Agentic AI Solution | TruAgent - Go Beyond Rule-Based Automation

BRING THE POWER OF AI AGENTS TO YOUR BUSINESS WITH AGENTIC AI

Embrace the cutting-edge of process automation with Datamatics TruAgent. Easily create, govern, and manage AI Agents to drastically increase the speed of operation, eliminate inaccuracies, and free up employees' time to solve complex challenges.

TruAgent enables you to take a quantum leap in the automation continuum with powerful possibilities that Agentic AI can only provide. Harness the power of Agentic AI with a solution brought to you by the leaders in Process Automation.

Key Differentiators

Integrate with LLMS

Integrate with fundamental models and that lets you integrate with your own custom LLM.

Ground AI Models In Your Data

Fine-tune the AI models by training in enterprise data

Low-code Agent Development

Leverage low-code to build AI Agents at speed in the secure environment of Datamatics TruAgent.

Components of TruAgent

TruAgent Designer

Use a visual designer and ready-made drag-and-drop components to build AI Agents

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TruAgent Cockpit

Take complete control of your Agentic AI program with TruAgent Cockpit. You can now centrally manage and monitor your entire AI Agent workforce.

Agentic AI

Frequently Asked Questions

We want to simplify your life. In the following you see answers to some questions that might arise.

What is Agentic AI/Agentic Process Automation (APA)?

Agentic AI/Agentic Process Automation (APA) leverages AI models to autonomously perform complex tasks in a goal-oriented scenario. Sophisticated AI models power Agentic AI/APA so that it adapts to fluid conditions in real-time without any human intervention.

What is the extent of autonomy in Agentic AI? Agentic AI operates independently or autonomously to achieve pre-programmed targets or goals, by leveraging its AI model training and environmental learning in a context-specific scenario. It accelerates automation speed significantly as compared to contemporary automation solutions.

What is multi-agent collaboration in Agentic AI? AI Agent, the smallest unit of Agentic AI/APA, breaks a broad goal into multiple steps. Multiple AI Agents autonomously collaborate among themselves, prioritize tasks, and delegate tasks to each other to achieve a pre-configured outcome. This feature of Agentic AI/APA is called multi-agent collaboration.

What is the real-time adaptability of RPA versus Agentic AI?

Rules-driven RPA bots have limited adaptability and require human-in-the-loop intervention to execute a task having exceptions in the input data. AI-model-powered Agentic AI/APA dynamically adapts to real-time data and changing business conditions based on their AI model training.

How do you ensure that the AI Agents align with human values and Responsible AI considerations? Agentic AI driven AI Agents are purpose-built using enterprise data that is well curated and redacted to remove personally identifiable information (PII). They also follow the guard rails for Responsible AI that are established at inception.

How can we ensure that Agentic AI solutions are transparent and explainable in their decision-making processes? Agentic AI solutions are pre-programmed to achieve specified goals. They work on weightages to achieve success within the ambit of pre-defined parameters. The weightages taken to achieve the specified goal are evident in the backend. The purpose-built Agentic AI solutions, which operate within the ambit of Responsible AI, are thus transparent and explainable.

How can we develop robust safety mechanisms and safeguards for Agentic AI systems? Agentic AI solutions built within the ambits of Responsible AI follow guard rails to operate within safe boundaries and trusted ecosystems. Licensed AI models that underpin the Agentic AI solutions ensure that the data is not shared further to third parties.

What is the key difference between Agentic AI and Generative AI? Agentic AI works with purpose-built frameworks and action models. They use conversational interfaces as one of the medium for building AI Agents. Generative AI works exclusively with conversational interfaces that use NLP and NLG to retrieve information from the underpinning LLMs using retrieval augment generation (RAG).

Can Generative AI be considered a subset of Agentic AI? Generative AI is one of the skills that is used by Agentic AI to deliver its specified goals.

Can an AI system be both Generative and Agentic? An AI system can use both Generative AI and Agentic AI.

How can Agentic AI agents handle unforeseen circumstances or exceptions that were not explicitly programmed for within a process? More mature Agentic AI solutions are programmed to exercise intelligence based on the weights of different scenarios. Less mature Agentic AI solutions also leverage workflows, in parallel, to achieve the desired goal and return for human intervention in case of exceptions.

What is the difference between Agentic AI and AI Agents? Agentic AI is a sub-set of Artificial Intelligence that takes decisions and actions based on pre-configured goals without human intervention in a secure environment. It brings process autonomy to the table and adapts to changing environmental inputs.

AI Agents, on the other hand, are the smallest functional unit of Agentic AI and execute tasks based on specific goals without human intervention.

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TruAgent

BRING THE POWER OF AI AGENTS TO YOUR BUSINESS WITH AGENTIC AI

TruAgent Overview

Key Differentiators

Components of TruAgent

Frequently Asked Questions

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