Business Process Automation Use Cases
Examples of how our AI-driven automation solutions can enhance business operations
Information as a Service
Specialized research, gathering and processing data from the internet or internal databases with AI-driven information extraction, summarization, and notifications.
Business intelligence and predictive analytics, pooling competitor and market information from diverse sources, including customer feedback sites and forums.
Staying up to date on news, changing regulations, market landscapes, customer sentiment, and external conditions.
Scanning vast amounts of data and only extracting what is relevant, no matter how specific the criteria, letting AI notify relevant parties or triggering different actions depending on urgency and type of information.
AI-powered data processing allows us to filter information flexibly, decide what is important, format it to our needs and notify stakeholders faster than ever.
Data-driven decision support and analytics
Automated analysis of any type of data, structured or unstructured, including text, image, audio, video, numeric, and abstract sensor signals.
Joint multi-source and multi-modal data processing in real time, with actionable insight generation and triggering of notifications, events, or security measures.
Interactive data analysis, essentially being able to talk to your data and having AI explain or visualize insights, implications, and actionable recommendations.
Data-driven decision support with context awareness and explainability, generating unique AI recommendations based on current internal and external conditions.
Modern AI technology gives anybody the power of data science and analytics to support decisions and operations, without requiring an analytical education.
Automated quality assurance
Image and video based monitoring of product quality at manufacturing lines, classifying visual quality, detecting flaws, and optionally triggering actions for assortment.
Real-time machine and process health monitoring based on data streams from the manufacturing plant or signals from ambient sensors, audio or video streams.
Chain reaction implementations, triggering notifications, user guidance, or alerts upon suspicious or custom configured event detection.
Flexible integration of existing data, with consultation on additional recommendations, such as thermometric, piezoelectric, electromagnetic or spectral sensing.
Sensor quality, range, size, and affordability today enables unprecedented capabilities for quality assurance and predictive maintenance when paired with machine learning and RPA.
Smart document search, chat, creation and translation
Smart search over thousands of files with text, tables, diagrams, presentations, audio and video content, with direct chat capability, citation and source identification.
Reliable, consistent, and well-aligned text generation in different formats and languages, grounded in verified source materials and maintaining full data privacy.
Guaranteed truthfullness: Internal verification, iterative validation and correction of AI-generated output based on source material before reaching the user or document.
Real-time AI-assistants or chat-agents to support staff or clients based on non-public, internal knowledge, such as complex handbooks, user manuals, and documentations.
Speak naturally with all your data, no matter the format, language, or content, all with guaranteed data security and privacy.
Employee support
For onboarding, training, and workflow guidance during production, specialized AI systems trained for your business processes can continuously aid employees.
Intelligent document management incorporates AI to sort and quickly find relevant documentations and guidelines for any endeavor, no matter how specific or sensitive.
Automated preparation of reports, presentations, offers, invoices, emails, documentations, and more, so you can just check and correct the AI-generated document drafts.
Triggering of notifications and document preparations upon inquiries or meetings, including potentially required database queries and eligibility inspections, with AI-based prioritization and actionable recommendations.
Instead of letting AI replace employees, we want to empower them with AI to increase their capabilities and productivity through supportive intelligent systems.
Customer support
Around the clock availability of business specialized chat bots, trained with your unique operations, terms of service, ways of working, tonality, and brand voice.
AI-powered search functionalities for your offers or support documents can significantly improve customer experience when looking for your products, online assistance or troubleshooting.
Automated offer, support, and invoice preparation upon customer inquiries via email, order or contact form, with the AI fetching relevant information like pricing data and workload estimations, can accelerate response times and increase customer satisfaction.
With little influence on incoming customer inquiries, you can take stress off your team while improving customer support with AI.
Integration as a Service
Task-specialized AI models can interconnect previously separated systems by processing the output of a system, interpreting and formatting it, and sending what is relevant to other dependent systems.
Communication between different services that facilitate your operations can often be automated using AI with conditional processing and event chains, accelerating your processes.
Linking separate business components through intelligent automation can free up employee time, spent on manually transferring data between systems, and decrease error rates.