Agentic AI: Pillars, Frameworks & Future Insights

Explore the pillars, frameworks, and future of Agentic AI. Discover its applications, challenges, and transformative impact on industries worldwide.


Interactive Report: The Pillars of Agentic AI

The Agentic Paradigm

This application provides an interactive exploration of Agentic AI, a transformative leap from generative tools to autonomous systems. Here, we deconstruct the core principles of AI agents that can perceive, reason, and act to achieve goals independently, moving from passive tools to active digital partners.

The Foundational Pillars of an AI Agent

An agent's ability to act autonomously emerges from six interconnected architectural pillars. This is a cyclical cognitive architecture where the agent perceives, remembers, reasons, acts, and reflects. Click on each pillar to explore its function and significance in detail.

Modern Agentic Frameworks

Building an agent requires a framework to orchestrate its cognitive cycle. This section explores the dominant modern paradigms, from dynamic, interleaved models to structured, upfront planners. Understanding these frameworks reveals the fundamental design trade-offs between flexibility and reliability in agentic systems.

Agentic AI in Practice

Agentic AI is already transforming core business processes across industries. These systems automate complex, multi-step workflows, delivering significant gains in efficiency. Filter by industry to see specific use cases and real-world examples.

Challenges, Risks, and Governance

The power of agentic AI is matched by the scale of its challenges. As agents become more autonomous, ensuring their reliability, safety, and alignment with human values is paramount. The chart below conceptualizes a critical dynamic: as an agent's capabilities grow, so does the potential for misalignment risk if not governed properly.

The Future of Autonomous Intelligence

The research frontier is pushing towards even more sophisticated agents capable of hierarchical planning, causal reasoning, and physical interaction. This will reshape economies and the nature of work, demanding new forms of human-AI collaboration and robust global governance.




Agentic-ai-adoption-framework    Agentic-ai-adoption-framework    Agentic-ai-challenges    Agentic-ai-pillars    Agentic-enterprise    Ai-agent-project-lifecycle    Enterprise-ai-agent-risks-res    How-to-define-measure-success    Measuring-agentic-ai-effectiv    Super-agent-info   

Dataknobs Blog

Showcase: 10 Production Use Cases

10 Use Cases Built By Dataknobs

Dataknobs delivers real, shipped outcomes across finance, healthcare, real estate, e‑commerce, and more—powered by GenAI, Agentic workflows, and classic ML. Explore detailed walk‑throughs of projects like Earnings Call Insights, E‑commerce Analytics with GenAI, Financial Planner AI, Kreatebots, Kreate Websites, Kreate CMS, Travel Agent Website, and Real Estate Agent tools.

Data Product Approach

Why Build Data Products

Companies should build data products because they transform raw data into actionable, reusable assets that directly drive business outcomes. Instead of treating data as a byproduct of operations, a data product approach emphasizes usability, governance, and value creation. Ultimately, they turn data from a cost center into a growth engine, unlocking compounding value across every function of the enterprise.

AI Agent for Business Analysis

Analyze reports, dashboard and determine To-do

Our structured‑data analysis agent connects to CSVs, SQL, and APIs; auto‑detects schemas; and standardizes formats. It finds trends, anomalies, correlations, and revenue opportunities using statistics, heuristics, and LLM reasoning. The output is crisp: prioritized insights and an action‑ready To‑Do list for operators and analysts.

AI Agent Tutorial

Agent AI Tutorial

Dive into slides and a hands‑on guide to agentic systems—perception, planning, memory, and action. Learn how agents coordinate tools, adapt via feedback, and make decisions in dynamic environments for automation, assistants, and robotics.

Build Data Products

How Dataknobs help in building data products

GenAI and Agentic AI accelerate data‑product development: generate synthetic data, enrich datasets, summarize and reason over large corpora, and automate reporting. Use them to detect anomalies, surface drivers, and power predictive models—while keeping humans in the loop for control and safety.

KreateHub

Create New knowledge with Prompt library

KreateHub turns prompts into reusable knowledge assets—experiment, track variants, and compose chains that transform raw data into decisions. It’s your workspace for rapid iteration, governance, and measurable impact.

Build Budget Plan for GenAI

CIO Guide to create GenAI Budget for 2025

A pragmatic playbook for CIOs/CTOs: scope the stack, forecast usage, model costs, and sequence investments across infra, safety, and business use cases. Apply the framework to IT first, then scale to enterprise functions.

RAG for Unstructured & Structured Data

RAG Use Cases and Implementation

Explore practical RAG patterns: unstructured corpora, tabular/SQL retrieval, and guardrails for accuracy and compliance. Implementation notes included.

Why knobs matter

Knobs are levers using which you manage output

The Drivetrain approach frames product building in four steps; “knobs” are the controllable inputs that move outcomes. Design clear metrics, expose the right levers, and iterate—control leads to compounding impact.

Our Products

KreateBots

Launch intelligent chatbots instantly
  • Ready-to-use front-end—configure in minutes
  • Admin dashboard for full chatbot control
  • Integrated prompt management system
  • Personalization and memory modules
  • Conversation tracking and analytics
  • Continuous feedback learning loop
  • Deploy across GCP, Azure, or AWS
  • Add Retrieval-Augmented Generation (RAG) in seconds
  • Auto-generate FAQs for user queries

    • KreateWebsites

    AI-driven website builder
  • Build SEO-optimized sites powered by LLMs
  • Host on Azure, GCP, or AWS
  • Intelligent AI website designer
  • Agent-assisted website generation
  • End-to-end content automation
  • Content management for AI-driven websites
  • Available as SaaS or managed solution
  • Listed on Azure Marketplace

    • Kreate CMS

    Content Management for GenAI
  • Purpose-built CMS for AI content pipelines
  • Track provenance for AI vs human edits
  • Monitor lineage and version history
  • Identify all pages using specific content
  • Remove or update AI-generated assets safely

    • Generate Slides

    Create presentations from prompts
  • Instant slide decks from natural language prompts
  • Convert slides into interactive webpages
  • Optimize presentation pages for SEO

    • Content Compass

    Automated storytelling engine
  • Auto-generate articles and blogs
  • Create and embed matching visuals
  • Link related topics for SEO ranking
  • AI-driven topic and content recommendations