Popular Workflows
AI Workflows
ThinkAutomation is a powerful workflow automation solution that simplifies workflows by automatically handling incoming emails, database updates, web form submissions, web chats, file changes, and more.
Unlike hosted automation platforms, ThinkAutomation runs on-premises or in your private cloud, giving you full control, faster execution, and lower long-term costs.
Business automation has evolved beyond simple rule-based workflows to include AI, making automation more intelligent and adaptable. This allows businesses to enhance workflows with natural language processing, predictive analytics, and intelligent data extraction - improving efficiency, accuracy, and the ability to manage unstructured data.
All ThinkAutomation editions include AI integration, supporing providers like: ChatGPT, Azure OpenAI, Grok, and OptimaGPT (for fully on-premises AI). AI-generated responses can enhance and drive your automation workflows, unlocking new possibilities for automation across industries.
AI automation use case examples
Use AI to chat with your own data
ThinkAutomation can use AI to automatically respond to incoming emails and chatbot inquiries, enhancing customer experience with accurate, conversational responses. Unlike generic AI, it pulls relevant context from your private, local knowledge store, ensuring replies are specific to your business. This allows you to use affordable public AI models or a private AI server while maintaining accuracy and control. Learn more: Create your own AI chatbots.
Use AI for classification
ThinkAutomation's Ask-AI action can classify incoming emails and other messages. For example, it can identify whether an email is related to "sales" or "support" and trigger the appropriate workflow. AI simplifies text classification, making email processing faster and more efficient. Learn more: Automate email classification using AI.
Use AI for data extraction
ThinkAutomation makes it easy to use AI to extract key data from unstructured text. For example, if you receive resumes via email - whether in plain text or as PDF attachments - the Ask-AI action can automatically identify and extract details like name, address, phone number, and qualifications. ThinkAutomation converts PDFs and HTML content into plain text ready for the AI to process. The extracted data can then be used in your workflow, such as saving it to a database.
Use AI for text and document summarization, translation, anonymization & sentiment analysis
The Ask-AI workflow action lets you apply AI to any text within your workflows, using custom prompts to perform tasks like text and document summarization, anonymization, sentiment analysis, or translation. The AI-generated results are seamlessly returned to your workflow for further processing.
Use AI for natural language data queries
ThinkAutomation's AI-powered automation can generate SQL queries from natural language. This allows users to request database information without needing SQL expertise. The AI interprets the request, generates a query, executes it within the automation workflow, and returns the results via email, chat, or another chosen output. This streamlines database interactions, enabling faster data retrieval and decision-making while reducing the need for manual query writing.
These are just a few examples of how you can use AI Automation with ThinkAutomation.
Use a private AI server
In addition to ChatGPT, Azure and Grok, ThinkAutomation seamlessly integrates with OptimaGPT, Parker Software's self-hosted AI server designed for secure, on-premises processing.
Unlike public AI servers, OptimaGPT runs in your own environment which ensures full control over sensitive data, making it ideal for regulated industries or where use of external AI services may cause privacy issues. It uses a 'bring your own model' approach, allowing you to use freely available large language models (LLM) (such as LLama and Deepseek). Simple to set up and cost-effective, OptimaGPT works out of the box with ThinkAutomation, providing unlimited, privacy-first AI-powered automation without ongoing usage fees.
For more details on OptimaGPT, see OptimaGPT.
When not to use AI in automation
With all the buzz around AI, it may seem like AI can do anything - but in many cases, traditional automation is the smarter choice. Repetitive workflows like data transfers, rule-based email processing, and structured database updates run much faster without AI, avoiding unnecessary delays and costs. AI should be used where intelligence is needed, but for many tasks, direct automation ensures speed, reliability, and efficiency without the overhead and costs of AI processing.
