AI-driven automation
Combining process automation with AI extends the automation toolbox
Intelligent automation creates operative and strategic benefits
While software robots are great in boosting efficiency in rule-based, repetitive processes, they can also be taught more complex tasks when machine learning or other AI components are added to the toolbox. Intelligence can be added by using AI Agents, or making classifications, using machine learning, OCR (Optical Character Recognition), NLP (Natural Language Processing) or NLG (Natural Language Generation).
AI enables new possibilities in process automation
Making decisions and recommendations
Recognizing and processing pictures
Understanding and processing documents
Understanding and processing speech
AI-driven automation use case examples
Explore concrete examples of how intelligent automation creates value across business areas, from recruitment and sales to contracts, email, planning, and cost estimation.
Processing applications
- Prehandling job applications according to the required profile versus applicant profile
- Interview-Forget-Maybe
- ML Model based on: personal file, applications, LinkedIn
Sales recommendations
- Planning sales campaigns according to customer’s buying probability
- Analyses and reports
- ML Model based on: customer data, customer history, services
Handling contracts
- Handling customer contracts and feeding information to ERP systems from documents
- Cross checking information
- ML Model based on: contracts, key information
Email classification
- Automated customer service
- Customer service emails can be handled, classified and when needed, replied to on the basis of free form content
- ML Model based on: emails, classifications, replies
Predictive planning
- Projects in manufacturing industries are planned according to component availability
- Precollecting
- ML Model based on: orders, stock balance, supply history
Predicted cost for a site
- Ability to react to a negative cost development on time
- Operative benefit from invoice handling
- ML Model based on: invoices, budget, history
What's the difference between RPA, AI-powered automation and agentic automation?
Traditional RPA
- Automation of rule-based tasks
- Processing of structured data
- Ideal for routine processes
- Use cases: data entry & retrieval, ERP integrations, reporting, processing invoices or applications, test automation
AI-powered automation
- RPA that relies on ML, NLP & Gen AI
- Processing of unstructured data
- AI classifies data, summarizes documents, understands questions, makes recommendations
- Use cases: Chatbots, processing documents, emails or customer feedback
Agentic automation
- Autonomous agents that make decisions, plan actions, and do tasks without supervision
- Enables automation of non-routinized, unpredictable processes
- Processing and analyzing unstructured data
- Use cases: Service processes, self-directed analysis and workflows
Case stories in AI-powered automation
Demo video: Processing documents with Document Understanding and Agentic technologies
Watch our free demo on how UiPath’s Document Understanding and Agentic automation transform document handling, for example with purchase orders.
Our tech stack for AI-driven automation
Sisua is a Platinum Partner
UiPath is the world’s leading automation platform and Sisua Digital has been awarded with UiPath’s Platinum Partner status globally. The status signifies top-tier expertise and success in implementing UiPath’s automation solutions and it is the highest level of UiPath partnership. In Chile, Sisua has been certified as UiPath’s USN Partner: there are just a few organizations globally which are certified USN Partners.
Book an AI workshop with us
Tell us if you have potential use cases in mind, or whether you’re interested in AI-powered automation or building agents, and we’ll get back to you soon.
What you will gain from this AI workshop:
- Understanding data: what problem is being solved, technology selection, and data sources and types
- AI capabilities and limitations
- Automation of tasks and processes using AI
- Identification of concrete use cases
- Collaborative classification of best use cases
“The AI workshop facilitated by Sisua’s experts helped us quickly surface new and previously considered ideas for leveraging AI, and prioritize them for further development.”
– Juhana Toivonen, Administrative manager, Maatalousyrittäjien eläkelaitos Mela
Insights
Book a free consultation with us
Want to know how AI-driven automation could benefit your company? Tell us about your automation needs and let’s find the right solution for your company together.