RPA consulting: independent selection of automation and AI software
Process automation and artificial intelligence only create value when they answer a real business need. Our role is to identify the processes where they can have the most impact and the tools that best fit each organization.
What does an independent RPA consultant do?
It helps you decide whether a process needs RPA, artificial intelligence, an AI agent, or a redesign first, and choose the platform against criteria defined before any demo. At Cyrrus we do it with no vendor commissions.
Process assessment
Volume, how structured it is, which exceptions come up, and what data it touches. That decides whether RPA, AI, or a direct integration fits.
Evaluation criteria
Integration with your systems, security and data handling, three-year total cost, operation by your own team, and measurement against the process it replaces.
Scope
Selection and contracting support. Implementation is coordinated with the PMO, and custom builds with our AI Agents practice.
Process Automation and AI
01Artificial Intelligence
From intelligent assistants to advanced analytics models, we identify opportunities where technology can boost productivity, improve decision-making, and accelerate value creation.
02Process automation and RPA
We select process automation and RPA (robotic process automation) platforms that simplify processes, eliminate repetitive tasks, and free people up for strategic work.
03AI agents
We evaluate agents that can complete multi-step tasks — querying systems, drafting, deciding within defined rules — and compare them with simpler alternatives when a fixed rule or an RPA bot is enough.
04Blockchain
We evaluate solutions for organizations that need higher levels of traceability, trust, and secure information exchange.
RPA, artificial intelligence, and AI agents don't compete with each other: they solve different problems. RPA (robotic process automation) replicates repetitive, rule-based tasks on top of existing systems, such as copying data between applications. Artificial intelligence interprets unstructured information — text, documents, images — and makes predictions. An AI agent combines both capabilities to complete a multi-step task with some degree of autonomy.
Choosing wrong can be expensive. An AI agent where a rule would do adds cost and risk; an RPA bot on a process that changes every month needs constant adjustments (IBM notes that RPA can be hard to scale when rules or operations change). That's why selection starts with the process, not the tool: its volume, how structured it is, which exceptions come up, and what data it touches.
To compare automation platforms we look at five criteria: integration with current systems (ERP, CRM, email, APIs), security and data handling, three-year total cost (licenses, infrastructure, and maintenance), how easily your own team can run it without depending on the vendor, and the ability to measure results against the process it replaces.
Common mistakes when choosing automation technology include starting with the trendy tool, automating a process that isn't well defined yet, ignoring maintenance cost, and not deciding who will own the automation once it's in production. In our view, automating a confusing process only makes the mess happen faster.
Our support covers mapping and prioritizing candidate processes, defining and weighting the evaluation criteria, comparing vendors against real cases from your operation, and supporting negotiation and contracting. Implementation is coordinated with Project Management (PMO) and, when the right solution doesn't exist on the market, custom builds are handled by our AI Agents practice. At Cyrrus we do this selection independently, with no vendor commissions.
This selection is part of the Identify phase within the full CIRA Method
“We don't just help our clients choose technology solutions — we help them make decisions that strengthen and transform their organization.”
What comes after you choose
To decide with information
Frequently asked questions
When it wants to automate repetitive tasks or use AI and has proposals from several vendors, but doesn't know whether the process needs RPA, AI, an agent, or a redesign first. Also when it has already chosen a platform and wants to validate the decision against objective criteria before contracting.
RPA (robotic process automation) is software that reproduces repetitive tasks a person does on a computer, following defined steps on the applications the company already uses. IBM sums it up as process-driven, versus AI, which is data-driven. It makes sense when the task is repetitive, follows rules that can be written down, and runs on stable systems. If the process changes often or depends on interpreting text or documents, an artificial intelligence solution may be a better fit.
RPA follows fixed rules; artificial intelligence interprets unstructured information and finds patterns; an AI agent combines both to complete a multi-step task with some autonomy. They aren't mutually exclusive: for example, AI can interpret a document and RPA can load the result into the system. Our selection starts from the process, not from the trendy technology.
We start from the same assessment of industry, size, and technology maturity we use for every solution selection. We don't recommend a trendy technology if it doesn't answer a real business need.
No. Our scope is selection: we evaluate, compare, and support the contracting. Implementation is coordinated with Project Management (PMO), and ongoing governance with AI Governance, when it applies.
We evaluate the decision against the same objective criteria, even if the process is already underway. Being 100% agnostic lets us validate a choice in progress without bias toward any vendor.
Have another question?
Ready to connect the decision to the execution?
Tell us your organization's challenge. We'll set up a conversation with the right team and tell you straight whether we can help.
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