At AI-on-Cloud, we firmly believe that Agentic AI, powered by advanced Generative AI models like Claude, Gemini, and others, represents the most transformative application of GenAI for business enablement and innovation.
Unlike traditional automation, Agentic AI can operate across both API-enabled environments and those without APIs—covering the vast majority of web-based applications. When deployed effectively, Agentic AI empowers businesses to innovate, access new market segments, and adopt operating models that were previously out of reach due to technological limitations.
These capabilities are akin to hiring highly skilled employees—requiring onboarding, training, and supervision (including action approvals)—but with significant advantages: cost-efficiency, 24/7 availability, and the ability to process vast amounts of information at speed.
Evaluating Agentic Frameworks
Some time ago, we conducted a comprehensive assessment of the leading Agentic AI frameworks at the time: LangGraph, Autogen, and CrewAI (https://ai-on-cloud.com/agentic-ai-frameworks/). Since then, the landscape has evolved rapidly, with new entrants like PydanticAI and SmolAgents offering fresh approaches to flow definition and tool integration.
Despite their differences, our evaluation revealed several common challenges across these frameworks:
- High Coding Requirements: Frameworks like LangGraph, PydanticAI, and SmolAgents demand extensive coding to define flows, often involving complex function definitions for conditional logic.
- Heavy Prompting & Model Usage: Frameworks such as CrewAI and Autogen rely heavily on prompting and predefined tools, leading to trial-and-error execution paths and increased model usage costs.
- Limited Tool Development Flexibility: Most frameworks restrict custom tool creation to Python or JavaScript.
- Scalability Constraints: Scaling typically requires vertical scaling of a central controller node, which is costly and architecturally limiting.
- Lack of Observability & Tuning Tools: A separate ecosystem has emerged to address this, adding complexity to deployments.
- Weak Security Posture: Security often takes a back seat to flow and tool management.
TrueAgent: A Purpose-Built Enterprise Agentic AI Solution
Recognizing these limitations, our team—led by our CTO—developed TrueAGENT, a robust enterprise-grade solution within our ‘TrueX’ suite. TrueAgent addresses the core challenges of existing frameworks while delivering powerful capabilities for real-world business automation.
TrueAGENT delivers capabilities that are not easily matched by the current Agentic Frameworks:
- No Extensive Coding Required: TrueAGENT is a solution, not a framework. Complex process flows can be executed with minimal coding—prompting alone drives behaviour.
- Deterministic Execution: Guardrails ensure predictable flow execution, reducing reliance on model decision-making and eliminating costly hallucinations.
- Effortless Adaptability. Modifying TrueAGENT’s behaviour or execution logic is as simple as updating application manuals or process instructions within the TrueRAG knowledge base—no need for code changes or re-engineering.
- UI Automation: Interact with applications through their user interfaces, including legacy and consumer apps without APIs—estimated to represent 80% of available apps.
- New tools can be developed using any mainstream programming language (Java, Rust, C++, C#, Go, etc.), allowing customers to leverage existing skills and repurpose existing codebases efficiently.
- Seamless Integration with TrueRAG: Our proprietary retrieval-augmented generation system ensures accurate tool usage and virtually eliminates harmful hallucinations, which further enhances TrueAGENT’s capabilities.
- Support for all LLMs, either through their API (Claude, GPT, Gemini, Grok, DeepSeek, etc ), or offered by cloud platforms (Bedrock, Azure AI, etc), or even self hosted (Llama, Falcon, Kimi, and others).
- Microsoft Office Integration: We automate workflows involving email and other Office suite components.
Scalable, Secure, and Cost-Efficient Architecture
TrueAgent is built entirely on AWS serverless services, offering:
- Unlimited Scalability & High Availability: This architecture ensures enterprise-grade reliability, regulatory compliance, and operational resilience.
- Native Security, Monitoring, and Observability: ‘Out of the box’, with minimum configuration required.
- Cost-Efficient PAYG Model: Pricing is based on API call volume, making it ideal for businesses of all sizes.
Ready to Experience Agentic AI in Action?
If you’re exploring Agentic AI to transform your business operations, we’d love to help. Contact us today at ai-on-cloud.com for a free proof-of-concept (PoC) and see how TrueAGENT can unlock new possibilities for your organisation.
