Robotic Process Automation (RPA) Services
The Robotic Process Automation (RPA) market is valued at roughly $6B and is forecast to pass $35B by 2033 (Grand View Research), while Deloitte's global RPA survey found that 53% of businesses have already deployed it. RPA uses software robots to execute rule-based tasks like a person would: reading a form, entering data, moving a file, checking a record, etc. Because the robots work across multiple systems, businesses can automate processes that span diverse applications and departments with little to no human interaction.
VNEXT builds both attended automation, where a person stays in the loop, and unattended automation, which runs without supervision. Our RPA engineers map the process then identify what should be automated and what should not, and build and deploy accordingly.
RPA services across
the full automation lifecycle
RPA consulting
We assess your existing workflows to determine where agentic automation or traditional RPA applies. From there, our consultants build the automation strategy and stay with your team through development and rollout.
RPA proof of concept development
Our engineers build a working bot prototype and run it in a controlled environment to test feasibility, performance, and expected return. Prototypes that clear those checks move into production as full solutions.
Custom RPA development
We deliver automation from concept to production. Low-code platforms handle most cases and custom bots cover the rest. Each solution matches your business operation processes, clears reliability and compliance testing, and deploys with the necessary integrations.
Process automation migration
We audit the current platform, document its limitations, and select a replacement suited to your RPA or agentic automation requirements. Workflows are rebuilt and tested for parity before the switchover, which runs without interrupting operations.
System integration
We connect bots to the systems you already run, including ERP, CRM, and legacy applications, without changing the underlying software or interrupting live workflows. Data moves between systems and the automation layer stays consistent with what your teams already use.
RPA maintenance and support
Our team monitors performance, resolves issues, and tunes the bots against real usage data. As business rules change, we scale or rework the workflows accordingly.
Our RPA development process
Assessment
- We review your operations and identify which processes are worth automating. Not every repetitive task is a good fit, and this stage sorts out which ones are.
Strategy
- We map each process against a proposed solution to find the approach with the best return. Scope gets defined here, before any development spend.
Design
- Our specialists set the architecture: how the bots run, which systems they access, how the pieces connect.
Proof of concept
- We build a working prototype in your environment. Stakeholders see something real, and the approach is proven before full development starts.
Development
- With requirements agreed, our engineers build to specification in defined stages, so you can track progress at each step.
Testing and documentation
- We test the solution across normal and exception paths, then document everything and hand it to your team.
Maintenance and support
- We monitor performance against agreed SLAs, fix issues as they come up, and adjust the automation as your processes change.
RPA platforms we work with
UiPath
SAP Intelligent Robotic Process Automation (iRPA)
Power Automate
Automation Anywhere
Blue Prism
WinActor
What we automate across departments
Finance and accounting
- Process invoices and run reconciliations against source records
- Post routine journal entries and update the general ledger
- Collect and validate timesheet data, then calculate salaries, taxes, and payslips
- Generate accounting reports on schedule
Human resources
- Screen resumes against role criteria and schedule interviews
- Match candidates with job description
- Calculate payroll, accounting for deductions, bonuses, and tax
- Process benefits enrollment and run eligibility checks
- Maintain and update employee records across systems
Operations
- Extract data and metadata from multiple sources and file formats
- Migrate, validate, and cleanse data into the target system
- Create reminders and trigger downstream actions based on document contents
Customer support
- Triage support tickets and route them to the right agent
- Answer standard queries across email, chat, and other channels
- Verify, update, and sync customer records
- Collect, categorize, and summarize customer feedback
IT
- Monitor servers, applications, and network status, and raise alerts on failures
- Provision, configure, and deploy software automatically
- Detect security threats, handle alerts, and escalate incidents with reports attached
- Resolve routine user requests such as account creation and password resets
See our automation solutions
CHECK ALL OUR CASE STUDIES
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ChatGPT integration for enterprise search accuracy
A client operating with large volumes of internal data faced persistent challenges in retrieving relevant information quickly and accurately. By integrating the OpenAI GPT API into their existing system, we significantly improved data search accuracy and enabled intelligent linking between related datasets, reducing manual lookup time and improving operational efficiency across departments.
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AI Agent for custom web applications built for the Japanese user experience
We developed Generate UI Chatbot, an AI agent that creates reference interfaces so non-technical stakeholders can visualize a business management system before the real app is built. Stakeholders describe what they need in natural language, and the agent proposes layouts and renders visual previews, keeping the design aligned with Japanese customers' workflows, habits, and expectations.
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AI-powered OCR for complex document recognition
To tackle a massive pile of handwritten documents, passports, invoices, and meter reading slips, we built and deployed an AI-powered OCR system for our client. Using our own image processing technology, the tool cleaned up messy, scanned forms and turned them into neat digital data with 95% to 99% accuracy.
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In-store visitor analysis through image recognition
We helped our retail client unlock deeper shopper insights by applying deep learning to their existing in-store security cameras. The system we built maps out visitor counts, traffic patterns, and demographics, letting them easily measure the impact of layout changes and improve the overall customer experience.
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Speech recognition across multiple business applications
When our client needed a versatile speech recognition system that went far beyond basic voice commands, we built a solution that handles automatic meeting minutes, real-time translation, and smooth robot interactions. By continually refining the models with real-world usage data, we ensured the system's accuracy keeps improving the more they use it.
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AI-driven hospital menu and inventory optimization
A hospital managing complex dietary requirements for a large patient population needed a smarter approach to meal planning and ingredient procurement. We implemented an AI system that automatically generates personalized menus aligned with individual dietary restrictions and optimizes ingredient order forms based on patient volumes, reducing waste, improving nutritional compliance, and streamlining kitchen operations.
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High-security face recognition built for enterprise-grade protection
We built a next-gen face recognition system with anti-spoofing technology, delivering over 80% verification accuracy even in low-light conditions and ensuring absolute security for enterprises. The solution enables hands-free attendance that automates check-in at building lobbies, alongside multi-site sync for centralized access data management across the entire system.
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OCR technology for digitizing water meter readings
We helped a client digitize their water meter reading process with specialized OCR technology, accurately reading digits on old and new meters even when partially obscured or shot from difficult angles. The solution enabled automatic readings via smartphone camera and direct export to ERP systems, eliminating manual data entry.
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Computer vision-powered person and clothing color detection
A client needed a smarter way to monitor activity across their facilities, so we built a computer vision system that identifies people in frame, classifies attire, and recognizes dominant colors such as shirts, pants, hats, and accessories. Beyond simple detection, the solution enables area monitoring, access control, and real-time behavior analysis, backed by time and area-based statistical reports.
Industry-specific RPA solutions
Why choose VNEXT for
robotic process automation consulting
FAQ
RPA follows rules you define, handling structured, high-volume tasks quickly and accurately. AI and machine learning learn from data, which suits them to judgment-based work like language processing or anomaly detection. For example, a bot enters invoices into your ERP while an AI model reads the unstructured ones first. Most projects we deliver now combine both.
Traditional automation connects systems at the code level, through APIs or database access, which legacy applications often do not support. RPA bots interact with applications through the user interface, the way a person does. Nothing underneath needs to change, making RPA faster to deploy and easier to adjust.
A proof of concept usually takes a few weeks. A production implementation across several processes typically runs a few months, covering design, development, testing, deployment, and training. Well-documented processes move fastest; those with many exceptions or unclear rules take longer, mostly because the process needs defining before it can be automated.
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