Blue Prism vs Microsoft Power Automate
Detailed side-by-side comparison to help you choose the right tool
Blue Prism
Business AI Solutions
Agentic automation company specializing in AI-powered robotic process automation (RPA) and business process management solutions.
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CustomMicrosoft Power Automate
Automation & Workflows
A cloud-based process automation platform that enables users to create automated workflows between applications and services to streamline business processes.
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CustomFeature Comparison
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Blue Prism - Pros & Cons
Pros
- ✓Mature, battle-tested RPA engine with a strong track record in highly regulated industries such as banking, insurance, and government, where auditability and compliance matter more than speed of prototyping
- ✓Centralized Control Room architecture provides enterprise-grade governance: role-based access, encrypted credential vault, full audit logs, and clear separation between design, runtime, and orchestration
- ✓Genuine no-code Process Studio means business analysts and operations staff can build and maintain automations without writing code, while still producing reusable, version-controlled objects
- ✓Flexible deployment options including SS&C-managed cloud, customer-managed cloud, and full on-premises installs — important for customers with data residency or air-gapped requirements
- ✓Strong agentic and AI capabilities in the 2025–2026 generation, including Blue Prism Chat, Copilot, Decipher IDP, and Process Intelligence, layered on top of the existing RPA foundation
- ✓Backing of SS&C Technologies provides financial stability, deep financial-services domain expertise, and integration with SS&C's broader fintech and healthcare product portfolio
Cons
- ✗Pricing is enterprise-only with custom quotes and no free or community edition, which makes it impractical for small teams, individual developers, or proof-of-concept work without a sales engagement
- ✗Steeper learning curve than UiPath or Power Automate — building production-grade Blue Prism processes typically requires formal training and a Center of Excellence model rather than ad-hoc citizen development
- ✗Smaller developer community and marketplace of pre-built connectors and components compared to UiPath, so more integrations have to be built in-house
- ✗Historically heavier, server-based architecture means initial setup and infrastructure planning are more involved than cloud-native competitors, even with the newer SS&C-managed cloud offering
- ✗Branding and product naming have shifted repeatedly since the SS&C acquisition (Blue Prism, SS&C Blue Prism, Chorus, Next Generation), which can make documentation, licensing, and roadmap conversations confusing for buyers
Microsoft Power Automate - Pros & Cons
Pros
- ✓Tight, native integration with Microsoft 365, Dynamics 365, SharePoint, Teams, and Azure makes it the default choice inside Microsoft-standardized enterprises
- ✓Combines cloud automation, attended and unattended RPA, AI Builder, and process mining in a single licensed platform instead of forcing separate vendors
- ✓Generative AI via Copilot in Power Automate has delivered up to 60% time savings and 50% cost savings in published customer stories such as Nsure
- ✓Proven at scale with enterprise references — Uber reports 3,400 hours and $30M saved annually, CoreLogic reports 50,000 hours saved and a 5x cost reduction
- ✓Premium plan at $15.00/user/month (annual) is competitive against standalone iPaaS and RPA vendors that frequently charge $20–$50+ per user
- ✓Large Microsoft partner ecosystem and mature governance tooling (Dataverse, DLP policies, environments) suit regulated industries
Cons
- ✗Licensing is notoriously complex — Premium user licenses, per-bot Process licenses at $150.00/bot/month, AI Builder credits, and premium connector fees can stack up quickly
- ✗Unattended RPA (Power Automate Process) starts at $150.00 per bot per month, making large RPA fleets expensive compared to open-source alternatives
- ✗Strongest value is realized only inside the Microsoft ecosystem; teams on Google Workspace or AWS-first stacks get less out of the native integrations
- ✗Learning curve for desktop flows, Dataverse, and environment/ALM governance is steep for non-IT business users despite the low-code marketing
- ✗Some premium connectors and AI Builder features require add-on capacity purchases beyond the base per-user license
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