Blueprint Software Systems
![Blueprint Software Systems Logo Blueprint Software Systems Logo](/files/vendor/blueprint-software-systems_6.jpg)
Overview
HQ Location
Canada
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Year Founded
2004
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Company Type
Private
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Revenue
$10-100m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
Blueprint Software Systems helps organizations understand, migrate, and improve their automated processes to reduce operating costs and increase the value of their digital workers. Blueprint's platform can ingest entire automation portfolios and then deliver invaluable insight and analytics, allowing you to significantly improve your processes while lowering costs. Blueprint's automation migration capabilities can also save your organization thousands of hours migrating from a legacy RPA platform to a modern RPA tool.
IoT Snapshot
Blueprint Software Systems is a provider of Industrial IoT platform as a service (paas), and analytics and modeling technologies, and also active in the electrical grids, and telecommunications industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Blueprint Software Systems’s Technology Stack maps Blueprint Software Systems’s participation in the platform as a service (paas), and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Global Telecom Provider Saves $5 Million through Process Analysis & Modernization with Blueprint
The enterprise client, a leading global telecommunications provider, was facing a significant challenge in their process improvement and automation initiatives. In 2021, they decided to switch from their current RPA tool, Automation Anywhere, to Microsoft's Power Automate solution, aiming to produce better quality bots at a lower cost. However, this transition presented a daunting task of manually re-coding 15,000 bots or outsourcing the re-platforming, which was proving to be time-consuming, costly, and prone to errors. Furthermore, the lack of data and understanding of their current process estate made it difficult for them to make informed decisions about the value of any automated process and whether it was worth the time, effort, and money to re-platform. They were facing years in process platform limbo, poor quality processes, and the potential of an 8-figure bill to recreate their existing processes.