AI-Powered Automation

Automate Intelligent Automation (IA)
Integration & Workflows

Go beyond basic RPA by combining software robots with AI, machine learning, and natural language processing. Intelligent Automation handles the complex, judgment-based tasks that rule-based bots can't.

The Power of Integration

Real results from businesses that automated their Intelligent Automation (IA) workflows

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40%
More Automatable

Additional processes that become automatable when AI is combined with RPA

70%
Less Manual Work

Reduction in manual effort for document-heavy and decision-based processes

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5x
Faster Processing

Speed improvement for complex tasks that previously required human judgment

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85%
Document Accuracy

Straight-through processing rate for AI-powered document handling

The Manual Integration Challenge

Common problems businesses face without automated Intelligent Automation (IA) integration

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Processes That Need Judgment

Basic RPA follows rules, but many business processes require interpretation, classification, or decision-making. Invoices arrive in different formats. Emails need to be understood, not just forwarded. Intelligent automation handles the gray areas.

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Unstructured Data Everywhere

PDFs, emails, scanned documents, handwritten notes—most business data isn't neatly organized in databases. Traditional automation can't read it. AI-powered document understanding can extract meaning from messy, real-world documents.

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RPA Alone Isn't Enough

You've automated the easy stuff with RPA, but hit a ceiling. The remaining processes are too variable, too complex, or too dependent on human interpretation for simple rule-based bots. AI extends what automation can handle.

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Customer Communication at Scale

Responding to customer inquiries, routing support tickets, processing applications—these tasks require understanding language and context. AI makes it possible to handle high volumes without sacrificing quality.

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Exception Handling Overload

Your RPA bots stop and escalate too many tasks because they encounter situations outside their rules. Intelligent automation uses AI to handle more exceptions automatically, reducing the human workload on edge cases.

Decision Bottlenecks

Work queues up waiting for someone to review, approve, or classify items. AI can make routine decisions instantly based on patterns, historical data, and business rules—escalating only the truly unusual cases.

What We Connect Intelligent Automation (IA) With

Seamlessly integrate Intelligent Automation (IA) with your existing business systems

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Robotic Process Automation

IA builds on RPA by adding AI capabilities. Start with rule-based automation and layer in intelligence as needed.

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AI Chatbots

Conversational AI for customer service, internal support, and business process interactions.

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Process Mining

Discover which processes benefit most from intelligent automation using data-driven analysis.

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Business Process Automation

End-to-end process automation that combines RPA, AI, APIs, and workflow orchestration.

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Hyperautomation

The strategy of automating everything that can be automated using every available technology.

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Automation Consulting

Expert guidance on where AI-powered automation will deliver the most value for your specific business.

Integration Capabilities

Everything we can automate with Intelligent Automation (IA) integration

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AI-Powered Document Processing

Extract data from invoices, contracts, forms, and correspondence using AI that understands document structure and content, not just OCR.

  • Multi-format document handling
  • Intelligent field extraction
  • Handwriting and signature recognition
  • Automated validation and cross-referencing
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Natural Language Understanding

Process emails, support tickets, and text-based inputs by understanding what they mean, not just matching keywords.

  • Email classification and routing
  • Sentiment analysis
  • Intent detection for customer requests
  • Automated response generation
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Intelligent Decision Automation

Automate routine decisions using AI models trained on your historical data and business rules, with human oversight for edge cases.

  • Approval and routing automation
  • Risk scoring and classification
  • Anomaly and fraud detection
  • Priority-based task assignment
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Computer Vision

Use AI to interpret images, screenshots, and visual data—reading dashboards, verifying documents, or monitoring visual processes.

  • Screen and dashboard reading
  • Image classification and tagging
  • Visual quality inspection
  • Document layout understanding
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Predictive Analytics

Use machine learning to predict outcomes, forecast demand, and identify problems before they happen.

  • Demand and workload forecasting
  • Process failure prediction
  • Customer behavior prediction
  • Resource optimization
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AI Chatbots and Virtual Assistants

Deploy conversational AI that handles customer inquiries, internal requests, and routine interactions 24/7.

  • Customer service automation
  • Internal helpdesk support
  • Appointment scheduling
  • FAQ and knowledge base access

What our clients say

Frequently Asked Questions

Everything you need to know about Intelligent Automation (IA) integration

What is Intelligent Automation (IA)?

Intelligent automation combines RPA with AI technologies like machine learning, natural language processing, and computer vision. Basic RPA follows rules. IA can also understand, interpret, and make judgment calls. It's the difference between a bot that follows instructions and one that can also read a messy invoice and figure out what's on it.

How is Intelligent Automation different from RPA?

RPA automates structured, rules-based tasks: if X happens, do Y. Intelligent automation adds AI that can read documents, classify requests, and learn from patterns. RPA is the foundation; AI makes it smarter. Most IA solutions use both together.

What types of AI are used in Intelligent Automation?

The main ones: Natural Language Processing (NLP) for understanding text, AI-enhanced OCR for reading documents, Machine Learning for pattern recognition, and Large Language Models for handling complex language tasks. We match the right AI to each use case.

Do we need to build AI models from scratch?

Rarely. We use pre-trained AI models fine-tuned for your specific data. For document processing, language tasks, and classification, existing models deliver excellent results. No data science team needed on your end.

Is Intelligent Automation reliable enough for critical processes?

Yes, when designed correctly. We build confidence thresholds into every solution—the AI handles tasks it's sure about and routes uncertain cases to humans. Over time it learns and handles more automatically. You always maintain oversight.

What's the ROI of Intelligent Automation vs. basic RPA?

IA typically delivers higher ROI because it tackles more complex, higher-value processes. A basic RPA bot might save 2 hours a day on data entry. An IA solution might automate an entire document workflow that currently takes a team. Higher investment, but the returns scale with complexity.

What's the difference between intelligent automation and cognitive automation?

They're often used interchangeably. Cognitive automation emphasizes the AI side—understanding documents, interpreting language, making judgment calls. Intelligent automation is the broader term for any combination of RPA and AI. We use "intelligent automation" because it's clearer, but if you've heard "cognitive automation," it's the same idea.

Ready to Make Your Automation Smarter?

Get a free assessment showing where AI-powered automation can handle the complex tasks that basic RPA can't. See which processes in your business are ready for intelligent automation.

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