Agentic AI Services

TOPS Infosolutions delivers a range of custom AI agent development services. Be it RAG-powered agents, multi-agent systems, or enterprise integration, we help businesses turn AI from a conversational interface into intelligent systems that can execute tasks by understanding goals and making decisions with appropriate human oversight.

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What is Agentic AI?

Agentic AI is an extension of generative AI where instead of just understanding and producing content, it brings these capabilities together to create adaptive and goal-driven workflows. While traditional automation works through predefined rules, agentic AI can respond and act on these rules too.

It can handle complex, multi-step workflows with greater autonomy and minimal supervision. Think of an AI agent as a smart digital teammate that resides in your system, automates repetitive tasks by itself, and does the heavy lifting so that you can focus on innovation.

Why Agentic AI matters?

Increased operational efficiency

AI agents optimize operational processes, determine issues and challenges, and implement solutions without constant human intervention.

Making smarter decisions

With its ability to analyze vast data and deliver actionable insights, you’re paving the way for smarter decision-making.

Scalable solutions

It reduces redundancies in processes with a multi-agent framework that facilitates agents to work together and adapt as your business grows.

Save on costs

AI agents can significantly reduce operational costs by eliminating manual errors and costly inefficiencies.

Our Agentic AI Solutions

Every business is at a different stage of its AI journey. The services are curated to meet you where you are, whether you’re exploring possibilities, building custom agents, or integrating AI into your existing workflows.

Agentic AI consultation

Not sure where to begin? An AI consultation is your first step towards AI transformation. We assess opportunities for automation and evaluate your systems’ readiness in terms of data quality, security, and workflows to craft a clear AI adoption roadmap. At the end of it, you’ll know exactly where agentic AI can make the most impact.

Custom AI agent development Services

Seeking an AI agent service that perfectly fits your business? Our custom AI agent development services deliver autonomous, context-aware agents. We design and develop agents to fit your specific processes, systems, and goals. Be it for customer support, internal automation, or cross-department collaboration, we deliver end-to-end development that matches your unique workflows.

AI-agent integration

Bringing it all together is key. We seamlessly connect AI agents into your CRMs, ERPs, communication platforms, and custom apps. This way, agents can access, process, and update information in real time and work in sync with your existing tools to automate workflows. From triggering tasks and sending notifications to collaborating across systems, your AI agents operate with full security and compliance at every step.

Conversational AI development

Conversations are the heart of customer and employee engagement. We build chat and voice agents that understand intent, context, and history to deliver meaningful, human-like interactions. These agents connect with your CRMs, helpdesks, and knowledge bases so they don’t just respond, but act. They ensure every interaction is fast, accurate, and personalized, regardless of whether it’s a support query or guided onboarding.

RAG-powered AI agents

Looking to build agents with point-on information? Accuracy matters when decisions depend on data. Our retrieval-augmented agents combine LLM intelligence with real-time access to your documents, databases & APIs. This way, they provide answers that are grounded in your latest policies, product catalogs, or reports. By reducing hallucinations & adding citations, these agents deliver responses you can trust, every time.

Agent fine-tuning & optimization

Building an agent is just the beginning. Making it better is where the value grows. We fine-tune agents using your business-specific data, feedback loops, and performance benchmarks. From improving accuracy and response time to reducing costs through optimization, we ensure your agents evolve alongside your needs. The result: smarter, faster, and more reliable AI performance.

Ready to explore what AI agents can do for you?

AI agents are a game-changer in transforming business processes! Discover how autonomous AI agents can streamline your workflows, cut costs, and unlock new growth opportunities.

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Building an Array of Result-driven AI Agents

Choose from different types of agents – from ones that react instantly to those that learn and plan over time. Each type serves a different purpose.

Simple-reflex agents

This agent operates on rule-based logic, responding instantly to specific inputs with pre-programmed actions. They’re ideal if you’re looking for speed and reliability over complexity, especially for tasks like data sorting or repetitive system responses.

Model-based agents

For processes that need better context awareness, like supply chain monitoring or adaptive interactions, we offer model-based agents with a dynamic internal model. These agents can make real-time decisions based on inputs and stored knowledge.

Learning agents

Designed to evolve, these agents improve through experience. We build learning agents using reinforcement learning or fine-tuning for applications like personalization or user behavior analysis.

Goal-based agents

When you’re focused on the outcomes rather than just processes, goal-based agents are ideal. These agents act with specific outcomes in mind. We align them with your objectives, like automating onboarding flows or managing SLA-driven tasks.

Utility-based agents

Built to evaluate and choose the best possible actions, utility-based agents are perfect for resource allocation, lead prioritization, and process optimization. They can manage multi-tier workflows based on your business objectives.

Multi-agents

Some challenges need more than one brain. Using Python’s LangChain, we implement teams of agents for different tasks. They collaborate to share data and divide responsibilities like research, data collection, customer support, and compensate for each other whenever needed.

Agentic AI Development Process

Building an AI agent takes more than a prompt and framework. Our five-step enterprise process for every AI agent development service ensures every agent is scoped, built, and optimized around real workflows.

Defining Strategy & Scope

We work with your internal team to assess use cases and define clear boundaries for what the agent should handle. This phase sets success metrics and scope before any technical work begins.

Deciding the Right Framework

Based on task complexity, integrations needed, and scalability requirements, we select the right framework and architecture. This ensures the foundation supports your specific automation needs instead of a generic template.

Assigning a Team of Experts

We have a dedicated team of AI engineers with domain and integration expertise that are assigned to your project. This ensures the agent is built by people who understand both the technology and your business context.

Developing an Agentic AI Solution

We build the agents with autonomous reasoning, tool selection, and multi-step task execution capabilities. Development follows iterative cycles, testing the agent against real scenarios to refine decision-making accuracy.

Deployment & Optimization

The agent is deployed into your existing workflows with continuous monitoring in place. Ongoing optimization keeps performance accurate and reliable as usage scales and business needs evolve.

Agentic AI Solutions Across Industries

Every industry has repetitive, multi-step workflows that drain time and resources. As a provider of agentic AI software development services, our approach deploys autonomous agents that reason through tasks, call the right tools, and execute multi-step workflows specific to each sector's operations.

Real Estate

FinTech

Healthcare

Logistics and Supply Chain

Wellness & Fitness

On Demand

Technology Expertise

Seamlessly combining automation, decision-making, and execution into one powerful AI ecosystem

LangChain

n8n

Flowise

CrewAI

Autogen

Mirascope

Pydantic AI

LangSmith

GPT-4/GPT-4o/GPT-4o-mini

Claude

Gemini

Mistral/Mixtral

Qdrant

pgvector

REST

GraphQL

Webhooks

Slack

Gmail

Notion

CRMs

Browser

DB Query

File I/O

AWS S3

AWS Lambda/Bedrock

LangSmith

Langfuse

PromptLayer

RAGAS

Presidio

Ready to Build Your Own AI Agent?

From strategy to deployment, our team builds agentic AI solutions that automate real work, not just conversations.

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Frequently Asked Questions

Is your question not here? No Problem, We're waiting for you with more answers! Do not hesitate to contact us if your inquiry was not included in the list.

What is Agentic AI?

Agentic AI refers to AI systems that can independently plan, make decisions, and execute tasks to achieve a goal. Unlike traditional AI, which responds to prompts, agentic systems can take actions, interact with tools, and complete multi-step workflows with minimal human input.

How is Agentic AI different from Generative AI?

Generative AI focuses on creating content like text or images, while Agentic AI goes a step further by taking action. It can analyze situations, decide what needs to be done, and execute tasks across systems, making it more suitable for automation and business workflows.

What are AI agents and how do they work?

AI agents are autonomous systems that break down goals into tasks, use available tools or data, and continuously adapt based on results. They can operate individually or as part of a multi-agent system where different agents handle specialized tasks.

What are the key benefits of Agentic AI for businesses?

Agentic AI helps reduce manual effort, improve decision-making speed, and automate complex workflows. Businesses can operate more efficiently, respond faster to changes, and scale processes without increasing team size.

What are common use cases of Agentic AI?

Agentic AI is widely used for customer support automation, IT operations, sales workflows, research automation, and enterprise knowledge management. It can handle tasks like resolving tickets, managing workflows, and coordinating across systems in real time.

How do you ensure control and reliability in Agentic AI systems?

Control is achieved through guardrails, monitoring, human-in-the-loop mechanisms, and predefined workflows. Modern systems also provide logs and traceability so every action taken by an agent can be reviewed and audited.

How long does it take to implement an Agentic AI solution?

Simple agent workflows can be deployed within a few weeks, while enterprise-grade multi-agent systems may take a few months, depending on complexity, integrations, and scale.

Why choose TOPS for Agentic AI services?

TOPS focuses on building practical, outcome-driven Agentic AI solutions that go beyond prototypes. We help you identify high-impact workflows, design intelligent agents, and integrate them seamlessly into your systems. With a strong focus on control, scalability, and measurable results, we ensure your AI investment delivers real business value.