AI Automation support: now or never
Automate your company with AI agents tailored to your business.
AI-Powered Automation-don’t let competitors get ahead
At Dattae, we automate all types of processes: from the simplest to the most complex, adapting to your company’s specific needs.
- Basic automation: Some manual processes, typically managed through spreadsheets or databases, can be automated easily without AI, quickly generating value.
- Intermediate automation: Key daily processes that benefit from AI support. These are especially impactful for Operations, Finance, or HR departments.
- Advanced automation: For more complex tasks, we deploy AI agents combined with multiple tools. This applies to specific processes in Marketing, Sales, Legal, or advanced financial and operational areas.
Clear, tangible benefits you'll see in no time:
- Reduce manual tasks: We automate repetitive work so your team can focus on what truly matters.
- Improve efficiency: Cut operational costs and save time with optimized workflows.
- Data-driven decisions: AI agents that understand your business and act for you.
Process automation examples
Finance & accounting
- Automated invoices and expense tracking
- Automated accounting exercises
Human resources
- AI-assisted candidate pre-screening
Smart document management
- Automated onboarding and performance reviews
Operations & logistics
- Automatic PDF data extraction and centralized loading
- Automated review and summarization of legal/regulatory documents
- Demand forecasting and inventory management
- Route and supplier optimization
Customer support
- Chatbots and virtual assistants
- Automated email handling
AI Agents: the core of complex automation
At the heart of smart automation are AI Agents — models capable of making decisions and executing actions based on clear instructions, interacting with other agents and external tools.
Each agent acts as a bridge between user requests and LLMs (Large Language Models), data sources, and external applications. Depending on your goals, we choose and train specific models to solve your business needs.
To design agents clearly and modularly, we use the GAME framework, which structures each agent around four key elements:
- Goals: What the agent needs to achieve and how.
- Actions: How it stores key data to learn and improve continuously.
- Environment: How it interacts with the outside world, executes actions, and receives feedback.
Large Language Models: the foundation of AI Agents
A Large Language Model (LLM) is an AI model trained on massive texts. It understands context, generates coherent responses, and performs tasks like summarization or translation.
One of the key strengths of LLMs is their ability to decide what actions to take by using:
- External tools: For executing specific tasks (web searches, SQL queries, Python scripts...)
- Smart planning: Creating step-by-step plans using techniques like Chain-of-Thought (CoT)
- Environment: Interacting with the outside world to execute and refine actions
Choosing the right model isn’t trivial — there are thousands. It’s essential to select one that fits your business goals, considering language, architecture, size, and performance. Dattae guides you in making the right choice.
Technology choices: we help you find the right balance
Building generative AI services can be technically complex. It requires balancing scalability, security, performance, and data privacy.
At Dattae, we simplify this complexity. We design AI agents that analyze, reason, and understand complex texts, and perform real actions on your behalf (e.g., placing an order or interacting with external systems). We integrate generative models with your business data via secure and simple APIs — always ensuring proper access and control.
So you can focus on your business while we manage the tech.
Our process: from idea to impact
Our process is backed by solid model governance and the right platform, with clear and simple phases: