Robotic Process Automation (RPA)
Reimagine Work with RPA
Robotic process automation takes the repetitive, rules-based work off your team’s plate so they can spend their day on the exceptions, the judgment calls, and the customers. It runs inside the systems you already have.
Free Your Team From Repetitive Tasks
Most organizations do not fail at RPA because the technology does not work. They fail because bots get built one at a time, by whoever asked loudest, on no shared foundation. We start by finding which processes are worth automating and what they are worth, build on one governed architecture, then keep improving what is running. 40+ years of process work and thousands of delivered use cases sit behind that.
What Is Robotic Process Automation (RPA)?
Robotic Process Automation (RPA) takes on repetitive tasks by deploying digital workers that mimic human actions. These software bots work across your applications, clicking, typing, and moving data between systems, following the same steps the same way every time. RPA frees teams from repetitive work while reducing cost and error.
RPA follows rules. It is fast and exact, and it does not make judgments. That is where AI agents come in: agents read unstructured documents, weigh context, and decide what to do next inside the guardrails you set, while your people keep the decisions that carry consequences. Most real processes need both, with RPA on the deterministic steps and agents on the exceptions and the reading. Running them on one governed architecture is what turns a pilot into something that stays in production.
Agentic Automaton is the natural evolution of RPA.
“Since our inception, we have helped our customers revolutionize their businesses by emulating humans through robotic process automation. Now, we’re advancing enterprise automation with agents, allowing customers to automate entire end-to-end processes and orchestrate workflows seamlessly. The result is more substantial business outcomes, greater productivity, and more customer-facing direct benefits from automation.”
Daniel Dines, Founder & CEO
UiPath
Why Robotic Process Automation
Because No One Likes Doing the Same Thing Over and Over and Over
Your teams lose hours to repetitive tasks, and a lot of your critical processes are still manual and error-prone. RPA takes over the digital workflows that follow rules: extracting data, checking it against your systems, and moving work forward. Where the work needs judgment, an AI agent handles the reading and the routing and hands the decision to your team.
Do More With Less
RPA reduces error, speeds up cycle times, and runs the same steps the same way every time. Your team gets that time back for the exceptions, the escalations, and the customers.
Improve Accuracy & Compliance
Bots move data between systems without transposition errors or skipped steps, and they log every action, so your audit trail builds itself. Your reviewers see the exceptions instead of every record.
Scale Without Rebuilding
Start with one process, prove the value, then extend the same governed foundation to the next one instead of starting over.
Enhance Customer Experience
By automating routine tasks, you can respond to customer inquiries and issues more quickly and accurately, because the lookup and the update happen while the customer is still on the line.
Naviant has been working to add a significant amount of automation beyond out-of-the-box capabilities.
“Naviant is really pushing the boundaries of our software solution. Creating a highly-customized solution unique to their customer. One of our customers had needs beyond what we could provide, particularly deep in the code. Naviant has been working to add a significant amount of automation beyond out-of-the-box capabilities.”
Customer Success Director
Commercial Customer
How to Use It
Where RPA Applies Across Your Organization
RPA has wide-reaching applications across departments and industries. Automating the repetitive, rules-based steps inside your existing processes shortens cycle times, surfaces cleaner data for the people making decisions, and frees your team for work that needs their judgment.
Departments, Functions, and Industries
- Finance & Accounting
- Human Resources
- Legal & Compliance
- Industry Use Cases
- Contact Center
- Information Technology
- Legacy System Integration
Finance and Accounting
- Accounts Payable/Receivable
- Procure to Pay
- Order to Cash
- Expense Management
- Financial Reporting
- Tax Compliance
- Budgeting & Financing
Human Resources
- Recruitment & Onboarding
- Payroll Processing
- Benefit Administration
- Employee Data Management
- Performance Management
- Training & Development
- Compliance Reporting
- Offboarding
Legal & Compliance
- Contract management
- Regulatory filing management
- Policy documentation
- Legal case records
- Compliance audit reports
- E-discovery
- Due diligence
- Risk management
Industry Use Cases
- Commercial
- Government
- Healthcare Payer
- Healthcare Provider
- Insurance
Contact Center
- Customer Service Automation
- Self-Service
- Agent Support
- Refund Management
- Call Routing
- Sentiment Analysis
- Knowledge Management
- Feedback Collection
- Performance Metrics
Information Technology
- IT Asset management
- Incident reports
- Change management documentation
- Compliance and audit reports
- Service level agreements (SLAs)
- System logs analysis
Legacy System Integration
- Integrating with legacy platforms
- No migration from legacy system required
- Uses API integration where it is available
- Works through the interface when it is not, completing repeated tasks at machine speed
Deep Industry Expertise
Automate Repetitive Work, Whatever Your Industry
Our consultants have spent 40+ years on process work across government, healthcare, insurance, and commercial organizations, with 600+ customers and thousands of delivered use cases behind them. Intelligent automation is the foundation we built over those decades, and RPA is one of its most durable pieces. Today it runs alongside AI agents rather than alone. Our AI Optimization Team builds and improves it embedded in your team, measured by the value delivered rather than bots shipped.
Technologies
Combine Technologies for Tailored Solutions
We solve complex challenges by finding the right combination of tools. RPA rarely works alone. It runs alongside document processing, content management, orchestration, workflow, and data on one connected, governed foundation, with agentic AI on top. One foundation instead of a point solution per department is the difference between a bot that works and a bot that keeps working.
Featured Technologies:
Agentic Automation
AI agents that use your enterprise knowledge, data, and systems to take action across real business processes. Agents handle the reading, checking, and routing inside policy and guardrails you set, and your people keep the decisions.
Artificial Intelligence (AI)
AI lets systems learn from your data and identify patterns, so people can make faster, better-informed decisions with the evidence in front of them.
Enterprise Content Management (ECM)
Connect your content and data to the core processes and systems your organization runs on, so the systems that need a document can reach it.
Robotic Process Automation FAQs
What is robotic process automation?
Robotic process automation (RPA) uses software bots, sometimes called digital workers, to carry out repetitive rules-based tasks across your applications. Bots click, type, and move data between systems, following the same steps the same way every time. RPA is fast and exact, and it does not make judgments.
How is agentic AI different from RPA?
RPA follows rules. An AI agent works toward an outcome: reading unstructured documents, weighing context, and deciding what to do next inside the guardrails you set. Most real processes need both, with RPA on the deterministic steps and agents on the exceptions and the reading. Your people keep the decisions that carry consequences.
Is RPA still worth investing in?
For the right work, yes. Deterministic, high-volume tasks are handled more cheaply and predictably by a bot than by an agent, and RPA reaches legacy systems with no API by working through the interface. The mistake is treating RPA as the whole answer rather than one layer.
Why do RPA programs stall after the first few bots?
Usually because bots get built one at a time, by whoever asked loudest, with no shared foundation and no one owning them afterward. Bots break when the applications underneath them change. Sequencing the work and building on one governed architecture is what keeps them running.
Do bots replace employees?
No. They take on the repetitive rules-based work that fills a day, which gives the same team capacity for exceptions, judgment calls, and customers. Anything requiring a decision stays with your people.
What makes a good first RPA use case?
High volume, clear rules, stable systems, and a measurable outcome. Invoice processing, data entry between systems, reconciliation, and routine lookups are common starting points. We prioritize candidates with you and build the business case before development begins.
- Blog
- Business & Process Orchestration, Change Management, Intelligent Automation, Intelligent Document Processing (IDP), Low-Code Development, Managed Services, Process & Task Mining, Robotic Process Automation (RPA), Workflow Automation
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- Artificial Intelligence (AI), Business & Process Orchestration, Intelligent Automation, Intelligent Document Processing (IDP), Robotic Process Automation (RPA)
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- Artificial Intelligence (AI), Change Management, Intelligent Automation, Process & Task Mining, Robotic Process Automation (RPA), Workflow Automation
- Webinar
- Agentic Automation, Artificial Intelligence (AI), Robotic Process Automation (RPA)
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