AI Agent Development

Build autonomous, intelligent agents that reason, plan, and act — tailored to your business goals and workflows.

At Vervelo, we specialize in developing next-generation AI agents powered by advanced LLMs and custom tools. Whether it’s automating complex tasks, handling conversations, or making decisions, our agents are designed to work autonomously and safely across environments.
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What Are AI Agents?

Autonomous Software That Thinks, Learns, and Acts

AI agents are intelligent, autonomous systems capable of perceiving their environment, reasoning about goals, and taking actions without continuous human input. Unlike traditional automation or rule-based bots, they dynamically respond to real-world data, learn from interactions, and coordinate with tools and APIs to complete complex, multi-step tasks.
Powered by Large Language Models (LLMs) and enhanced with memory, planning, and tool-use capabilities, AI agents are transforming how businesses operate by enabling smarter automation, faster execution, and reduced manual oversight.
Key Capabilities of AI Agents

Multi-Step Decision-Making

AI agents break down tasks into logical sub-tasks, making context-aware decisions at every step. Ideal for use cases like claims processing, incident resolution, or lead qualification.

Conversational Support

Built with natural language understanding, agents enable contextual, multi-turn conversations—perfect for intelligent virtual assistants, customer service, or internal knowledge agents.

Workflow Automation

AI agents integrate with enterprise tools (CRM, ERP, etc.) to perform tasks autonomously—handling repetitive processes, form submissions, data entries, and more.

Information Retrieval & Summarization

Agents pull from structured/unstructured sources to retrieve, filter, and summarize information, streamlining workflows in legal, healthcare, finance, and research.

Tool & API Orchestration

Modern agents can run code, call APIs, and manipulate data to drive end-to-end automation—e.g., monitoring stock trends, creating reports, and notifying stakeholders.

Personalization & Context Retention

AI agents retain user preferences, historical interactions, and contextual knowledge, allowing them to deliver highly personalized responses, recommend next-best actions, and maintain long-term engagement across channels.

Types of AI Agents
Choose the Right Intelligence for the Right Task
AI agents differ in complexity, autonomy, and capability, ranging from simple reactive responders to sophisticated goal-driven systems with memory, reasoning, and tool access. These agents are designed to analyze context, make informed decisions, and autonomously perform tasks across varied environments.
At Vervelo, we build and fine-tune AI agents tailored for real-world use in finance, healthcare, e-commerce, logistics, legal tech, HR, and more—delivering scalable automation that fits your operations.

Reactive Agents

Reactive AI agents are rule-based and respond to inputs in real-time without maintaining memory. They are fast, efficient, and suitable for high-volume, low-complexity tasks where context is minimal.
Use Cases:
  • Instant customer query routing
  • Real-time anomaly detection in IoT devices
  • System status alerts and diagnostics
  • Smart home device responses
  • Security protocol triggers

Deliberative (Goal-Based) Agents

These agents maintain an internal model of their environment and can plan toward specific objectives. They use logic and inference to decide the best course of action. Use Cases:
  • AI-powered meeting schedulers 
  • Complex workflow orchestrators 
  • IT incident triage and resolution 
  • Robotic path planning in warehouses 
  • Insurance claims automation

Learning Agents

Learning agents evolve by interacting with their environment, continuously improving through reinforcement learning or supervised feedback loops. Use Cases:
  • E-commerce product recommendation engines 
  • Personalized health and fitness guidance 
  • AI-driven sales prospecting tools 
  • Loan approval models that learn from user behavior 
  • Dynamic pricing models in online marketplaces

Interactive Conversational Agents

These agents use LLMs and NLP to manage complex, human-like conversations, maintaining context, tone, and memory across interactions. Use Cases:
  • Customer service bots for banking, telecom, and retail 
  • Internal knowledge assistants for enterprises 
  • Intelligent HR onboarding agents 
  • Conversational agents for mental health and therapy 
  • AI tutors and personalized education assistants

Multi-Agent Systems (MAS)

MAS consists of multiple agents working in tandem—either collaboratively or competitively—to solve tasks that are too large or distributed for a single agent. Use Cases:
  • Supply chain optimization across geographies 
  • Simulated emergency response planning 
  • Multi-agent financial trading simulations 
  • Distributed scientific research tasks 
  • Multi-department process collaboration in large enterprises 

Tool-Enabled Agents

These agents can autonomously use external tools, APIs, or databases to gather data, generate insights, and take actions, enabling robust automation across business functions. Use Cases:
  • AI copilots that pull CRM data, analyze trends, and draft reports 
  • Legal agents who search case law and summarize rulings 
  • Healthcare agents that analyze patient histories and generate insights 
  • DevOps agents that automate testing, logging, and deployment 
  • RAG (Retrieval-Augmented Generation) enabled customer support agents
How AI Agents Work

The Intelligence Behind Autonomous Task Execution

AI agents function by combining perception, reasoning, and action, guided by data, goals, and context. Unlike traditional automation, they operate autonomously, adapt to dynamic environments, and make informed decisions across multi-step processes.
At their core, AI agents follow a loop known as the Perceive–Reason–Act cycle, often enhanced by tools like memory, APIs, planning engines, and real-time feedback systems.
Our AI Agent Services

From Design to Deployment — Custom AI Agents for Every Business Use Case

At Vervelo, we provide end-to-end AI agent development services tailored to your industry, workflows, and infrastructure. Our solutions are built using advanced LLMs, agentic frameworks, and tool orchestration to deliver intelligent automation that scales with your operations.

1. Conversational Agent Development

We design and deploy advanced AI chatbots and voice assistants powered by LLMs, capable of handling contextual, multi-turn conversations. These agents offer natural interaction, maintain conversational memory, and adapt to user sentiment and intent in real time.

Key Benefits:

  • 24/7 automated support with human-like fluency
  • Support for multiple languages and channels (web, WhatsApp, Slack, IVR, etc.)
  • Seamless handoff to human agents when needed
  • Tools: GPT-4o, Claude 3, LangChain, RAG, Twilio, Dialogflow
  • Use Cases: Tech support, HR queries, e-commerce bots, virtual receptionists

2. Autonomous Workflow Agents

Our agents are engineered to execute complex, rule-based or dynamic workflows independently. They can navigate conditional logic, validate data, handle approvals, and notify stakeholders—without manual input.

Key Benefits:

  • Reduces manual effort in repetitive backend processes
  • Enables human-in-the-loop (HITL) supervision where needed
  • Integrates with BPM tools and internal systems
  • Use Cases: Employee onboarding, CRM updates, document validation, compliance workflows

3. API-Orchestrating Agents

These agents act as smart middle layers between users and APIs. They interpret user intent, select the right tool or service, call APIs with correct parameters, and return structured outputs—autonomously.

Key Benefits:

  • Reduces the need for multiple integrations per use case
  • Converts natural language input to executable API workflows
  • Enables multi-step task chaining with fallback logic
  • Use Cases: Marketing automation, SaaS integration, customer data syncing, sales ops

 

4. Retrieval-Augmented Generation (RAG) Agents

We create agents that combine LLMs with contextual knowledge retrieval, pulling real-time, domain-specific content from internal or external sources. These agents ensure factual accuracy and domain relevance in their responses.

Key Benefits:

  • Reduces hallucination in LLM outputs
  • Supports real-time Q&A, document summarization, and legal research
  • Enables custom search interfaces over private datasets
  • Tools: Pinecone, Weaviate, FAISS, OpenSearch
  • Use Cases: Legal research, medical assistance, enterprise document analysis

5. Tool-Using Agents with Code Execution

We build agents that go beyond natural language—they can write, run, and debug code to solve analytical problems or automate technical workflows. These agents understand problem context, generate solutions, and validate outcomes.

Key Benefits:

  • Eliminates repetitive data engineering or analysis tasks
  • Works with Python, SQL, shell scripts, Excel formulas, and more
  • Performs dynamic analysis with real-time feedback
  • Use Cases: ETL pipelines, financial modeling, ML experiment orchestration

6. Multi-Agent System Design

Our team designs collaborative systems of agents, each with unique roles—coordinating through messaging or task delegation to achieve a shared objective. Useful in simulations, enterprise automation, and modular AI workflows.

Key Benefits:

  • Parallel task execution with role-specific specialization
  • Emergent behavior through agent collaboration
  • Supports simulation, swarm intelligence, and R&D coordination
  • Frameworks: CrewAI, AutoGen, LangGraph
  • Use Cases: Research orchestration, patient care coordination, supply chain simulation

 

7. Custom Agent Infrastructure Setup

We help you build the entire technical stack for deploying production-grade agents—from memory modules and vector stores to observability tools and security frameworks.

Key Benefits:

  • Production-ready deployments with monitoring and scaling
  • Modular setup for tool routing, memory management, agent routing
  • Built for enterprise security, compliance, and governance
  • Stack: AWS, Azure, GCP, Docker, LangServe
  • Includes: Vector DB setup, guardrails, logging, API gateway integration

 

8. Agent Evaluation & Optimization

Already using agents? We evaluate your current deployments for performance, robustness, compliance, and efficiency. Our audits ensure your systems remain scalable, responsible, and safe.

Key Benefits:

  • Identify bottlenecks, hallucination risks, and tool-use failures
  • Ensure compliance with AI safety frameworks and benchmarks
  • Continuous fine-tuning and A/B testing support
  • Metrics: Tool success rate, latency, factual accuracy, hallucination rate, HITL coverage
  • Tools: EvalLLM, Promptfoo, OpenAI Evals, human feedback systems

8. Embedded AI Agents for Devices & IoT

We develop lightweight agents designed for edge environments and embedded systems, enabling real-time decision-making in hardware-dependent use cases.

Key Highlights:

  • AI agents optimized for low-power edge devices
  • Seamless integration with sensors, medical devices, and IoT gateways
    Use Cases: Smart medical devices, industrial monitoring, autonomous robotics
    Technologies: TensorFlow Lite, NVIDIA Jetson, Edge Impulse, ONNX Runtime
Technology Stack

Modern Infrastructure for Scalable, Secure, and Intelligent AI Agents

At Vervelo, we leverage a robust and modular technology stack to build, deploy, and manage AI agents that are reliable, scalable, and production-ready. Our tech choices ensure compatibility with your enterprise systems and flexibility for continuous innovation.
Large Language Models (LLMs)
We use state-of-the-art LLMs tailored to task complexity and domain specificity:
  • OpenAI GPT-4o / GPT-4-Turbo
  • Anthropic Claude 3.5
  • Google Gemini 1.5 Pro
  • Mistral & Mixtral (open source)
  • Meta LLaMA 3
Our agents are built on powerful orchestration frameworks for logic, memory, and tool integration:
  • LangChain
  • CrewAI
  • AutoGen
  • LangGraph
  • Semantic Kernel
To support long-context reasoning and knowledge grounding:
  • Vector Stores: Pinecone, Weaviate, FAISS, Qdrant
  • Document Loaders & Embedders: LangChain Loaders, OpenAI / Hugging Face Embeddings
  • Databases: PostgreSQL, MongoDB
To ensure safety, quality, and performance:
  • Promptfoo, OpenAI Evals, TruLens
  • Guardrails AI, Rebuff, HoneyHive
  • Unit test frameworks, custom eval scripts, human-in-the-loop systems
For secure and compliant agent deployments:
  • OAuth 2.0 / JWT / SSO integration
  • Audit trails, role-based access controls (RBAC)
  • GDPR, HIPAA, SOC 2 alignment
  • Deployment via Docker, Kubernetes, AWS IAM, Azure AD
We enable agents to interact with:
  • CRMs (Salesforce, HubSpot)
  • Internal APIs, GraphQL/REST
  • DevOps tools (GitHub, Jenkins, JIRA)
  • Cloud storage (S3, GDrive, Azure Blob)
Why Choose Vervelo for AI Agent Development

Deep Expertise. Proven Execution. Scalable Innovation.

At Vervelo, we engineer AI agents that go beyond automation — they deliver intelligence at scale. Our cross-functional capabilities ensure rapid prototyping, secure deployment, and long-term performance, built to match your enterprise vision.
Full-Stack Expertise

From LLM selection to custom tool integration, we cover every layer:

  • Prompt orchestration and retrieval-augmented generation (RAG)
  • Memory architecture (short-term, long-term, vector DBs)
  • Agent coordination using frameworks like LangGraph, AutoGen, and CrewAI
  • Voice, vision, and multimodal interfaces
  • Data pipelines and logging instrumentation for observability
  • Secure deployment with infrastructure-as-code, access controls, and sandboxing
Enterprise-Ready Deployments

We ensure every solution is:

  • Production-hardened and scalable
  • Compatible with AWS, Azure, GCP, and on-prem setups
  • SOC 2, HIPAA, GDPR, and ISO 27001 compliant
  • Equipped for multi-agent orchestration and real-time monitoring
  • Backed by CI/CD, model versioning, and rollback workflows
Use-Case Centric Approach

We craft AI agents tailored to your goals:

  • Customer Support Agents: Intelligent, 24/7, multilingual support
  • Revenue Agents: Personalized email outreach and CRM updates
  • Data Agents: ETL automation, data validation, and anomaly detection
  • Internal AI Assistants: HR, legal, and IT helpdesk copilots
  • Research & Summarization Agents: Domain-specific knowledge workers
  • Developer Agents: Automated debugging, code generation, and testing
Outcome-Focused Delivery
We deliver solutions that:
  • Accelerate time-to-value with fast iteration cycles
  • Improve workflow efficiency and user satisfaction
  • Enhance decision accuracy across high-stakes operations
  • Are tied to custom KPIs, like task success rate, latency, and cost-per-task
Trusted by Global Teams
  • 140+ enterprise deployments across North America, Europe, and APAC
  • Expertise in finance, healthcare, supply chain, education, and e-commerce
  • Recognized for technical depth, agility, and strategic alignment
  • Partnered with leading LLMs, vector DBs, and agent toolkits
Contact Us
Let’s Talk About Your Project
At Vervelo, we deliver seamless integration and performance-driven solutions that move your business forward in the digital age. Share your vision—we’re here to bring it to life.
We’ll reach out to you shortly!
Our innovative approach ensures seamless integration and unparalleled performance, driving your business forward in the digital age.

Pune, Maharashtra, India

+1 (833) 520-3712

sales@vervelo.com

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Frequently Ask Questions On Custom AI Agent Development
AI agents are intelligent software entities capable of autonomous decision-making, task execution, and dynamic interaction with users or systems. Powered by large language models (LLMs) and integrated with tools, APIs, or memory, they perceive inputs, process them via reasoning engines, and act in real-time to achieve defined goals.
Unlike rule-based chatbots, AI agents use natural language understanding, context retention, and tool integration to handle complex, multi-step workflows. They can make decisions, access external data, use APIs, and work collaboratively with other agents or humans.
AI agents are used in: Customer service (24/7 virtual agents) Sales & marketing (lead qualification, email outreach) HR & IT (internal support agents) Finance (automated reporting, fraud detection) Healthcare (symptom triage, documentation agents)
We build agents with enterprise-grade security: end-to-end encryption, role-based access controls (RBAC), SOC 2, HIPAA, and GDPR alignment. Each agent is also tested for data leakage, bias, and misuse prevention via guardrails and sandbox environments.
Yes. Our AI agents are designed to seamlessly integrate with your existing stack—CRMs, databases, APIs, and cloud services—ensuring minimal disruption and fast time to value.
We use leading frameworks like LangChain, CrewAI, AutoGen, and LLMs such as GPT-4o, Claude 3.5, Gemini 1.5, and LLaMA 3. We match technology to use-case requirements—ensuring optimal performance, cost-efficiency, and scalability.
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Email us at sales@vervelo.com – we’re happy to help!
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