We help enterprises identify processes where RPA can deliver meaningful operational value and establish a practical automation strategy. Our approach examines process complexity, transaction volumes, system dependencies, business rules, and expected outcomes, helping organizations prioritize suitable opportunities and define a clear direction for RPA adoption across their operating environment.
We design RPA architectures that define how bots, applications, workflows, data, integrations, security controls, and exception handling should work together. Our architecture decisions consider existing technology environments, automation requirements, scalability, reliability, and operational governance, creating a structured foundation for developing and deploying RPA solutions across enterprise processes.
We develop software bots that execute repetitive, rule-based activities across enterprise applications and business processes. Bots can perform tasks such as data handling, validation, system updates, information retrieval, and transaction processing according to defined rules, helping enterprises improve processing consistency while reducing the manual effort required for high-volume operational activities.
We incorporate governance and security considerations into RPA environments to help enterprises control how bots access systems, handle information, and execute processes. Our approach covers permissions, credentials, access controls, auditability, execution policies, and operational oversight, helping organizations establish secure and controlled automation practices across business functions.
We integrate RPA bots with enterprise applications, legacy systems, desktop software, databases, APIs, and web-based platforms involved in automated processes. This allows information and actions to move across otherwise disconnected environments, helping enterprises automate end-to-end workflows while continuing to work with existing applications and technology investments.
We test RPA solutions across functional scenarios, process variations, application conditions, data inputs, exceptions, and expected transaction volumes. Our validation approach examines whether bots execute processes correctly and consistently under realistic conditions, helping identify failures, performance issues, and process gaps before automation is introduced into production environments.
We implement and deploy RPA solutions within the target enterprise environment, configuring bots, execution schedules, credentials, dependencies, and operational requirements. Our approach considers the transition from development to production carefully, helping organizations introduce automation with appropriate controls while minimizing disruption to existing business processes and daily operations.
We modernize existing RPA implementations that have become difficult to maintain, scale, or adapt to changing applications and processes. Our work can address outdated bot logic, fragile workflows, integration dependencies, and architectural limitations, helping enterprises improve automation reliability and establish a stronger foundation for sustainable, scalable, and future-ready RPA expansion.
We evaluate RPA solutions to identify bottlenecks, inefficient process steps, unnecessary system interactions, and resource constraints that affect execution. Our optimization efforts focus on improving processing speed, reliability, resource utilization, and overall bot performance, helping enterprises achieve greater efficiency from their existing automation investments as transaction volumes increase.
We support deployed RPA solutions as applications, processes, business rules, and operating environments change over time. Our services include resolving bot failures, adapting automations to application updates, addressing process exceptions, and making required improvements, helping enterprises maintain dependable automation and minimize interruptions to critical business operations.
We build RPA solutions that automate invoice capture, validation, matching, exception handling, and system updates across accounts payable workflows. Our expertise spans document processing, business rules, application interactions, and enterprise integrations, helping enterprises handle varied invoice formats while connecting processes with existing financial systems.
We build RPA workflows that collect and compare records across financial and operational systems, identify discrepancies, and route exceptions for review. Our expertise covers data extraction, validation logic, system integration, and workflow coordination, enabling recurring reconciliation activities to operate consistently across complex enterprise environments.
We build RPA workflows that capture orders, validate information, update business applications, and coordinate processing across order-to-cash activities. Our expertise covers application integration, data handling, and exception management, helping enterprises automate transactions that move across multiple systems while accommodating defined process variations.
We build RPA workflows that coordinate employee information, document collection, system updates, account requests, and other onboarding activities across HR environments. Our expertise connects applications and workflows while applying defined rules and validations, helping enterprises establish consistent onboarding processes without repetitive administrative work.
We build RPA workflows that capture claim information, validate records, perform defined checks, update applications, and route exceptions for review. Our expertise spans document processing, data validation, business rules, and system integration, helping enterprises handle repetitive claims activities consistently across insurance and healthcare environments.
We build RPA workflows that extract, validate, transform, and transfer information between applications during migrations, upgrades, and system consolidation initiatives. Our expertise covers structured data handling, application interaction, validation rules, and exception management, helping enterprises move information accurately while reducing repetitive manual work.
Loan Processing Automation, KYC & Compliance Checks, Reconciliation Bots, Fraud Alert Routing, Regulatory Reporting Automation
Admission Data Entry Automation, Fee Reconciliation Bots, Student Record Updates, Transcript Processing, Compliance Reporting Automation
Patient Records Data Entry, Claims Adjudication Bots, Appointment Scheduling Automation, Insurance Eligibility Verification, Billing Reconciliation
Order-to-Invoice Automation, Inventory Reconciliation Bots, Vendor Data Entry, Returns Processing Automation, Price Update Synchronization
Shipment Data Entry Automation, Freight Invoice Matching, Customs Documentation Bots, Delivery Status Updates, Carrier Reconciliation
Booking Confirmation Automation, Itinerary Data Entry, Refund Processing Bots, Vendor Invoice Reconciliation, Customer Record Updates
Parts Inventory Reconciliation, Warranty Claims Processing, Dealer Invoice Matching, Service Record Data Entry, Supply Chain Order Automation
Lease Document Processing, Tenant Onboarding Automation, Rent Reconciliation Bots, Property Listing Updates, Compliance Record Management
Royalty Payment Reconciliation, Content Licensing Data Entry, Rights Management Automation, Vendor Billing Bots, Subscription Record Updates
Purchase Order Processing, Inventory Data Reconciliation, Quality Report Compilation, Supplier Invoice Matching, Production Data Entry
Policy Issuance Automation, Claims Intake & Validation, Underwriting Data Aggregation, Renewal Processing Bots, Fraud Flag Routing
At Xicom, we assess your existing processes and build RPA solutions aligned with your operational requirements and business objectives, reducing manual effort and improving consistency across teams.
AI Engineers & Data Scientists
AI Solutions Delivered
AI Models in Production
Industries Served
Our expertise in screen and UI automation enables bots to interact with enterprise applications through clicks, keystrokes, navigation, and interface controls. We design these interactions around application behavior, screen variations, and process requirements, helping automate tasks even when direct system-level access or APIs are unavailable.
We use OCR technologies to help RPA solutions extract machine-readable information from scanned documents, forms, invoices, images, and other text-based sources. Our approach considers document quality, layouts, formatting, and recognition requirements, enabling extracted information to move into validation, processing, and downstream enterprise workflows.
Our computer vision expertise enables RPA solutions to interpret visual elements that may not be reliably accessible through conventional interface automation. We apply visual recognition to identify controls, screen elements, layouts, and interface changes, helping bots interact with applications where fixed coordinates or structured controls are insufficient.
We apply NLP technologies when RPA processes need to interpret information contained in emails, forms, messages, and free-text fields. Our solutions can classify, extract, and interpret relevant textual information before passing it into automated workflows, enabling bots to handle processes involving less-structured business communication and content.
Our workflow orchestration expertise helps coordinate automated tasks across bots, apps, systems, and process stages. We design execution logic around dependencies, sequencing, triggers, conditions, and handoffs, helping enterprises manage complex processes where multiple automated activities must work together reliably rather than operate as isolated bot tasks.
We incorporate business rules technologies into RPA solutions where automated processes depend on defined decisions, validations, classifications, and conditions. This allows decision logic to remain structured and manageable while bots execute the resulting actions, helping enterprises apply consistent rules across recurring transactions and changing operational scenarios.
We use process mining technologies to analyze system events and transaction data and understand how business processes actually operate. Our expertise helps identify repetitive activities, bottlenecks, process variations, and automation opportunities, providing a data-driven foundation for determining where RPA can deliver meaningful operational improvements.
We use APIs and web services to connect RPA solutions directly with enterprise applications and external systems where programmatic access is available. This can reduce reliance on interface-based interactions, enabling more efficient data exchange and helping us design automation architectures that combine direct integrations with UI-based bot interactions.
Our ML expertise extends RPA beyond predefined rules where processes involve patterns, classifications, or variable inputs. We can incorporate suitable learning approaches to classify information, recognize recurring patterns, and support decisions within automated workflows, helping bots handle variations without requiring every scenario to be explicitly scripted.
We integrate database and data management technologies into RPA solutions that need to retrieve, validate, update, or store structured information during process execution. Our expertise covers connecting automated workflows with relevant data sources and maintaining reliable information flows between bots, apps, and underlying data environments.
Many enterprise processes span multiple applications that were never designed to work together seamlessly. RPA can operate across these environments, moving information and completing defined actions between systems. This allows organizations to improve process continuity without immediately replacing applications that remain important to everyday operations.
Processes often slow down when information moves between employees, teams, applications, or approval stages. RPA can handle defined handoffs automatically, moving information and triggering subsequent steps according to established rules. This helps reduce waiting periods and keeps processes moving without requiring employees to coordinate every routine transition.
Increasing transaction volumes often creates additional administrative work even when the underlying process remains unchanged. RPA allows defined activities to be performed through software bots, giving enterprises additional processing capacity without requiring manual teams to grow at the same rate as operational demand while maintaining consistent execution quality.
Repetitive processes can produce different results when performed manually across employees, teams, shifts, or locations. RPA executes defined steps according to established rules, helping enterprises maintain greater consistency in activities such as validation, data handling, reconciliation, reporting, and system updates across recurring operational workloads.
Some important business processes continue to depend on legacy applications that are expensive or impractical to replace immediately. RPA provides an additional layer for interacting with these systems, helping enterprises change how processes operate around existing applications without requiring every underlying system to be modernized first.
Automated processes can provide clearer visibility into how defined tasks are executed, including transaction activity, processing outcomes, failures, and exceptions. This creates useful operational information for teams responsible for managing processes, investigating issues, and identifying opportunities to improve how work is performed across the enterprise.
We don't force business processes into predefined automation patterns. We study how your teams actually work, including process variations, dependencies, exceptions, and system interactions, and then shape the RPA solution around those realities. This helps ensure automation supports the way your business operates rather than creating additional complexity for users.
Replacing established apps is rarely the first choice when those systems continue to support important operations. We work within your technology landscape, designing RPA solutions that complement current applications and processes. This helps enterprises modernize repetitive operations while continuing to derive value from investments already in place.
We look beyond the number of bots deployed to understand what automation changes for the business. Processing time, manual effort, error rates, and throughput can influence success. This outcome-focused approach helps enterprises prioritize RPA initiatives that have meaningful potential rather than automating processes simply because they can be automated.
Enterprise processes rarely operate exactly as they appear in documentation. Applications change, exceptions occur, and processes follow different paths. We account for these realities when developing RPA solutions, helping create automation that can handle conditions encountered during everyday operations rather than working only under ideal circumstances.
RPA initiatives often begin with a small number of processes before expanding across departments. We consider this evolution from the outset, helping enterprises establish approaches that can accommodate additional processes and automation workloads without creating unnecessary technical complexity or requiring fundamental redesign at every stage.
Our involvement does not end when bots enter production. We work with enterprises as their automation environment evolves, helping address changing processes, new requirements, and opportunities for improvement. This creates an ongoing development relationship that supports long-term value rather than treating each automation as a standalone implementation.
We understand your processes, systems, transaction volumes, business rules, exceptions, and objectives to identify requirements and automation opportunities.
We design the automation architecture, defining bots, integrations, workflows, data flows, security controls, dependencies, and execution requirements.
We develop and configure bots, integrations, workflows, business rules, and supporting components according to approved process and architecture requirements.
We validate automated processes across normal scenarios, exceptions, application variations, data conditions, performance requirements, and expected operational outcomes.
We deploy validated automations into the target environment, configure production requirements, monitor execution, address issues, and support ongoing optimization.
Fixed Price Model
Best for well-defined automation projects, this model ensures clear scope, budget predictability, and timely delivery without surprises.
Most Popular
Dedicated Teams Model
Ideal for businesses seeking long-term RPA expansion, this model provides a dedicated team of RPA developers working exclusively on your processes.
Time & Material Model
Perfect for automation projects with dynamic requirements, this model offers agility, cost control, and adaptability as processes evolve.
RPA development is the process of building software bots that automate repetitive, rule-based tasks across business applications and systems. It includes bot design, workflow configuration, system integration, testing, and deployment to handle activities like data entry, validation, and transaction processing without manual intervention.
RPA automates structured, rule-based tasks by following predefined steps across applications. AI agents handle less-structured work that requires reasoning, decision-making, or natural language understanding. Many enterprises combine both, using RPA for repetitive execution and AI agents for tasks that need judgment.
Processes that are repetitive, high-volume, rule-based, and span multiple applications are the best fit for RPA. Common examples include invoice processing, data reconciliation, order processing, employee onboarding, claims processing, and data migration between systems.
RPA development typically combines screen and UI automation, OCR for document data extraction, APIs for system integration, workflow orchestration for coordinating tasks, and business rules engines for decision logic. Computer vision and NLP are added when processes involve visual elements or unstructured text.
Timelines depend on process complexity, number of systems involved, and exception handling requirements. A single well-defined process can move from discovery to deployment faster than a multi-department rollout involving several applications and custom integrations. Scope is usually defined during the discovery phase.
Yes. RPA bots can interact with legacy applications through screen and UI automation, replicating the clicks, keystrokes, and navigation a human user would perform. This allows automation without requiring the underlying legacy system to be replaced or modernized first.
RPA security involves controlling bot access through defined permissions, credential management, execution policies, and audit trails. Enterprises typically restrict what systems and data each bot can access and maintain logs of bot activity for compliance and oversight.
Deployed bots need ongoing support as applications, business rules, and processes change over time. This includes monitoring bot performance, resolving failures, adapting automations to application updates, and handling new exceptions that come up during production use.
RPA is built to handle repetitive, rule-based tasks so employees can focus on work that requires judgment, communication, or exception handling. It's designed to work alongside existing applications and teams rather than replace the systems already in place.
The best starting point is identifying processes with high transaction volumes, repetitive steps, and clear business rules. An RPA consulting and discovery phase can assess process complexity, system dependencies, and expected outcomes to determine where automation delivers the most value.