5 AI Tools for Building Orchestration and Agentic Solutions

By

Neena Sathi, Principal, Applied AI Institute, nsathi@aaii.ai and

Priya Ranjani Mohan, LinkedIn Learning Course Author, Forbes Technology Council Member, IEEE Senior Member, priyamohan@ieee.org

Overview

The rise of agentic systems which are autonomous, goal-driven AI entities that can reason, retrieve, and act—has created new possibilities for innovation across industries. Whether you're developing a grading assistant for educators, a portfolio advisor in finance, or a policy-writing bot for HR, orchestration frameworks and agent-building tools are the glue that binds it all together.

Here are five powerful tools that professionals and educators alike are using to build scalable, orchestrated AI agents in 2025:

1. Langflow: Visual Agent Design for Everyone

Langflow is a drag-and-drop interface for designing LLM-powered workflows. Inspired by LangChain but built for accessibility, it allows users to:

• Visually define agent interactions, tools, and memory

• Connect retrieval-based data sources like PDFs or Astra DB

• Deploy multi-step workflows in minutes

It’s ideal for education, prototyping, and introducing orchestration concepts to learners—no advanced coding required.

The diagram below shows the intuitive Langflow visual flow builder which can be used to connect databases, prompts, language models and search engines in order to build a custom AI application that is designed for your specific needs.

2. Microsoft Copilot Studio: Enterprise-Grade Agent Framework

For organizations looking to build secure, compliant, and deeply integrated agents, Microsoft Copilot Studio provides an intuitive interface within the Power Platform ecosystem.

You can:

• Define roles and response behaviors

• Integrate agents with Microsoft 365 apps, Teams, SharePoint, and Power Automate

• Add retrieval capabilities from internal knowledge bases

It’s especially effective for enterprise HR, policy, and operations use cases—such as AAII’s cross-regional HR policy bot or onboarding copilots. Copilot Studio is an excellent choice for large organizations that have already adopted various Microsoft suite of products as the integrations to existing Microsoft application significantly reduces the training time for resources who are new to agentic AI.

3. Flowise: Low-Code Agent Workflows

Flowise is a fast-growing platform for designing and deploying LLM-based apps using modular, reusable components. It supports:

• Agent actions (e.g., file analysis, summarization)

• RAG (Retrieval-Augmented Generation) pipelines

• Front-end integrations for internal tools and dashboards

Flowise offers a clean visual interface and deployment options suitable for SMEs and startups building custom copilots or automation bots.

Unlike Microsoft Copilot where the user is locked into the Microsoft ecosystem with less flexibitlity for custom implementations, Flowise offers full control over infrastructure, customization and enables human-in-the loop reviews along with execution transparency. Flowise can be deployed on cloud servers such as AWS, GCP or even on-prem infrastructure or can be supported by containerized platforms such as Kubernetes.

4. Google Gemini Gems: Lightweight, Personalized Copilots

Gems are custom agents inside Google Gemini, designed to carry out specific tasks with personality and structure. Users can:

• Define task instructions and tone

• Upload supporting documents

• Customize for roles like resume coach, health advisor, or academic tutor or use pre-built Gems designed for everyday tasks such as Brainstormer, Career Guide, Coding Partner etc.

They’re great for rapid prototyping or personal productivity agents—and many professionals use them to explore persona design before graduating to heavier tools.

5. Google Agent Development Kit (ADK): Production-Ready Multi-Agent Systems

Google ADK is a developer framework for advanced multi-agent orchestration. It’s model-agnostic and supports parallel, hierarchical, and sequential agent flows.

Core features:

• Supports Gemini, GPT-4, Claude, and others via LiteLLM

• Built-in tool integration, streaming, evaluation, and memory

• Seamlessly deploy on Vertex AI or Docker

For teams building serious, enterprise-grade solutions with autonomy and memory, ADK is a leap forward.

Unlike Gemini Gems, Google ADK, is an open-source framework designed to simplify the creation and deployment of AI agents. ADK gives developers fine-grained control over agent behavior and orchestration unlike Gems which is a no-code tool.

6. Comparative Overview: 5 AI Tools for Orchestration & Agentic Solutions

💡 How AAII Bridges Them All 

The Applied AI Institute's Build Agentic Solutions environment lets students test these tools in context—offering structured templates, personas, and sandbox-ready datasets to build everything from HR policy writers to portfolio advisors. It’s the ideal on-ramp for learners to go from no-code experiments to production-grade workflows. Here are some example Agentic solutions built by Applied AI Institute and its students as part of Build Agentic Solution course.

Final Thoughts: The Future Is Orchestrated

Each of these tools represents a unique layer in the emerging agentic AI stack—from lightweight copilots to advanced, multi-agent systems. Whether you're just starting with Gemini Gems or deploying enterprise copilots via ADK, there's a solution for every stage of your AI journey.

Want to see real-world examples? Check out AAII's Agentic Solutions, where students and professionals have built everything from portfolio bots to grading assistants using tools like Langflow, Copilot Studio, and Astra DB.  AAII’s Gen AI course series guides you from Prompt Engineering fundamentals to building advanced agentic solutions—learn more at Summer GenAI Series

Which tool will you start with?