicated than that depending on the options you choose.
Our costs are approximately between $5,000 to $10,000 per license.
One of the key features that we chose, the bot as a service or the BotFarm, when they launched version 11.3, they decided not to have the BotFarm anymore. This put us in a situation because we expected to have bots on demand, just like our cloud software. This would have been cost efficient for us to use. We hope to see this again being realized with A2019. I hope the scalability from an on demand basis improves.
They have a ridiculously expensive bot licensing structure, especially for the Asian region.
In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their pricing.
While calculating the setup cost you should account for the server, virtual machines, product licenses, maintenance costs, and running costs.
Talk to your manager and try to procure an automation license for training. This will allow you to train people, so you can move to automation.
Can't beat the price... There are different pricing levels for every bot or unattended bot. You can buy however many you want. You'll need an additional virtual machine for it to work on.
They license per robot and we have 25 robots. You get so many robot licenses and can allocate those licenses to either attended, unintended, or Process Discovery bots. If you have 25 licenses, for example, you could have 20 automation bots and five process discovery. This allocation is flexible. There are also maintenance costs.
We are probably saving $6000 to $8000 a month in labor costs. It's not a ton, but we're right around $60,000 to $80,000 a year with our current deployment.
We've more than broken even over on the license. Year to date, we are at $120,000 in savings.
Licensing costs are about $100,000 a year without any additional costs.
We have been able to alleviate two FTEs, which was a big savings for us. We were able to reuse those resources in other locations. It is over 5000 hours a year in total savings.
In addition to the standard licensing costs, there are manpower costs.
For an unattended robot it's $6000 a month.
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Also Known As
|Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise||The Leo Platform||NTT WinActor, WinActor, NTT-AT Robotic Process Automation Software, NTT-AT RPA|
|Automation Anywhere||Kryon Systems||NTT DATA|
Automation Anywhere is the world’s largest provider of robotics process automation (RPA) software and the pioneer of the intelligent digital workforce. Over 1600 of the world’s leading enterprises deploy 1,000,000+ bots on the Automation Anywhere platform to automate their business processes in banking, finance, insurance, technology, telco, logistics and other sectors. Automation Anywhere has a global reach with 1600 employees and 500+ global partners that deliver products and services in over 90 countries.
The Kryon RPA Platform sets the standard for secure, scalable and cost efficient robotic process automation management and optimization. It’s also among the most business-user friendly platforms on the market.
NTT-AT RPA accurately reproduces workflows - from simple form processing to sophisticated tasks - to streamline work.
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|Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics||HPE||Exeo Tech Corporation|
Financial Services Firm29%
Software R&D Company10%
Software R&D Company23%
Financial Services Firm18%
Comms Service Provider8%
Financial Services Firm50%
Comms Service Provider7%
Software R&D Company24%
Comms Service Provider14%
Financial Services Firm11%
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